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  • The brief
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Generated Nov 10, 2026
  1. Programmable
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growth playbook · Nov 10, 2026

humwork.ai (opens in a new tab)

Humwork growth playbook

Diagnosis

Humwork is a two-person YC Spring 2026 company with a clear, new category (agents paying humans for help), a working MCP plugin, and claims of 3,000+ verified experts and an 83% resolution rate. It has one open role, a Founding Engineer who will own matching, the escalation layer, billing and the expert app.

The gaps are in the path from interest to a first paid consultation. The site promises 60-second setup but shows no install command, which lives in a GitHub repo with one star that the site never links to. There is no pricing, docs, sitemap or llms.txt page. The server is missing from the official MCP Registry and Glama.

Pricing exists only in the Terms, and credits are non-refundable. This playbook starts by putting the install, the price and the registry listing where builders and agents look. It then tunes when agents escalate and what users see afterwards, builds proof from real rescues, and grows into an answers library, a review tier and an embedded escalation API for agent companies.

Growth Score

6/10

Biggest Opportunity

Agents and their builders find tools in registries, READMEs and docs, not on marketing pages. If Humwork's install, price and capabilities are machine-readable and one copy-paste away in every client it supports, distribution can scale without a sales team.

Biggest Risk

Tendem, Pearl and approval tools like gotoHuman already sell human help to agents, and some show price and ETA before work starts. Unless Humwork makes its price, proof and first consultation easy and low-risk, builders will stall at an anonymous signup page with non-refundable credits behind it.

01

Start here

The three moves to make first. Each one is written up in full below.

  1. 1

    Put the 60-second install on the homepage: one copy-paste block for each agent you support

    Copy the README's snippets into a homepage component behind tabs.

    High impact First result in 2 weeks
  2. 2

    Publish a pricing page: what a credit buys, the minimum charge and a typical consultation

    Pull the median cost and length of last month's consultations by domain.

    High impact First result in 3 weeks
  3. 3

    List Humwork in the official MCP Registry and the main MCP directories

    Write the registry entry from the README's tool table and submit it.

    High impact First result in 2 weeks

02

Your idea portfolio

22 ideas, grouped by when to run them. Open any idea for how to run it: the steps, who to approach, copy you can use, and how to measure it.

  • 7 ideas are marked Unexpected: plays you are unlikely to have tried.

    1 of these are things Programmable can build and run for you.

Every idea placed by the effort it takes against the impact it could have. Quick wins sit top left; select a number to open that idea. The filters below narrow the list by status, timing, category and what Programmable can build.

Effort vs impactEach number is an idea. Select one to open it.
Impact →
Quick wins · 4Big bets · 6Fill-ins · 6Reconsider · 6
Effort →

Showing 22 of 22 ideas

This week 7

Quick wins with a clear first action.

  • 01

    The homepage promises "Plug & Play Integration" in "60 seconds" and lists twelve integrations, but it shows no install command, config snippet or docs link, and /docs returns 404. The commands already exist in Humwork's own GitHub README, one for every supported client, but that repo has one star and the site never links to it. A builder who wants to try Humwork has to sign up first and then hunt for setup steps.

    High impactLow effort First result in 2 weeks Founder/CTO

    First action

    Copy the README's snippets into a homepage component behind tabs.

    How to measure it

    24-hour activation rate

    Now
    –
    Target
    +30%
    By
    60 days

    Steps

    1. 1

      Pull the snippets

      One per client from the README, checked against the current server.

      Founder/CTO 2 hours

    2. 2

      Build the tabs

      Tabbed code block with a copy button under the hero.

      Founding Engineer 1 day

    3. 3

      Link the logos

      Each integration logo opens its tab.

      Founding Engineer 2 hours

    4. 4

      Preselect at signup

      Pass the chosen client to signup so the dashboard shows the right key and steps.

      Founding Engineer 1 day

    5. 5

      Link the repo

      A View on GitHub link beside the block.

      Founder/CTO 1 hour

    6. 6

      Track by client

      Copy clicks, signups and first consultations per tab.

      Founder/CEO weekly

    First result
    2 weeks
    Cost
    Two engineering days
    Owner
    Founder/CTO

    Smallest test

    Add the snippet for the single most-used client today and compare activation for a week.

    Why it works

    Add a tabbed install block under the hero, with one tab per integration on the homepage list (plugin marketplace, MCP config, web connector, IDE config, CLI config). Each tab shows the exact copy-paste snippet from the README and a 'Get your API key' button that opens signup with the client preselected. Link each integration logo to its tab, and add a 'View on GitHub' link. Then measure how many signups make their first consultation within 24 hours, by client.

    Developer tools convert on the first command that works. Showing the snippet before signup proves the 60-second claim, cuts the steps between a click and a first consultation, and sends GitHub traffic (and stars) to the repo that builders check for trust.

    Ready to use

    ChecklistHomepage install block

    [ ] One tab per homepage integration
    [ ] Exact snippet from the README, with a copy button
    [ ] 'Get your API key' button that opens signup with the client preselected
    [ ] Integration logos link to their tab
    [ ] 'View on GitHub' link
    [ ] Event tracking: tab view, copy, signup, first consultation

    Risks and how to handle them

    • Snippets go stale as clients change

      Generate the block from the README so there is one source.

    • Visitors copy the command but never get a key

      Show the key step inside each tab, with a one-click signup.

    Evidence

    • Your websiteHomepage (read November 10, 2026): headline "On demand Human Experts for AI Agents."; experts matched "in under 30 seconds"; "Plug & Play Integration" through "One MCP server, API call, or plugin" in "60 seconds", but the page shows no install command, config snippet or documentation link; every Get Started button goes to the app signup; domains listed are software engineering, product and business strategy, marketing and copy, design and UX, plus finance, research, operations, HR and compliance.Source
    • GitHubhumworkai/humwork-mcp (MIT licence, 1 star, 1 fork, 28 commits): install commands and config snippets for each supported client; tools consult_expert, send_chat_message, get_chat_messages, close_chat (optional 1-5 rating) and rate_chat; hooks and skills teach the agent to escalate on repeated failures, architectural decisions or unfamiliar domains; plugin sign-in lasts 30 days before re-authentication.Source
    • Your websiteSite structure (checked November 10, 2026): /pricing, /docs, /sitemap.xml, /robots.txt and /llms.txt all return 404; the public pages are the homepage, /support, /privacy and /terms, with no blog; the support page gives an email and phone line but no FAQ.Source
    • Your websiteIntegrations listed on the homepage: Claude Code, Cursor, Codex, Claude Cowork, Lovable, Replit, ChatGPT, Claude, Gemini, OpenClaw, "Any MCP" and "Any API", none linked to a setup guide. The README also covers Windsurf.Source
  • 02

    Humwork's whole product is an MCP server, but a search of the official MCP Registry returns 0 servers for "humwork", and Glama has no listing either. Builders and agent clients increasingly discover servers through these catalogues, so today Humwork is invisible in the place its buyers look for exactly this kind of tool.

    High impactLow effort First result in 2 weeks Founder/CTO

    First action

    Write the registry entry from the README's tool table and submit it.

    How to measure it

    Directory-referred signups

    Now
    –
    Target
    100 a month
    By
    90 days

    Steps

    1. 1

      Write the entry

      Name, description, tools, auth and homepage link.

      Founder/CTO 2 hours

    2. 2

      Publish to the registry

      The official MCP Registry first.

      Founder/CTO half a day

    3. 3

      Submit to directories

      Glama and the other large MCP catalogues.

      Founding Engineer 1 day

    4. 4

      Check rendering

      Tools, auth and links display correctly.

      Founding Engineer 1 hour

    5. 5

      Tag the links

      UTM per directory to the install block.

      Founder/CEO 1 hour

    6. 6

      Keep versions current

      Update listings with each release.

      Founding Engineer each release

    First result
    2 weeks
    Cost
    $0
    Owner
    Founder/CTO

    Smallest test

    Publish to the official registry this week and watch referral signups.

    Why it works

    Publish the remote server to the official MCP Registry with a clear name, description, tool list and auth method, then claim or submit listings on Glama and the other large directories, all pointing to the homepage install block. Use the same one-line description everywhere: human experts your agent can call when it gets stuck. Check each listing renders the tools correctly and track referral signups from each.

