A prototype that demoed well
- Broke the moment real users arrived
- Around 70% accurate on real inputs
- Failures took hours to debug
Ship one real
AI System
in 6 weeks
For builders, vibe coders, and teams who can prototype with AI but need system judgment before shipping.
Before / After
From a demo that breaks to a system that ships
One real workflow, one cohort, six weeks.
A system that ships with confidence
- Holds up under real production load
- 90% accuracy in production
- Failures caught by evals in minutes
90% Production accuracy up from 70%
100% Confidence gain in one cohort
6 wks Prototype to production start to ship
70% → 90% production accuracy, in under 6 weeks.
You leave with the same artifacts: a workflow map, tool contracts, an eval plan, and a launch roadmap.
Inside The Academy
6 weeks. One real workflow.
Scope the idea
Pick one workflow worth making real.
- Workflow canvas
- Prototype scope
- Success criteria
Map the system
Users, data, decisions, handoffs.
- System diagram
- Risk map
- Data boundaries
Define contracts
Tools, schemas, roles, permissions.
- Tool schema
- Interface rules
- Control points
Test failure
Evals, guardrails, recovery paths.
- Eval set
- Failure rubric
- Guardrail plan
Operate the workflow
Cost, latency, logging, iteration.
- Ops checklist
- Metrics plan
- Review cadence
Launch the plan
Final critique and next build path.
- Launch brief
- Stakeholder readout
- Next-build plan
Cohort 01 Stories
Hear from our Learners
Two builders on the mindset shift from watching AI move fast to designing and shipping systems themselves.
I can find where my mistakes are
Shilpa Balaji Cohort 01 · Debugging confidence
From consuming docs to shipping early and iterating fast
Sahithi Koppula Cohort 01 · Shipping mindset
Fit Check
Not sure if this is right for you?
Take the fit check and get a course path by email.
Next Step