K'AI Phase 2: AI Menu Hub & Costing Dev Log

(Gemini 2.5 PRO API)

🗓️ May 28, 2026 : [UPDATE] Enterprise Math Stabilization & Dynamic Pricing Engine

Overview: Upgraded the core engine to Google Gemini 2.5 Pro. We executed a strategic pivot to temporarily disable aesthetic features (image generation) in order to achieve 100% mathematical integrity in our Costing Matrix and margin protection protocols.

• Dynamic Target Pricing Algorithm: Removed AI hallucination from menu pricing. The K'AI OS now utilizes a strict algorithmic formula (Math.ceil(Total Food Cost / 0.25)) to automatically calculate and dictate the required Selling Price, guaranteeing a 25% Target Food Cost for every single generated recipe.

• Micro-Unit Math & Bulk Standardization: Resolved critical unit mismatch errors where the LLM conflated "pieces" with "grams" (e.g., inflating garnish costs). Implemented a strict "Bulk Weight Only" mandate. All produce and minor ingredients are now strictly anchored to 1 lb (454g) or precise estimated gram-weight baseline inputs, enabling flawless micro-costing down to the fractional cent.

• Strategic Feature Pruning: To maximize computational resources and system stability for our B2B culinary clients, we have completely decoupled and paused the visual generation pipeline. All system bandwidth is now dedicated entirely to the determinism of the financial matrix and standard operating procedures (SOPs).

🗓️ May 24, 2026 : [NEW FEATURE] AI Menu Engineering & Precision Costing Engine

Overview: Successfully mitigated LLM price hallucinations and unit math errors. Transformed the generative AI from a creative recipe writer into a deterministic, enterprise-grade financial tool for fine-dining operations.

• Deterministic Wholesale Anchoring: Eliminated severe AI price hallucinations (which previously caused Food Cost spikes up to 980%). Implemented a strict pricing anchor based on real-world retail pricing with an automated 20% B2B wholesale discount applied. Added critical margin-protection logic (e.g., a strict 0% discount rule on premium seafood) to accurately reflect live vendor dynamics.

• Strict A-La-Carte Portion Scaling: Overrode the LLM's inherent bias toward family-style or "batch" recipes. Enforced rigid, single-portion constraints (e.g., strictly 80-100g of pasta per serving) to guarantee accurate, per-plate food cost (FC%) and yield calculations standardized for luxury hospitality.

• Unit Normalization & Bulk Math Fix: Resolved "Component vs. Aggregate" math errors where the LLM conflated the price of a bulk item (e.g., a whole garlic bulb) with a micro-unit (e.g., a single clove). The engine now automatically normalizes all minor ingredients into bulk weight equivalents (price per gram/oz), delivering flawless, micro-precision costing.