    Registry and directory listings are free, permanent distribution in the exact context of intent (someone looking for an MCP server), and they feed the client apps and search results that read from them.

    Risks and how to handle them

    • Listings drift out of date

      Make registry updates part of the release checklist.

    Builds on

    Evidence

    • MCP directoriesThe official MCP Registry returns 0 servers for "humwork", and Glama has no Humwork listing (both checked November 10, 2026).Source
    • GitHubhumworkai/humwork-mcp (MIT licence, 1 star, 1 fork, 28 commits): install commands and config snippets for each supported client; tools consult_expert, send_chat_message, get_chat_messages, close_chat (optional 1-5 rating) and rate_chat; hooks and skills teach the agent to escalate on repeated failures, architectural decisions or unfamiliar domains; plugin sign-in lasts 30 days before re-authentication.Source
    • HiringFounding Engineer (San Francisco, $90K-$140K plus 2.5%-5% equity): owns the matching engine, including coverage of rare domains; realtime agent-expert sessions with AI-summarized context handoff; the MCP plugin layer of tools, hooks and skills that decides when an agent should escalate and how it describes the problem; the expert mobile app; and the client dashboard, billing, ratings and observability. The post says Humwork launched as an MCP plugin a few months ago and is now scaling.Source
  • 03

    /pricing returns 404 and the homepage gives no price. The only pricing anywhere is in the Terms: a credit is worth about $1, consultations are pre-billed in fixed increments with a minimum charge, and credit purchases are non-refundable. Tendem, a direct alternative, shows deliverables, price and ETA before any work starts.

    High impactLow effort First result in 3 weeks Founder/CEO

    First action

    Pull the median cost and length of last month's consultations by domain.

    How to measure it

    Signup-to-purchase rate

    Now
    –
    Target
    +25%
    By
    60 days

    Steps

    1. 1

      Pull the numbers

      Median length and cost by domain.

      Founder/CEO half a day

    2. 2

      Write the page

      Tiers, increment, minimum, early-end rule, enterprise.

      Founder/CEO 1 day

    3. 3

      Add an example

      One real, anonymised consultation and its cost.

      Founder/CEO 2 hours

    4. 4

      Build and link

      Navigation, install block and dashboard.

      Founding Engineer 1 day

    5. 5

      Match the Terms

      Make sure the page and the Terms say the same thing.

      Founder/CEO 2 hours

    6. 6

      Measure

      Pricing views to purchases.

      Founder/CEO weekly

    First result
    3 weeks
    Cost
    Staff time only
    Owner
    Founder/CEO

    Smallest test

    Add a 'What it costs' section to the homepage with the credit price and a typical consultation.

    Why it works

    Publish /pricing with the credit price by purchase tier, the billing increment and minimum charge per consultation, the typical cost of a consultation by domain, what happens if a session ends early, and the enterprise path (volume pricing and invoicing). Add a small example: a stuck debugging session, how long it took and what it cost. Link it from the navigation and the install block.

    Builders will not buy non-refundable credits for an unknown cost. A clear price removes the biggest silent objection, and an example cost next to the hours an agent can waste looping makes the value obvious.

    Risks and how to handle them

    • Prices are still changing

      Date the page and show current rates, as the Terms already promise rates before each consultation.

    Evidence

    • Your websiteSite structure (checked November 10, 2026): /pricing, /docs, /sitemap.xml, /robots.txt and /llms.txt all return 404; the public pages are the homepage, /support, /privacy and /terms, with no blog; the support page gives an email and phone line but no FAQ.Source
    • Your websiteTerms (last updated April 8, 2026): "One credit has an approximate value of $1.00 USD"; consultations are pre-billed in fixed increments with a minimum charge, and rates are disclosed before a consultation starts; "All credit purchases are final and non-refundable", and pre-billed time is not refunded if a session ends early; Humwork keeps a service fee and pays experts, who are independent contractors, through Stripe Connect, typically in 2-7 business days.Source
    • Competitor researchTendem by Toloka (homepage): "Finished work, on demand"; 10,000+ vetted experts; pay per task, with deliverables, price and ETA shown before work starts; first three tasks at 50% off; typical turnaround 2-24 hours; connects to AI tools through MCP.Source
  • 04

    Book Demo is one of four items in the navigation, but it jumps to a section, "Want Humwork for your team?", that promises "Book a call and we'll set up your team in a day." In the page text we read twice, that section had no button, form, calendar or email link. If a booking widget loads there, it does not appear in the page's text. Either way, the highest-value visitors, teams deploying agents at scale, may hit a dead end.

    Medium impactLow effort First result in 1 week Founder/CEO

    First action

    Open the homepage with scripts off and check what the section shows.

    How to measure it

    Team calls booked from the site

    Now
    –
    Target
    8 a month
    By
    60 days

    Steps

    1. 1

      Check the section

      With and without scripts, on mobile and desktop.

      Founding Engineer 1 hour

    2. 2

      Add the calendar

      Embedded booking with a plain link fallback.

      Founding Engineer 2 hours

    3. 3

      Add three questions

      Team size, agents used, domains.

      Founder/CEO 1 hour

    4. 4

      Confirm instantly

      Email with the install block and pricing.

      Founder/CEO 2 hours

    5. 5

      Track

      Bookings from this section.

      Founder/CEO weekly

    6. 6

      Follow up

      Same-day reply to every booking.

      Founder/CEO ongoing

    First result
    1 week
    Cost
    $0 to a small calendar subscription
    Owner
    Founder/CEO

    Smallest test

    Add a plain 'Book a call' link and the founders' email to the section today.

    Why it works

    Put a visible booking control in the section: an embedded calendar plus a plain link and the founders' email as a fallback, so it works even when scripts are blocked. Add three questions (team size, agents used, domains needed) so the call starts prepared. Send an instant confirmation with the install block and pricing, and track bookings from this section.

    Enterprise intent is rare at this stage and every lost booking is expensive. A plain, always-visible link plus a calendar removes the risk of a silent failure.

    Risks and how to handle them

    • Low-fit calls take founder time

      Use the three questions to route small teams to self-serve.

    Evidence

    • Your websiteEnterprise: the Book Demo link jumps to a section headed "Want Humwork for your team?" ("Book a call and we'll set up your team in a day.", with priority matching, a custom expert pool, volume pricing and invoicing, and dedicated support); in the page text we read twice on November 10, 2026, that section had no button, form, calendar or email link.Source
  • 05

    The Software Engineering card says "130% Net retention" with no period, cohort or source, which reads like an investor metric on a developer page. The stats row ("<2 min" first reply, "83%" resolution, "3,000+" experts) has no date or method either. At launch in April, Humwork's sponsored coverage cited 1,000+ experts and an 87% resolution rate. Without dates, a careful reader sees numbers that moved and can't tell why.

    Medium impactLow effort First result in 2 weeks Founder/CEO

    First action

    Write one sentence defining 'resolution' and the time window.

    How to measure it

    Homepage signup rate

    Now
    –
    Target
    +10%
    By
    60 days

    Steps

    1. 1

      Define the stats

      Window and definition for each number.

      Founder/CEO 2 hours

    2. 2

      Pick a builder metric

      Median time to fix for software engineering.

      Founder/CTO 2 hours

    3. 3

      Write the methods note

      A short page linked from the stats row.

      Founder/CEO half a day

    4. 4

      Ship the changes

      Card, stats row and link.

      Founding Engineer 2 hours

    5. 5

      Automate

      Refresh the numbers from the database monthly.

      Founding Engineer 1 day

    6. 6

      Measure

      Signup rate before and after.

      Founder/CEO monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Founder/CEO

    Smallest test

    Remove the net retention label and add 'last 30 days' to the stats row.

    Why it works

    Swap the net retention figure for a builder metric, such as median time to fix in software engineering. Date the stats row ("last 30 days"), define resolution (the agent completed its task after the consultation, or the user rated it solved) and link a short methods note. Explain that the expert count grew from 1,000+ at launch to 3,000+ today, which is proof of momentum in itself.

