Sammy.

The problem

Cooking from an online recipe is a fight against the medium. Home cooks scroll past 2,000 words of narrative and ad banners to find the ingredient list, then "pogo-stick" — scrolling up to check amounts and back down to instructions — while the screen dims mid-sauté and messy hands make tapping a hazard.

The result is high cognitive load, buried information density, and physical friction in a high-heat, high-moisture environment. Legacy platforms like AllRecipes and Food Network own discovery but fail execution; recipe managers like Paprika and Mela store static text without semantic execution; and generic AI kitchen assistants hallucinate recipes outright — a hallucinated oven temperature can ruin a dish or start a fire.

The solution

Sammy is an intelligent cooking engine that refactors messy blog recipes into a clean, kitchen-friendly workflow. It extracts recipe details, implied equipment, and chef's tips, and injects ingredient quantities inline into the instruction steps so cooks never have to scroll back to the ingredient list.

Sammy is integrity-first: it is the Translator, not the Aggregator, tuned for zero-loss extraction that stays true to the user's chosen recipe rather than inventing a new one. Output renders as high-contrast, landscape-optimized cook-mode cards grouped by recipe component. The business model is a freemium micro-SaaS with a deliberately low-friction price point, positioned as an impulse utility.

How it works

The ingestion pipeline pairs deterministic parsing with LLM reasoning. Firecrawl scrapes and strips website HTML and ads, delivering clean Markdown that reduces token noise before the model sees it; a raw copy-paste fallback bypasses paywalls and firewalls. The target production model is GPT-4o-mini with strict JSON mode, chosen for cost (~97% cheaper than GPT-4o), sub-second latency, and deterministic structure.

A master prompt with nine behavioral rules enforces zero hallucination on ingredients and metrics, ≥90% tool-inference accuracy, inline measurement refactoring, a culinary density matrix for volume-to-weight conversion, and verbatim chef's-tip extraction that discards blogger fluff. A Screen 3 human-in-the-loop Verification Canvas lets cooks catch any parsing anomaly. Evaluation uses a 15–25 recipe golden set with a hand-built ground-truth JSON target per case; early tests hit 100% on fraction-format and verbatim-tip preservation, with an 85% target for isolating paragraph-buried warnings.

Who it's for

Sammy targets the Everyday Home Cook — the millions of people who execute digital recipes on mobile devices and suffer the physical-digital disconnect. They value kitchen efficiency, waste reduction, and a focused, ad-free experience.

The business is B2C moving to B2B2C. Initial focus is direct-to-consumer utility; a future "Send to Sammy" execution API would let food bloggers keep their discovery-phase SEO and ad revenue while Sammy handles the execution phase — turning potential competitors into a distribution channel, akin to Pinterest's Pin button.

Why it matters

The recipe app market is projected to grow at roughly 10.5–12% CAGR through 2030, and ad-fatigue with bloated recipe blogs creates a clear opening for clean execution utilities. By breaking recipes into atomic units — tools, temperatures, timings, quantities — Sammy owns structured data that enables future capabilities competitors can't match, from nutritional scaling to smart-appliance control.

The near-term plan is a tightly controlled 4-week closed beta with 10 friends-and-family cooks, run through weekly evaluative gates on ingestion fidelity, tool-inference utility, and ergonomic adherence. Production scales through gated volume expansion — 100 users, then 1,000 — with a migration off the Lovable prototype to an independent stack and LangSmith telemetry. Trust is the brand: in the kitchen, Sammy is the reliable sous chef, not the experimental poet.

At a glance

Project

Sammy

Built by

Samantha Park

One-liner

Sammy is an intelligent cooking engine that converts messy online recipe content into a clean, kitchen-friendly cooking workflow.