GTM Engineering: Build AI Workflows That Drive Revenue
Haroon Choudery
Founder @ AI Ready
Yusuf Ahmed
Founder @ Zevenue
Build a GTM system your team can run, check and improve
Leave with one running GTM system on your own ICP: scored against an answer key, costed per run, and documented so your team can run it without you. Nothing sends itself. You build the approval gate that makes that true.
In five weeks with AI Ready and Zevenue, build in Claude Code, wire a public data source, qualify and research accounts, write approved results to a CRM sandbox, evaluate decisions and deploy a cloud routine. Use the cheapest approach that passes your checks, with a source behind every account and a human approving the next action.
You will work on your own market, not a generic demo. Compare research methods on the same accounts, test whether your signal beats a random sample, and grade your system against 20 cases you label by hand. Finish with a runbook, a manager brief and a working handoff.
Nov 9–Dec 10, 2026, plus a setup clinic the week before. Plan for about 6 hours a week, including live builds, office hours and independent work.
What you’ll learn
Build, evaluate and hand off a GTM system on your own market, with source checks, a cost per run and human approval before action.
Turn your market’s pain into a signal card, with a public trace, a rule, a kill condition and a named owner.
Write a source adapter with Claude, prove it with a count test and qualify accounts against your ICP with reasons and source URLs.
Leave with a signal card, working adapter, CLAUDE.md and a qualified list for your market.
Compare subagents, a research API and built-in search on the same accounts, with cost and time for each.
Check that each URL resolves and the quoted sentence is on the page; test your signal against a random market sample.
Read and dedupe CRM records, dry-run a write, approve 10 accounts and prove the second run writes zero.
Read a run folder to find where an agent pipeline fails without an error, and keep a fix log for your own system.
Build a cost ledger for both research paths and label your first 10 test cases by hand.
Watch three participant systems reviewed live. If travelling Thanksgiving week, submit your run for a recorded review.
Draft a next action into the CRM for human review. Grade it against 20 cases you label by hand, using a rubric you own.
Compare your answer key, a frontier-model grader and a decision model’s typed answer and probability. Examine disagreements.
Complete three scored runs, show a rule change before and after, and submit your capstone for a 20-minute 1:1 review with Yusuf.
Deploy a cloud routine with an API trigger, deny rules, a fail-closed hook and read-only connections. Keep sends behind approval.
Track counts, cost, provenance pass rate and a canary to tell whether the system is still working.
Hand off an unattended run, a runbook and a one-page manager brief. Show the working system on demo day.
Learn directly from Haroon & Yusuf
Haroon Choudery
Founder @ AI Ready. Writer, Not A Bot. Ex: Autoblocks, AI For Anyone
Yusuf Ahmed
Founder @ Zevenue, building AI workflows for GTM teams
Who this course is for
RevOps and sales operations professionals who want to automate research, enrichment, and CRM work for their team.
Growth and marketing operators who want to run more relevant GTM plays with less repetitive research and data work.
Engineers and technical operators who want to apply their building skills to revenue workflows inside their company.
What's included
Live sessions
Learn directly from Haroon Choudery & Yusuf Ahmed in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Live builds, clinics and office hours
Tuesdays, 12–2 PM ET, with Yusuf (recorded). Nov 24 is a 90-minute clinic, 12–1:30 PM ET. Office hours: Thursdays, 12–1 PM ET, on Nov 12, Nov 19 and Dec 3. No Nov 26 office hour. Demo day: Dec 10, 12–1:30 PM ET. Plus a setup clinic the week before and about 3 hours of independent building each week.
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Course syllabus
9 live sessions • 5 lessons
Live sessions
3 hrs / week
Tuesdays, 12–2 PM Eastern, plus Thursday office hours, 12–1 PM. Nov 24: 12–1:30 PM; no Nov 26 office hour. Dec 10 demo day: 12–1:30 PM instead of office hours. All times Eastern; live builds are recorded. Capstone: one 20-minute 1:1 with Yusuf, Dec 3–7, booked individually after submission.
Build on your own market
3 hrs / week
About 3 hours each week applying the builds to your own ICP: research and qualify accounts, check evidence, test your system, complete projects and prepare your capstone and handoff pack.
Week 1
Module 1 · Find: design your signal, wire your source, qualify every account
Nov
10
Build session 1: scored baseline, then design your signal and wire your source
Nov
12
Office hour: adapter and signal-card help
Week 2
Module 2 · Research agents: compare three paths and prove your signal
Nov
17
Build session 2: research three ways, prove your signal, write through the gate
Nov
19
Office hour: research paths, provenance and your first write
Frequently asked questions
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