    Technical buyers trust numbers they can check. Dated, defined stats turn the change from 87% to 83% into a measured figure, and a growing expert count becomes a story about growth rather than an inconsistency.

    Risks and how to handle them

    • An honest number is lower

      Show the trend and the definition; precision builds more trust than a high figure.

    Evidence

    • Your websiteHomepage proof: a stats row of "<2 min" average first reply, "83%" resolution rate and "3,000+" verified experts, with no date or method; the Software Engineering card shows "130% Net retention" with no period, cohort or source; no testimonials, case studies or customer video.Source
    • PressTestingCatalog (sponsored, April 15, 2026): at launch Humwork cited 1,000+ experts, an 87% resolution rate in beta, first responses under two minutes and 2,858 questions resolved before public launch; it contrasts Humwork with freelance marketplaces such as Upwork and Fiverr, where humans hire humans.Source
  • 06

    The expert pitch is "Get paid for your expertise. AI agents are hiring." and "Earn real money", but it gives no figures. The Terms say experts are paid through Stripe Connect, typically in 2-7 business days, and that fee rates are shared only during onboarding. Senior engineers, lawyers and designers decide whether to apply based on the hourly equivalent, and the page doesn't tell them.

    Medium impactLow effort First result in 2 weeks Founder/CEO

    First action

    Calculate median expert earnings per active hour by domain.

    How to measure it

    Priority-domain applications

    Now
    –
    Target
    +50%
    By
    60 days

    Steps

    1. 1

      Calculate earnings

      Median per consultation and per active hour by domain.

      Founder/CEO half a day

    2. 2

      Write the block

      Earnings, payout speed, vetting, queue.

      Founder/CEO half a day

    3. 3

      Get two profiles

      Active experts, with permission.

      Founder/CEO 1 week

    4. 4

      Ship

      Homepage expert section and expert signup.

      Founding Engineer 1 day

    5. 5

      Point at gaps

      Name the domains where demand outruns supply.

      Founder/CTO 2 hours

    6. 6

      Measure

      Applications and approvals by domain.

      Founder/CEO weekly

    First result
    2 weeks
    Cost
    $0
    Owner
    Founder/CEO

    Smallest test

    Add one line with the median hourly equivalent to the expert section.

    Why it works

    Add an earnings block to the expert section and the expert signup: typical earnings per consultation and per active hour by domain, payout speed, how the matching queue works, and what vetting involves. Add two short, permissioned profiles of active experts (role and domain, no client details). Target the domains where matching is thinnest.

    Supply quality decides resolution rate and match speed. Concrete pay and payout speed attract the senior specialists the product promises, especially in rare domains.

    Risks and how to handle them

    • Figures set expectations the queue can't meet

      Show ranges for active experts and say how demand varies by domain.

    Evidence

    • Your websiteExpert side: "Get paid for your expertise. AI agents are hiring." and "Earn real money helping AI agents solve hard problems", with no pay figures; Apply as Expert goes to the expert signup.Source
    • Your websiteTerms (last updated April 8, 2026): "One credit has an approximate value of $1.00 USD"; consultations are pre-billed in fixed increments with a minimum charge, and rates are disclosed before a consultation starts; "All credit purchases are final and non-refundable", and pre-billed time is not refunded if a session ends early; Humwork keeps a service fee and pays experts, who are independent contractors, through Stripe Connect, typically in 2-7 business days.Source
  • 07

    Humwork's buyer is often the agent itself: a coding agent asked to 'add a way to get human help' will read docs to install and call the tool. But /docs, /llms.txt, /robots.txt and /sitemap.xml all return 404. The whole site is a single marketing page, so an agent or an AI search engine has almost nothing to read about how Humwork works.

    Medium impactLow effort First result in 1 month Founder/CTO

    First action

    Turn the README into /docs and add an llms.txt pointing to it.

    How to measure it

    Docs-sourced installs

    Now
    –
    Target
    20% of new installs
    By
    90 days

    Steps

    1. 1

      Port the README

      Install, tools and workflow into /docs.

      Founder/CTO 1 day

    2. 2

      Add when-to-escalate

      The rules the hooks and skills use.

      Founder/CTO 2 hours

    3. 3

      Write llms.txt

      Summary plus links to docs and pricing.

      Founding Engineer 1 hour

    4. 4

      Add sitemap and robots

      All public pages listed.

      Founding Engineer 1 hour

    5. 5

      Test with an agent

      Ask a coding agent to install Humwork from the docs alone.

      Founding Engineer 2 hours

    6. 6

      Fix gaps

      Wherever the agent got stuck.

      Founder/CTO 1 day

    First result
    1 month
    Cost
    $0
    Owner
    Founder/CTO

    Smallest test

    Ship an llms.txt today and ask three agents to set up Humwork from it.

    Why it works

    Publish /docs from the README: install per client, the five tools and their inputs, when to escalate, what context is shared and redacted, billing per consultation and rating. Add /llms.txt that summarises the product and links to the docs and pricing, plus a sitemap and robots file. Write it so an agent can follow it without a human.

    When agents choose and install tools, the vendor whose docs the agent can parse wins. It also helps AI search answers describe Humwork accurately.

    Risks and how to handle them

    • Docs and README drift apart

      Generate both from one source.

    Builds on

    Evidence

    • Your websiteSite structure (checked November 10, 2026): /pricing, /docs, /sitemap.xml, /robots.txt and /llms.txt all return 404; the public pages are the homepage, /support, /privacy and /terms, with no blog; the support page gives an email and phone line but no FAQ.Source
    • GitHubhumworkai/humwork-mcp (MIT licence, 1 star, 1 fork, 28 commits): install commands and config snippets for each supported client; tools consult_expert, send_chat_message, get_chat_messages, close_chat (optional 1-5 rating) and rate_chat; hooks and skills teach the agent to escalate on repeated failures, architectural decisions or unfamiliar domains; plugin sign-in lasts 30 days before re-authentication.Source

This quarter 9

The core plays for the next three months.

  • 08

    Credit purchases are final and non-refundable, and pre-billed time isn't returned if a session ends early. For someone who has never tried human escalation, that is a risky first purchase. A directory lists a free tier but the site doesn't mention one. Tendem gives the first three tasks at 50% off.

    High impactLow effort First result in 1 month Founder/CEO

    First action

    Decide the size of the free credit from the median consultation cost.

    How to measure it

    First-consultation rate

    Now
    –
    Target
    +40%
    By
    60 days

    Steps

    1. 1

      Size the credit

      Enough for one median consultation.

      Founder/CEO 1 hour

    2. 2

      Build the grant

      Auto-credit at signup, one per account.

      Founding Engineer 2 days

    3. 3

      Guard against abuse

      Card or verified email before use.

      Founder/CTO 1 day

    4. 4

      Announce it

      Hero, install block and pricing page.

      Founder/CEO 2 hours

    5. 5

      Show the value after

      What it would have cost and a first-pack offer.

      Founding Engineer 1 day

    6. 6

      Measure

      Free-to-paid conversion and expert cost.

      Founder/CEO weekly

    First result
    1 month
    Cost
    One consultation per new user (expert payout)
    Owner
    Founder/CEO

    Smallest test

    Offer the free consultation to next week's signups only and compare.

    Why it works

    Give every new account one free consultation (or a starter credit sized to the minimum charge), say so in the hero and on the pricing page, and trigger it only when the agent actually escalates. After the free session, show what it would have cost and offer a small first pack.

    The value of Humwork is felt in the moment an agent stops looping. A free first rescue gets builders to that moment without the risk of buying non-refundable credits up front.

    Risks and how to handle them

    • Free sessions cost real expert time

      Cap at the minimum charge and require a verified account.

