Turn an expert bottleneck into a self-serve product
A deterministic engine gets the numbers right, an AI varies the plan, and the expert reviews before it reaches the customer.
Precision Physiques runs this today
A Mifflin-St Jeor macro engine computes each client's numbers deterministically. Gemini varies the five-day meal plan around those numbers. The coach reviews and approves every plan before the client sees it, delivered as a branded PDF.
Half an hour to see what an exacting fit looks like for your business.
Start a conversationFour parts, one guarantee: the numbers are never left to the model
- EngineDeterministic core
The maths that must be right — every time — runs in ordinary code, not a model call.
- VariationAI-generated plan
The model varies the output within that guaranteed frame, with a deterministic fallback if it fails.
- Sign-offExpert approves
The qualified person reviews before the customer ever sees it — always in the loop.
- DeliveryAsync + branded PDF
Generation runs as a background job, not a spinner, and lands as a document the customer keeps.
Any expert bottleneck with a computable core fits this pattern
Risk-profile intake → deterministic allocation model → adviser-reviewed recommendation, instead of a manual spreadsheet per client.
Job inputs → a rules engine sizes and prices the spec, an expert signs off before it goes to the customer.
Anywhere a qualified person currently hand-builds a personalised output, this pattern turns it into software with the person still on the sign-off.
Does the AI just make things up?
No. A deterministic engine computes the numbers that matter (the ones that must be right every time); the AI only varies presentation within that guaranteed frame, and it has a deterministic fallback if it fails.
Where does the expert fit in?
In the loop, not replaced. The system drafts; the qualified person reviews and approves before the customer sees it — the pattern proven at Precision Physiques.
What if generation is slow?
It runs as an async job — the customer isn't stuck on a spinner waiting on a model call. This replaced a ~58-second synchronous wait in the live build.
Half an hour to see what an exacting fit looks like for your business.
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