Ship AI Products That Survive Production: The ABP Playbook
by Avanish patidar
$29
Introduction
Your demo works. Then a real user arrives. It invents an answer, a retry loop burns a week of budget overnight, and the one person ready to pay leaves without saying why.
Those are not model problems. They are system problems. This playbook is the system: pick the problem, build with agents and human approval, measure honestly, harden for production, launch small.
Who is this for?
- Builders with an AI idea or a working demo who want a real product.
- Developers and founders in any field. The examples move between clinics, accounting firms, online stores, education and legal work.
- You should be comfortable building software. You do not need to be an ML researcher.
What's inside
- ✅ A 42-page illustrated guide, 8 chapters
- ✅ 21 copy-ready files: 6 prompts, 1 interview script, 14 templates
- ✅ 95 checks across 7 chapter checklists and a 20-item pre-ship gate
- ✅ A 30-day build plan, one job per day
- ✅ 11 diagrams and 8 illustrations
The chapters:
1. Start here: Study, Practise, Ship. Take apart a product someone else built in 30 minutes. Seven small reps for the seven skills.
2. Problem Selection. The one-sentence test, a five-signal score, a 7-day validation sprint, and a kill memo you sign before you start.
3. Multi-Agent Pipeline with Human Approval. Four roles, handoff contracts, and the three places a person must say yes.
4. Voice AI That Survives Real Calls. The short version: latency, interruptions, silence.
5. Evals and LLM-as-Judge. A golden set, a rubric, a judge you have checked against a person, and what blocks a release.
6. Production Hardening. Timeouts, fallbacks, cost caps, a kill switch, and a rollback you have practised.
7. Launch and Growth. The 5-second page test, launch week day by day, the first ten users by hand, how to think about price.
8. Ship in the Open. What to share, what to keep, and a weekly log you can keep up on a bad week.
The toolkit files: planner, builder, reviewer, tester, pre-approval review and judge prompts; the problem interview script; product teardown, one-sentence test, problem brief, kill memo, handoff contract, call script skeleton, golden case, release blockers, failure messages, kill switch spec, incident runbook, landing page skeleton, first-user notes and weekly build log templates.
Includes: 4 files, PDF and ZIP.
What it will not do
It does not guarantee income, users or a successful launch. No book can. It makes failure cheap and early, and you still have to do the work and talk to buyers.
Final notes
If it helps, a rating takes ten seconds and is how other builders find it. If something is wrong or unclear, write to me through avanishpatidar.in and I will fix it.
I am Avanish Patidar, an AI product engineer from Indore. CTO of HiringAnt, Agentic AI Lead at RentPrompts.