    Builds on

    Evidence

    • Your websiteTerms (last updated April 8, 2026): "One credit has an approximate value of $1.00 USD"; consultations are pre-billed in fixed increments with a minimum charge, and rates are disclosed before a consultation starts; "All credit purchases are final and non-refundable", and pre-billed time is not refunded if a session ends early; Humwork keeps a service fee and pays experts, who are independent contractors, through Stripe Connect, typically in 2-7 business days.Source
    • Directory listingEveryDev lists Humwork as freemium with a free tier, and shows no ratings or reviews.Source
    • Competitor researchTendem by Toloka (homepage): "Finished work, on demand"; 10,000+ vetted experts; pay per task, with deliverables, price and ETA shown before work starts; first three tasks at 50% off; typical turnaround 2-24 hours; connects to AI tools through MCP.Source
  • 09

    Usage depends on one decision made inside the agent: whether to call consult_expert. The README's hooks and skills tell agents to escalate on repeated failures, architectural decisions or unfamiliar domains, and the Founding Engineer will own the layer that decides when an agent should escalate and how it describes the problem. If the agent escalates too late, the user has already given up; too early, and it wastes credits and expert time.

    High impactMedium effort First result in 1 quarter Founding Engineer

    First action

    Add logging of attempts-before-escalation and outcome to every consultation.

    How to measure it

    Resolved consultations per active user per month

    Now
    –
    Target
    +30%
    By
    1 quarter

    Steps

    1. 1

      Instrument

      Attempts, loop time and outcome per escalation.

      Founding Engineer 1 week

    2. 2

      Find patterns

      Which triggers resolve fastest.

      Founder/CTO 1 week

    3. 3

      Test rules

      Two or three trigger variants in the hooks.

      Founding Engineer 2 weeks

    4. 4

      Add user controls

      Budget and sensitivity settings.

      Founding Engineer 1 week

    5. 5

      Sharpen the brief

      A better problem summary template.

      Founder/CTO 1 week

    6. 6

      Report

      Resolution and cost by trigger.

      Founder/CTO monthly

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Founding Engineer

    Smallest test

    Ship one rule (escalate after the same error twice) to 20% of users.

    Why it works

    Log every escalation with the attempts before it, the time spent looping and the outcome. Then test trigger rules (for example, after the same error twice, or before a schema or architecture change) and let users set a budget and sensitivity. Improve the problem summary the agent sends, since a better brief shortens consultations. Report resolution and cost by trigger type.

    Well-timed escalations raise resolution rates and lower cost per fix, which keeps users from switching the plugin off. This is product-led growth sitting inside someone else's product.

    Risks and how to handle them

    • Aggressive triggers feel like upselling

      Default to conservative, with a visible budget.

    Evidence

    • GitHubhumworkai/humwork-mcp (MIT licence, 1 star, 1 fork, 28 commits): install commands and config snippets for each supported client; tools consult_expert, send_chat_message, get_chat_messages, close_chat (optional 1-5 rating) and rate_chat; hooks and skills teach the agent to escalate on repeated failures, architectural decisions or unfamiliar domains; plugin sign-in lasts 30 days before re-authentication.Source
    • HiringFounding Engineer (San Francisco, $90K-$140K plus 2.5%-5% equity): owns the matching engine, including coverage of rare domains; realtime agent-expert sessions with AI-summarized context handoff; the MCP plugin layer of tools, hooks and skills that decides when an agent should escalate and how it describes the problem; the expert mobile app; and the client dashboard, billing, ratings and observability. The post says Humwork launched as an MCP plugin a few months ago and is now scaling.Source
  • 10

    The homepage lists twelve integrations, from coding IDEs and CLIs to app builders and chat assistants, but none links to a setup guide. Several of those tools now have their own in-product directories of connectors, plugins or MCP servers, and the README already ships the config each one needs. A listing inside the tool is where a stuck user would find Humwork at the moment of need.

    High impactMedium effort First result in 1 quarter Founder/CEO

    First action

    Rank the twelve integrations by active Humwork users and check which have directories.

    How to measure it

    Directory installs

    Now
    –
    Target
    30% of new installs
    By
    1 quarter

    Steps

    1. 1

      Rank tools

      Active users per integration.

      Founder/CEO half a day

    2. 2

      Map directories

      Which tools accept listings and how.

      Founder/CEO 1 day

    3. 3

      Prepare packages

      Manifests and one-click configs.

      Founding Engineer 2 weeks

    4. 4

      Build landing pages

      One per tool with install and demo.

      Founding Engineer 2 weeks

    5. 5

      Submit

      Top five directories first.

      Founder/CEO 2 weeks

    6. 6

      Track

      Installs and first consultations per tool.

      Founder/CEO monthly

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Founder/CEO

    Smallest test

    Submit to the directory of the most-used integration this month.

    Why it works

    For each integration on the homepage, find its official directory or marketplace and submit Humwork with a one-click install where supported. Prioritise by active users today. Give each tool a landing page (/integrations/<tool>) with its install steps and a short demo, and link the directory listing to it.

    In-product directories put Humwork one click from the user, inside the client they already run, with the client's trust attached.

    Risks and how to handle them

    • Review queues are slow

      Submit to several at once and lead with the fastest.

    Builds on

    Evidence

    • Your websiteIntegrations listed on the homepage: Claude Code, Cursor, Codex, Claude Cowork, Lovable, Replit, ChatGPT, Claude, Gemini, OpenClaw, "Any MCP" and "Any API", none linked to a setup guide. The README also covers Windsurf.Source
    • GitHubhumworkai/humwork-mcp (MIT licence, 1 star, 1 fork, 28 commits): install commands and config snippets for each supported client; tools consult_expert, send_chat_message, get_chat_messages, close_chat (optional 1-5 rating) and rate_chat; hooks and skills teach the agent to escalate on repeated failures, architectural decisions or unfamiliar domains; plugin sign-in lasts 30 days before re-authentication.Source
  • 11

    In Humwork the expert talks to the agent, not the user, and the answer goes straight back into the agent's context. That is the product's magic, but it also means the person paying may never see what was fixed, by whom, or what it cost. The only feedback loop in the README is an optional 1-5 rating the agent submits.

    Medium impactMedium effort First result in 6 weeks Founding Engineer

    First action

    Draft the card from one real consultation transcript.

    How to measure it

    Paying users active in month 2

    Now
    –
    Target
    +20%
    By
    1 quarter

    Steps

    1. 1

      Design the card

      Problem, fix, time, cost, rating.

      Founder/CEO 2 days

    2. 2

      Generate it

      From the session on close.

      Founding Engineer 1 week

    3. 3

      Deliver

      Email and dashboard.

      Founding Engineer 3 days

    4. 4

      Add human rating

      One click from the email.

      Founding Engineer 2 days

    5. 5

      Monthly digest

      Fixes and hours saved.

      Founding Engineer 1 week

    6. 6

      Measure

      Retention and repeat purchase.

      Founder/CEO monthly

    First result
    6 weeks
    Cost
    Engineering time
    Owner
    Founding Engineer

    Smallest test

    Email ten recent users a hand-written card and ask if it's useful.

    Why it works

    When close_chat runs, send the user (email and dashboard) a short card: the problem, what the expert changed or advised, time to fix, credits spent, the expert's domain and a one-click rating. Add a monthly digest: consultations, fixes and estimated hours saved. Let users share a card publicly with sensitive details removed.

    People keep paying for what they can see working. A visible receipt of each rescue builds the habit, gives users a story to tell colleagues, and gives Humwork real ratings from humans.

    Risks and how to handle them

    • Summaries expose sensitive code

      Use the same redaction as the handoff and keep cards private by default.

    Evidence

    • GitHubhumworkai/humwork-mcp (MIT licence, 1 star, 1 fork, 28 commits): install commands and config snippets for each supported client; tools consult_expert, send_chat_message, get_chat_messages, close_chat (optional 1-5 rating) and rate_chat; hooks and skills teach the agent to escalate on repeated failures, architectural decisions or unfamiliar domains; plugin sign-in lasts 30 days before re-authentication.Source
    • Y CombinatorSpring 2026 batch, founded 2025, a team of 2 in San Francisco; the launch post (about 25 upvotes) asks AI agent companies and internal agent teams to integrate Humwork as an escalation layer, and experts in engineering, law, marketing, design and medicine to join; a demo video is on YouTube.Source
  • 12

    The README says the plugin's sign-in lasts 30 days, after which the user has to re-authenticate. A builder who installed Humwork once and hasn't needed it for a month may find that the next time their agent gets stuck, it can't reach Humwork. The agent quietly carries on without help, and the user may never know why.

