ENGINE FRAMEWORK

Reliable AI Blueprint

$129

Reference build + the essay that explains it

The architecture for AI products that don't improvise facts: the AI handles the words, deterministic systems handle the numbers and lookups, and every answer shows its source. The evidence: routing math to code lifts accuracy from 23% to 72% (ICML 2023), and the gap to 100% is exactly why verification stays in the design. Fewer errors, traceable answers, a checking step that never comes off.

• AI writes, code calculates: the single highest-leverage reliability decision
• Every factual answer carries its source or its computation, visibly
• Grounding reduces but never eliminates error, so the design assumes a checking step
• One orchestrator over many independent agents: error amplification is real and measured
• Built for founders shipping AI products that customers will quote back at them

WHAT YOU'LL NEED

Xcode for the referenceThe pattern fits any stack

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