01 / READINESS
System map
Users, entities, relationships, states, dependencies, and the rules that must remain true.
Live AI app readiness clinic · Founding cohort · 8 seats
Your AI-built app works. Is it ready for real users?
Bring a working web app. Leave with an evidence-backed readiness map, your three highest-risk fixes, one safeguard you have verified, and a 30-day hardening plan your coding agent can execute.
$499 · 30 July + 6 August · 19:00–21:00 CEST · application takes 3 minutes
Preflight / app_001assessment open
Happy pathWorking
PermissionsUnknown
Data integrityUnknown
Failure recoveryUnknown
Launch evidenceMissing
Target state
A responsible launch decision, grounded in evidence.
The awkward middle
The happy path is the easy part.
AI can build screens and features astonishingly fast. Real users bring permissions, data, payments, migrations, deletion, failed deployments, and abuse. When the rules stay implicit, your coding agent has to guess. Each new prompt adds another chance for the app to drift.
Can one user see another user’s data?
Which rules must always remain true?
What survives a failed migration?
How will you detect failure and recover?
The artifact
One file that gives you—and your agent—rails.
You build
APP_READINESS.md inside your repository. It records
what the app is, what can go wrong, and what must be true before you ship.
02 / READINESS
Access map
Roles, permissions, admin powers, sensitive data, secrets, files, and trust boundaries.
03 / READINESS
Readiness map
A red / yellow / green assessment grounded in your code, configuration, and observed behavior.
04 / READINESS
Top three risks
A ranked shortlist based on likelihood and impact, instead of a generic hundred-item checklist.
05 / READINESS
Verified safeguard
One small, high-priority check or safeguard that you implement and verify between sessions.
06 / READINESS
Agent-ready plan
A Now / Next / Later backlog, clear agent briefs, and explicit ship / no-ship conditions.
How it works
Two sessions. One app. One decision-ready plan.
00Before
Show me the app
45–60 minutes
A short walkthrough and intake make the app, users, stack, launch state, and biggest concern explicit.
0130 July
Know what you built
19:00–21:00 CEST
Map the system, data model, permissions, invariants, dependencies, and highest-impact risks.
02Between
Create evidence
60–90 minutes
Run the repo-grounded prompts, verify every claim, and implement one small safeguard on a branch or staging.
03Personal
App triage with Lukas
30 minutes
Clarify the top risks, unblock one decision, and pressure-test the safeguard you plan to implement.
046 August
Prove what can survive
19:00–21:00 CEST
Cover failure paths, tests, migrations, logs, backups, deployment, rollback, and responsible launch conditions.
SAFE WORKING RULES · Synthetic or demo data only. Production credentials, secrets, API keys, and live customer
data stay out of the clinic. Private hot seats stay private unless you opt in.
Good fit
The demo works. Responsibility is arriving.
- ✓You have a working or deployed web app built with Lovable, Replit, Bolt, v0, Cursor, Claude Code, Codex, or similar tools.
- ✓You can access the repository, run the app, and deploy it yourself.
- ✓Real users, team accounts, payments, permissions, or meaningful data are arriving within 30–60 days.
- ✓You can attend both sessions and spend 60–90 minutes on the between-session work.
Outside this cohort
Some apps deserve a different kind of review.
- ×Idea-stage projects without a working app
- ×Native mobile apps and hardware products
- ×Medical, financial, children-focused, critical-infrastructure, or other regulated / high-stakes applications
- ×Penetration tests, compliance certification, emergency debugging, or live feature implementation
Why me
I have lived on both sides of the prompt.
I spent the last few years building production software. I helped take a regulated B2B product from zero to more than €1.5m in revenue, then rebuilt and shipped large parts of it with AI as the solo developer.
The recurring lesson: AI makes features cheap. Real users make structure, permissions, tests, backups, and recovery expensive again.
Cortex Futura used to teach people how to turn messy knowledge into usable systems. Its next chapter applies the same instinct to software built with AI.
Founding cohort
Eight apps. Close contact. The lowest planned price.
Your app shapes the live examples. You get a personal triage and direct feedback. I get evidence about where AI-first builders need the most help before turning this into a repeatable offer.
Founding price
$499
- ✓ Two live two-hour sessions
- ✓ One 30-minute personal app triage
- ✓ Repo-ready
APP_READINESS.md - ✓ Repo-grounded prompts and guided exercises
- ✓ Teaching replay for participants
Apply by 24 July. The cohort runs with five paid seats; a missed floor triggers a full refund.
Questions / boundaries
Clear scope creates useful work.
Will this make my app production-ready?+
The clinic gives you production judgment and concrete evidence: a readiness map, your three highest risks, one verified improvement, and clear launch conditions. Four workshop hours cannot certify an arbitrary app as secure, compliant, scalable, or bug-free.
Which stacks and AI tools are welcome?+
Any web stack works when you can access the code, run the app, and deploy it. The method applies whether you built with Lovable, Replit, Bolt, v0, Cursor, Claude Code, Codex, ChatGPT, or a mix of tools.
Do you need access to my production systems?+
Your production credentials, secrets, API keys, customer data, and database access stay with you. We work from a walkthrough, synthetic or demo data, your own repository inspection, and evidence you can safely share.
Who implements the safeguard?+
You implement it with your coding tools between sessions. I help you choose the right target, improve the brief, and verify the evidence. Deeper implementation work can become a separately scoped engagement.
What happens if fewer than five people join?+
The cohort runs with five paid seats. If the floor is missed by 24 July, LemonSqueezy issues a full refund and the cohort does not run.
Are the sessions recorded?+
Teaching sections may be recorded for participant replay. Private app hot seats pause the recording unless the participant explicitly opts in.
Apply · 8 seats maximum
Tell me what you built—and what keeps you up at night.
I review every application personally. Qualified apps receive a private LemonSqueezy payment link. Your seat is confirmed when payment clears.