    Medium impactLow effort First result in 1 month Founding Engineer

    First action

    Count accounts whose sign-in expired with no renewal in the last 60 days.

    How to measure it

    Live-connection rate

    Now
    –
    Target
    90%
    By
    60 days

    Steps

    1. 1

      Measure lapses

      Expired with no renewal.

      Founding Engineer half a day

    2. 2

      Warn before expiry

      Email and dashboard notice.

      Founding Engineer 2 days

    3. 3

      Silent refresh

      Where the client supports it.

      Founder/CTO 1 week

    4. 4

      Clear error

      An expired call returns a reconnect link the agent can show.

      Founding Engineer 1 day

    5. 5

      One-click renewal

      Link straight to re-auth.

      Founding Engineer 1 day

    6. 6

      Report weekly

      Lapsed and renewed accounts.

      Founder/CTO weekly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Founding Engineer

    Smallest test

    Email every account that expired last month a reconnect link and count returns.

    Why it works

    Track token expiry per account. Email and show a dashboard notice a few days before expiry with a one-click renewal link, refresh tokens silently where the client allows it, and make sure an expired call returns a clear message the agent passes on ('reconnect Humwork: <link>'). Report how many accounts are lapsed each week.

    Escalations are rare but valuable. If the tool is disconnected at the moment of need, the user decides it doesn't work. Keeping the connection alive protects every future consultation.

    Risks and how to handle them

    • Longer sessions raise security concerns

      Prefer reminders and refresh tokens over longer-lived credentials.

    Evidence

    • GitHubhumworkai/humwork-mcp (MIT licence, 1 star, 1 fork, 28 commits): install commands and config snippets for each supported client; tools consult_expert, send_chat_message, get_chat_messages, close_chat (optional 1-5 rating) and rate_chat; hooks and skills teach the agent to escalate on repeated failures, architectural decisions or unfamiliar domains; plugin sign-in lasts 30 days before re-authentication.Source
  • 13

    The homepage claims experts across software engineering, strategy, marketing, design, finance, research, operations, HR and compliance, and the launch post invites lawyers and medical experts. But the site is one page with no blog, so none of those domains has a page of its own. A marketer or analyst searching for human review of an agent's work finds nothing to land on.

    Medium impactMedium effort First result in 2 months Founder/CEO

    First action

    Rank domains by consultations last quarter.

    How to measure it

    Domain-page signups

    Now
    –
    Target
    50 a month
    By
    1 quarter

    Steps

    1. 1

      Rank domains

      By consultations and resolution.

      Founder/CEO half a day

    2. 2

      Write a template

      Stuck moments, experts, time, cost, install.

      Founder/CEO 1 day

    3. 3

      Write two pages

      Top two non-engineering domains.

      Founder/CEO 1 week

    4. 4

      Build and link

      From the homepage domain cards.

      Founding Engineer 2 days

    5. 5

      Add more

      One domain every two weeks.

      Founder/CEO ongoing

    6. 6

      Measure

      Traffic and signups per page.

      Founder/CEO monthly

    First result
    2 months
    Cost
    Writing time
    Owner
    Founder/CEO

    Smallest test

    Publish one domain page and link it from its homepage card.

    Why it works

    Publish a page per domain: the typical stuck moments in that domain, sample expert profiles (role and seniority), median time to fix, cost, and an install path for the agents that domain uses. Start with the two non-engineering domains that already get the most consultations. Link them from the homepage domain cards.

    Domain pages rank for specific intent and let non-developer agent users see themselves in the product, which widens the market beyond coding agents.

    Risks and how to handle them

    • Thin supply in a featured domain

      Only publish domains with reliable match times.

    Evidence

    • Your websiteHomepage (read November 10, 2026): headline "On demand Human Experts for AI Agents."; experts matched "in under 30 seconds"; "Plug & Play Integration" through "One MCP server, API call, or plugin" in "60 seconds", but the page shows no install command, config snippet or documentation link; every Get Started button goes to the app signup; domains listed are software engineering, product and business strategy, marketing and copy, design and UX, plus finance, research, operations, HR and compliance.Source
    • Your websiteSite structure (checked November 10, 2026): /pricing, /docs, /sitemap.xml, /robots.txt and /llms.txt all return 404; the public pages are the homepage, /support, /privacy and /terms, with no blog; the support page gives an email and phone line but no FAQ.Source
    • Y CombinatorSpring 2026 batch, founded 2025, a team of 2 in San Francisco; the launch post (about 25 upvotes) asks AI agent companies and internal agent teams to integrate Humwork as an escalation layer, and experts in engineering, law, marketing, design and medicine to join; a demo video is on YouTube.Source
  • 14

    Humwork's best proof is visual: an agent stuck in a traceback loop, an expert joining, and the task carrying on. A demo video exists on YouTube via the YC page, but the homepage has no video, testimonials or case studies, and the site links only X and LinkedIn.

    Medium impactMedium effort First result in 1 month Founder/CEO

    First action

    Ask the last five resolved users for permission to clip their session.

    How to measure it

    Social-sourced signups

    Now
    –
    Target
    150 a month
    By
    1 quarter

    Steps

    1. 1

      Get permission

      Opt-in at close for clip use.

      Founder/CEO 1 week

    2. 2

      Record

      One rescue a week, redacted.

      Founder/CTO weekly

    3. 3

      Edit

      Under 60 seconds with time and cost.

      Founder/CEO weekly

    4. 4

      Post

      X and LinkedIn, native video.

      Founder/CEO weekly

    5. 5

      Embed

      Best three on the homepage.

      Founding Engineer 1 day

    6. 6

      Measure

      Views to signups per clip.

      Founder/CEO monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Founder/CEO

    Smallest test

    Post one rescue clip this week and track clicks.

    Why it works

    With permission and redaction, record one real rescue a week as a short screen capture: the loop, the escalation, the expert's fix, the agent finishing, and the time and cost. Post it natively on X and LinkedIn with the install link, and embed the best three on the homepage under the hero.

    Developers share demos that show a familiar pain resolved. Real rescues are more believable than claims and feed both social reach and homepage conversion.

    Risks and how to handle them

    • Customer code shown by mistake

      Redact and get sign-off before posting.

    Evidence

    • Your websiteHomepage proof: a stats row of "<2 min" average first reply, "83%" resolution rate and "3,000+" verified experts, with no date or method; the Software Engineering card shows "130% Net retention" with no period, cohort or source; no testimonials, case studies or customer video.Source
    • Y CombinatorSpring 2026 batch, founded 2025, a team of 2 in San Francisco; the launch post (about 25 upvotes) asks AI agent companies and internal agent teams to integrate Humwork as an escalation layer, and experts in engineering, law, marketing, design and medicine to join; a demo video is on YouTube.Source
    • ResearchChannels: the site links only X and LinkedIn; no YouTube channel, newsletter, blog or public status page; no Hacker News mentions found.Source
  • 15

    Today a team either buys credits as individuals or books a call for enterprise (priority matching, custom pools, volume pricing and invoicing). There is nothing in between for a five-person engineering team that wants shared credits and one bill, and the founders' time is the scarcest resource in a two-person company.

    High impactMedium effort First result in 2 months Founder/CEO

    First action

    Count accounts that share an email domain with two or more users.

    How to measure it

    Team-plan share of revenue

    Now
    –
    Target
    30%
    By
    2 quarters

    Steps

    1. 1

      Find teams

      Shared email domains today.

      Founder/CEO 1 day

    2. 2

      Scope

      Seats, pool, budgets, invoicing.

      Founder/CTO 2 days

    3. 3

      Build

      Workspace and shared billing.

      Founding Engineer 4 weeks

    4. 4

      Price

      Volume discount tiers on the pricing page.

      Founder/CEO 1 day

    5. 5

      Invite teams

      Email accounts with shared domains.

      Founder/CEO 1 week

    6. 6

      Measure

      Seats and spend per team.

      Founder/CEO monthly

    First result
    2 months
    Cost
    Engineering time
    Owner
    Founder/CEO

    Smallest test

    Offer a manual shared pool to three teams and invoice them by hand.

    Why it works

    Add a team workspace: invite teammates, share a credit pool, set per-user and per-agent budgets, see consultations across the team, and pay by card or monthly invoice above a threshold. Keep custom expert pools and priority matching for enterprise. Promote it on the pricing page and in the Book Demo section for small teams.

    Team plans raise revenue per account and spread usage across users, which smooths the uneven, need-driven pattern of individual escalations.

    Risks and how to handle them

    • Cannibalises enterprise deals

      Keep custom pools and priority matching enterprise-only.

    Builds on

    Evidence

    • Your websiteEnterprise: the Book Demo link jumps to a section headed "Want Humwork for your team?" ("Book a call and we'll set up your team in a day.", with priority matching, a custom expert pool, volume pricing and invoicing, and dedicated support); in the page text we read twice on November 10, 2026, that section had no button, form, calendar or email link.Source
    • Your websiteTerms (last updated April 8, 2026): "One credit has an approximate value of $1.00 USD"; consultations are pre-billed in fixed increments with a minimum charge, and rates are disclosed before a consultation starts; "All credit purchases are final and non-refundable", and pre-billed time is not refunded if a session ends early; Humwork keeps a service fee and pays experts, who are independent contractors, through Stripe Connect, typically in 2-7 business days.Source
    • Y CombinatorSpring 2026 batch, founded 2025, a team of 2 in San Francisco; the launch post (about 25 upvotes) asks AI agent companies and internal agent teams to integrate Humwork as an escalation layer, and experts in engineering, law, marketing, design and medicine to join; a demo video is on YouTube.Source
  • 16

    The Founding Engineer role explicitly covers coverage of rare domains in the matching engine, and the homepage promises experts in any domain, around the clock. Every unmatched or slow match in a rare domain is a failed promise. The experts Humwork already has are the best route to more people like them.

    Medium impactMedium effort First result in 2 months Founder/CTO

    First action

    List last month's ten slowest or failed matches by domain.

    How to measure it

    Rare-domain match time

    Now
    –
    Target
    Under 60 seconds
    By
    1 quarter

    Steps

    1. 1

      Log gaps

      Slow and failed matches by domain and time zone.

      Founding Engineer 1 week

    2. 2

      Set the bonus

      Paid after vetting and five consultations.

      Founder/CEO 1 day

    3. 3

      Add referral links

      Expert app and payout emails.

      Founding Engineer 1 week

    4. 4

      Publish gaps

      Monthly note to experts.

      Founder/CTO monthly

    5. 5

      Fast-track vetting

      For referred experts in gap domains.

      Founder/CTO ongoing

    6. 6

      Measure

      Match time and resolution by domain.

      Founder/CTO monthly

    First result
    2 months
    Cost
    Referral bonuses
    Owner
    Founder/CTO

    Smallest test

    Ask experts in one gap domain for referrals this month.

    Why it works

    Log every request that took too long to match or went unresolved, by domain and time zone. Each month, publish the top gaps to current experts and pay a referral bonus when a referred expert passes vetting and completes five consultations. Add a 'refer a colleague' link to the expert app and to payout emails.

    Specialists know other specialists. Referrals pointed at measured gaps raise match speed and resolution where it matters most, at lower cost than broad recruiting.

    Risks and how to handle them

    • Referred experts are lower quality

      Same vetting for everyone; bonus only after five rated consultations.

    Builds on

    Evidence

    • HiringFounding Engineer (San Francisco, $90K-$140K plus 2.5%-5% equity): owns the matching engine, including coverage of rare domains; realtime agent-expert sessions with AI-summarized context handoff; the MCP plugin layer of tools, hooks and skills that decides when an agent should escalate and how it describes the problem; the expert mobile app; and the client dashboard, billing, ratings and observability. The post says Humwork launched as an MCP plugin a few months ago and is now scaling.Source
    • Your websiteExpert side: "Get paid for your expertise. AI agents are hiring." and "Earn real money helping AI agents solve hard problems", with no pay figures; Apply as Expert goes to the expert signup.Source
    • Your websiteHomepage (read November 10, 2026): headline "On demand Human Experts for AI Agents."; experts matched "in under 30 seconds"; "Plug & Play Integration" through "One MCP server, API call, or plugin" in "60 seconds", but the page shows no install command, config snippet or documentation link; every Get Started button goes to the app signup; domains listed are software engineering, product and business strategy, marketing and copy, design and UX, plus finance, research, operations, HR and compliance.Source

Big bets 3

Larger plays that can change the trajectory.

  • 17

    Humwork resolved 2,858 questions before public launch and has kept going since. Many stuck moments repeat: the same framework error, the same deployment trap. Today each one pays for a fresh human. A library of expert-verified fixes, searchable by the agent before it escalates, would answer repeats instantly and cheaply, and leave humans for the new problems.

    High impactHigh effort First result in 2 quarters Founder/CTO

    First action

    Cluster last quarter's software consultations by error signature to measure repeat rates.

    How to measure it

    Library-resolved share

    Now
    –
    Target
    25%
    By
    2 quarters

    Steps

    1. 1

      Measure repeats

      Cluster consultations by problem signature.

      Founder/CTO 2 weeks

    2. 2

      Set consent

      Opt-in for reuse, with redaction.

      Founder/CEO 2 weeks

    3. 3

      Build the library

      Verified fixes with expert attribution.

      Founding Engineer 6 weeks

    4. 4

      Add the tool

      A lookup the agent calls before escalating.

      Founding Engineer 3 weeks

    5. 5

      Pay experts

      Revenue share on reused fixes.

      Founder/CEO 2 weeks

    6. 6

      Price and launch

      A fraction of a consultation.

      Founder/CEO 2 weeks

    7. 7

      Measure

      Hit rate, accuracy and revenue mix.

      Founder/CTO monthly

    First result
    2 quarters
    Cost
    One engineer for a quarter
    Owner
    Founder/CTO

    Smallest test

    Hand-write 50 fixes for the most common errors and test lookup hit rate.

    Why it works

    With customer consent and redaction, distil resolved consultations into short verified fixes (problem signature, fix, expert domain, date). Add a lookup tool the agent calls before consult_expert, priced at a fraction of a consultation, with a share paid to the expert whose fix is reused. Show 'answered from verified fixes' in the session summary.

    It creates a cheaper entry tier, pays experts for reusable work, and builds a data asset competitors with hour-long turnarounds can't match. Each consultation makes the next one cheaper.

    Risks and how to handle them

    • Customers object to reuse of their sessions

      Opt-in only, generalised fixes, no code or names.

    • Library cannibalises consultations

      Price for volume; humans stay on new problems.

    Builds on

    Evidence

    • PressTestingCatalog (sponsored, April 15, 2026): at launch Humwork cited 1,000+ experts, an 87% resolution rate in beta, first responses under two minutes and 2,858 questions resolved before public launch; it contrasts Humwork with freelance marketplaces such as Upwork and Fiverr, where humans hire humans.Source
    • GitHubhumworkai/humwork-mcp (MIT licence, 1 star, 1 fork, 28 commits): install commands and config snippets for each supported client; tools consult_expert, send_chat_message, get_chat_messages, close_chat (optional 1-5 rating) and rate_chat; hooks and skills teach the agent to escalate on repeated failures, architectural decisions or unfamiliar domains; plugin sign-in lasts 30 days before re-authentication.Source
    • Competitor researchTendem by Toloka (homepage): "Finished work, on demand"; 10,000+ vetted experts; pay per task, with deliverables, price and ETA shown before work starts; first three tasks at 50% off; typical turnaround 2-24 hours; connects to AI tools through MCP.Source
  • 18

    Humwork already recruits lawyers, finance and compliance specialists, and pitches 'subtly wrong' agent output as the core problem. Approval tools like gotoHuman sell human supervision of agent actions, but with the customer's own reviewers. Pearl offers credentialed experts in legal, financial and medical fields. Nobody combines an on-demand expert network with a recorded review step inside the agent's loop.

    High impactHigh effort First result in 2 quarters Founder/CEO

    First action

    Interview five enterprise prospects about which agent outputs they already have humans review.

    How to measure it

    Review-tier revenue

    Now
    –
    Target
    20% of revenue
    By
    3 quarters

    Steps

    1. 1

      Interview buyers

      Five teams deploying agents at scale.

      Founder/CEO 3 weeks

    2. 2

      Pick two domains

      Where supply and demand meet.

      Founder/CEO 1 week

    3. 3

      Define the review

      Scope, disclaimers and expert terms, with legal advice.

      Founder/CEO 3 weeks

    4. 4

      Build review mode

      Approve, edit, reject and the record.

      Founding Engineer 6 weeks

    5. 5

      Recruit reviewers

      Credential-checked experts.

      Founder/CTO 4 weeks

    6. 6

      Pilot

      Two design partners.

      Founder/CEO 1 quarter

    7. 7

      Price

      Per review with SLAs.

      Founder/CEO 2 weeks

    First result
    2 quarters
    Cost
    Engineering quarter plus legal review
    Owner
    Founder/CEO

    Smallest test

    Run manual reviews for one design partner in one domain for a month.

    Why it works

    Add a review mode: before an agent ships a contract clause, a financial model, a migration or public copy, it sends the output to a vetted expert in that domain, who approves, edits or rejects it. The record (who reviewed, credentials, what changed, when) goes into a downloadable log. Price it per review, with enterprise SLAs. Be clear about what a review is and isn't (for example, not legal advice unless the expert's terms say so).

    Teams deploying agents for higher-stakes work need a human on record, and will pay more for it than for debugging help. It also sells to the enterprise buyers the Book Demo section targets.

    Risks and how to handle them

    • Liability for reviewed work

      Take legal advice, define scope in the terms, and start with lower-risk domains.

    • Slow reviews break the agent loop

      Async mode with notifications for long reviews.

    Evidence

    • Competitor researchgotoHuman (homepage): "AI Automation unlocked with human supervision"; reviewers approve and edit agent actions; integrations with n8n, Make, JavaScript, Python and LangGraph plus an MCP server; a case study reports 40 hours saved monthly.Source
    • Competitor researchPearl's MCP server (blog, May 2025): tools for a fast AI answer, an AI intake then a human expert, or a direct expert answer, across legal, veterinary, automotive, insurance, financial and medical fields; API keys requested by email.Source
    • Y CombinatorSpring 2026 batch, founded 2025, a team of 2 in San Francisco; the launch post (about 25 upvotes) asks AI agent companies and internal agent teams to integrate Humwork as an escalation layer, and experts in engineering, law, marketing, design and medicine to join; a demo video is on YouTube.Source
    • Your websiteEnterprise: the Book Demo link jumps to a section headed "Want Humwork for your team?" ("Book a call and we'll set up your team in a day.", with priority matching, a custom expert pool, volume pricing and invoicing, and dedicated support); in the page text we read twice on November 10, 2026, that section had no button, form, calendar or email link.Source
  • 19

    The YC launch asks AI agent companies and internal agent teams to integrate Humwork as an escalation layer, and the Founding Engineer post sets the goal of making human escalation standard under every serious agentic system. App builders on the integration list serve many non-technical users who get stuck and can't tell where the agent went wrong, which is exactly the user the launch post describes.

    High impactHigh effort First result in 2 quarters Founder/CEO

    First action

    List ten agent companies whose users get stuck most visibly and contact three.

    How to measure it

    Partner-sourced consultations

    Now
    –
    Target
    40% of volume
    By
    3 quarters

    Steps

    1. 1

      Shortlist partners

      Ten agent and app-builder companies.

      Founder/CEO 1 week

    2. 2

      Pitch three

      Completion-rate story and revenue share.

      Founder/CEO 1 month

    3. 3

      Build the partner API

      Billing, limits and dashboard.

      Founding Engineer 6 weeks

    4. 4

      Co-brand the UI

      A drop-in 'Get an expert' component.

      Founding Engineer 3 weeks

    5. 5

      Pilot

      Two design partners.

      Founder/CTO 1 quarter

    6. 6

      Measure

      Completion with and without escalation.

      Founder/CTO monthly

    7. 7

      Publish

      Joint case study.

      Founder/CEO 2 weeks

    First result
    2 quarters
    Cost
    Engineering quarter plus founder sales time
    Owner
    Founder/CEO

    Smallest test

    Run a manual pilot with one partner's power users for a month.

    Why it works

    Package a partner API: white-label or co-branded 'Get a human expert' inside the partner's product, partner-level billing with a revenue share, a partner dashboard, and usage limits per end user. Sign two design partners among agent and app-builder companies, measure their users' completion rates with and without escalation, and publish the result as a case study.

    One partner integration can bring thousands of end users at once, without Humwork paying to reach them, and partners gain fewer abandoned projects.

    Risks and how to handle them

    • Partners build their own

      Compete on supply: the vetted network is the hard part.

    • Supply can't meet partner spikes

      Per-partner limits and priority pools.

    Builds on

    Evidence

    • Y CombinatorSpring 2026 batch, founded 2025, a team of 2 in San Francisco; the launch post (about 25 upvotes) asks AI agent companies and internal agent teams to integrate Humwork as an escalation layer, and experts in engineering, law, marketing, design and medicine to join; a demo video is on YouTube.Source
    • HiringFounding Engineer (San Francisco, $90K-$140K plus 2.5%-5% equity): owns the matching engine, including coverage of rare domains; realtime agent-expert sessions with AI-summarized context handoff; the MCP plugin layer of tools, hooks and skills that decides when an agent should escalate and how it describes the problem; the expert mobile app; and the client dashboard, billing, ratings and observability. The post says Humwork launched as an MCP plugin a few months ago and is now scaling.Source
    • Your websiteIntegrations listed on the homepage: Claude Code, Cursor, Codex, Claude Cowork, Lovable, Replit, ChatGPT, Claude, Gemini, OpenClaw, "Any MCP" and "Any API", none linked to a setup guide. The README also covers Windsurf.Source

Wildcards 3

Unexpected experiments, each with a cheap way to test it.

  • 20

    Humwork sees something almost no one else sees: the exact moments agents fail and what a human did to fix them, across domains and tools. With 2,858 questions resolved before launch and many more since, that data is a story the agent-building community wants, and Humwork has no blog, newsletter or Hacker News presence to tell it.

    Medium impactMedium effort First result in 1 month Founder/CEO

    First action

    Pull last month's consultations by domain and failure type.

    How to measure it

    Report-referred signups

    Now
    –
    Target
    100 a month
    By
    2 quarters

    Steps

    1. 1

      Define categories

      Failure types and domains.

      Founder/CTO 2 days

    2. 2

      Pull data

      Aggregated and anonymised.

      Founding Engineer 2 days

    3. 3

      Write

      Five findings and charts.

      Founder/CEO 3 days

    4. 4

      Publish

      A /reports page with email signup.

      Founding Engineer 1 day

    5. 5

      Distribute

      Social posts and newsletter pitches.

      Founder/CEO 1 week

    6. 6

      Repeat

      Monthly.

      Founder/CEO monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Founder/CEO

    Smallest test

    Post one chart of top failure types on X and LinkedIn.

    Why it works

    Each month, publish aggregated, anonymised findings: top failure types by domain, median time to fix, which problems humans solve fastest, and trends. Share charts on X and LinkedIn, offer the report by email (building the newsletter Humwork doesn't have), and pitch the findings to developer newsletters.

    Original data earns links, press and trust in a new category, and positions Humwork as the authority on human escalation. Each report also reminds readers when to call an expert.

    Risks and how to handle them

    • Data reveals customer details

      Aggregate only, minimum group sizes, no code.

    Evidence

    • PressTestingCatalog (sponsored, April 15, 2026): at launch Humwork cited 1,000+ experts, an 87% resolution rate in beta, first responses under two minutes and 2,858 questions resolved before public launch; it contrasts Humwork with freelance marketplaces such as Upwork and Fiverr, where humans hire humans.Source
    • ResearchChannels: the site links only X and LinkedIn; no YouTube channel, newsletter, blog or public status page; no Hacker News mentions found.Source
  • 21

    The homepage promises matches in under 30 seconds, every domain and every time zone, but there's nothing live to back that up, and no public status page. For a real-time service, a builder's first doubt is whether anyone will actually be there at 2am in their domain.

    Medium impactMedium effort First result in 1 month Founding Engineer

    First action

    Expose an aggregate count of online experts per domain from the matching engine.

    How to measure it

    Homepage signup rate

    Now
    –
    Target
    +10%
    By
    60 days

    Steps

    1. 1

      Expose counts

      Aggregate online experts per domain.

      Founding Engineer 3 days

    2. 2

      Build the widget

      Online now, match time, resolved today.

      Founding Engineer 1 week

    3. 3

      Set floors

      Hide domains below a minimum.

      Founder/CTO 1 day

    4. 4

      Status page

      Public uptime for matching.

      Founding Engineer 2 days

    5. 5

      Add to dashboard

      Before credit purchase.

      Founding Engineer 2 days

    6. 6

      Test

      A/B against the static stats row.

      Founder/CEO 3 weeks

    First result
    1 month
    Cost
    Engineering time
    Owner
    Founding Engineer

    Smallest test

    Show 'median match time, last hour' on the homepage for two weeks.

    Build the monitor. A live page fed by the public registries and re-checked every day. Usually live within days.

    Book a working session

    Why it works

    Add a small live widget to the homepage and domain pages: experts online now per domain, median match time in the last hour, and consultations resolved today. Add a public status page for the matching service. Show the same numbers in the dashboard before a user buys credits.

    Live numbers turn a claim into evidence and make the marketplace feel busy. They also hold the team to the 30-second promise in public.

    Risks and how to handle them

    • Low numbers at quiet hours

      Show median match time, which stays low, rather than raw counts when supply is thin.

    Builds on

    Evidence

    • Your websiteHomepage (read November 10, 2026): headline "On demand Human Experts for AI Agents."; experts matched "in under 30 seconds"; "Plug & Play Integration" through "One MCP server, API call, or plugin" in "60 seconds", but the page shows no install command, config snippet or documentation link; every Get Started button goes to the app signup; domains listed are software engineering, product and business strategy, marketing and copy, design and UX, plus finance, research, operations, HR and compliance.Source
    • ResearchChannels: the site links only X and LinkedIn; no YouTube channel, newsletter, blog or public status page; no Hacker News mentions found.Source
    • Your websiteHomepage proof: a stats row of "<2 min" average first reply, "83%" resolution rate and "3,000+" verified experts, with no date or method; the Software Engineering card shows "130% Net retention" with no period, cohort or source; no testimonials, case studies or customer video.Source
  • 22

    Real visitors already pass Core Web Vitals (LCP 1.41 s, INP 49 ms, CLS 0), so this is not urgent. But the homepage weighs 2.2 MB, 1.68 MB of it images, with about 990 KB that PageSpeed says could be saved, field LCP is trending about 10% slower, and the page has no social share image. Every link shared on X or LinkedIn, the only two channels Humwork uses, shows up without a preview.

    Low impactLow effort First result in 1 week Founding Engineer

    First action

    Add an Open Graph image and test the preview on X and LinkedIn.

    How to measure it

    Social link click-through

    Now
    –
    Target
    +20%
    By
    30 days

    Steps

    1. 1

      Make the share image

      Agent-to-expert handoff, 1200x630.

      Founder/CEO 2 hours

    2. 2

      Add the tags

      Open Graph and X card tags.

      Founding Engineer 1 hour

    3. 3

      Compress images

      Modern formats and correct sizes.

      Founding Engineer 2 hours

    4. 4

      Lazy-load

      Images below the fold.

      Founding Engineer 1 hour

    5. 5

      Fix render-blocking

      Inline critical CSS.

      Founding Engineer 2 hours

    6. 6

      Retest

      PageSpeed and preview checks.

      Founding Engineer 1 hour

    First result
    1 week
    Cost
    $0
    Owner
    Founding Engineer

    Smallest test

    Add the share image today and compare clicks on the next five posts.

    Why it works

    Serve the mockup and logo images in modern formats at the right sizes, lazy-load below-the-fold images, and inline critical CSS to clear the render-blocking request. Add an Open Graph image showing the agent-to-expert handoff, plus a title and description, and check previews on X and LinkedIn.

    A preview card lifts click-through on every social share, and a lighter page keeps the fast experience as content grows.

    Risks and how to handle them

    • Compressed mockups look blurry

      Check on high-density screens before shipping.

    Evidence

    • PageSpeedMobile performance 96, desktop 100; real visitors pass Core Web Vitals (LCP p75 1.41 s, INP 49 ms, CLS 0), though field LCP is trending about 10% slower; the homepage weighs 2.2 MB, 1.68 MB of it images, with about 990 KB saveable; no social share image.Source
    • ResearchChannels: the site links only X and LinkedIn; no YouTube channel, newsletter, blog or public status page; no Hacker News mentions found.Source

03

How Programmable can help

Where an idea in this playbook is something Programmable builds or runs, it's listed here with what we'd do. Everything else is yours to run.

Have it built

ProgrammableAgency

1 of the 22 ideas are things Programmable builds and runs for its customers: pages, outreach, prospect lists, booking flows and monitors. Pick one, or send the whole list.

Monitors1A live page fed by the public registries and re-checked every day.

A 30-minute session with the engineer who would build it, not a sales call. You leave with a plan whether or not you hire us.

Book a working session

Usually live within days.

More example playbooks and reviews
ProgrammableDigital

Show Humwork’s product working

Turn screenshots or the website into an animated product demo in its own brand, for the homepage, launch posts and outreach in this playbook.

Make a demo (opens programmable.digital in a new tab)

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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on November 10, 2026, and cites them throughout. Humwork did not commission, review or endorse it, and Programmable is not affiliated with Humwork. Company and product names are trademarks of their owners, used only to identify them. The ideas are suggestions and opinion, not professional, legal or financial advice, and not statements about how Humwork runs its business.

Something wrong, or do you represent Humwork? Email [email protected] and we will correct it or take it down.

30/60/90 roadmap

What to focus on in each month, and the ideas that carry it.

  1. Days 1 to 308 ideas

    Make Humwork installable and priceable: install block, registry listings, pricing page, a working enterprise booking path, dated stats, expert pay, agent-readable docs and a lighter homepage.

  2. Days 31 to 6011 ideas

    Activation and retention: a free first consultation, escalation tuning, connector directories, session summaries, sign-in renewal, domain pages, rescue videos, self-serve teams, rare-domain experts, the stuck-agents report and live availability.

  3. Days 61 to 903 ideas

    Commit to the big bets: a verified answers library, a human sign-off tier and an embedded escalation API for agent companies.

The research behind the plan

3 research areas, each summarised in a few lines. Open any of them for the full detail.

Customers

What customers say

Customers value getting an agent unstuck without leaving the workflow. The most cited problem: agents looping on the same bug.

  • A real expert in under 30 seconds, around the clock
  • Output that looks right but is subtly wrong
  • In their words: “agent gets stuck”

Market

Competitive landscape

4 competitors compared: Tendem by Toloka, Pearl, gotoHuman and Freelance marketplaces (Upwork, Fiverr).

  • Gap to exploit: Real-time, in-loop human help priced per consultation
  • Tendem by Toloka: Turnaround in hours, not seconds
  • Pearl: Consumer-advice roots; API keys by email

Hiring signals

Humwork is a two-person team hiring its first engineer, and the role shows where the company is going.

  • Founding Engineer (San Francisco): Matching, escalation layer, expert app, billing and ratings. Ideas 9, 12, 16, 17, 19.

From the team that wrote this playbook

All products
  • ProgrammableAgencyWorking AI systems in days, not quarters (opens programmable.agency in a new tab)
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  • ProgrammableDigitalScreenshots in, an animated product demo out (opens programmable.digital in a new tab)
  • ProgrammableWatchKnow the day a supplier falls out of compliance (opens programmable.watch in a new tab)
  • ProgrammableTalkGet registrants for your events, and know who’s coming (opens programmable.talk in a new tab)
  • ProgrammablePageText what you need, your customer gets a page that works (opens programmable.page in a new tab)
  • ProgrammableCommunityForums with labelled AI members, never empty (opens programmable.community in a new tab)
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