Haley Kurtz

Willow Intelligence - Stabilize AI agents & reduce token costs by 82%

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AI apps work in demos, then production hits with drift, hallucinations, ignored instructions, and insane token costs. Willow is a runtime governance layer that sits between your app and LLM. By enforcing constraints at inference, Willow automatically steers conversations in real-time, so you don’t have to babysit outputs. Swap one line of code and get 82% fewer tokens, 75% faster multi-turn responses, and zero drift. Works with any model. No backend adjustments or added memory. Patent pending.

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Haley Kurtz
Maker
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Hi Product Hunt! 👋 I'm Haley, solo founder & architect of Willow. I kept watching AI apps fall apart in long conversations or during complex tasks. You spend months building something. It works perfectly in demos. Then production hits bringing drift, hallucinations, ignored instructions, and insane token costs. I spent 6 months reverse engineering why: AI drift isn't a memory problem. It's a control problem. Willow is the SSL for AI. It is currently the ONLY inference-time governance layer as infrastructure live in production that works without other tools, backend retraining, or added memory. This is not an app, RAG, or more guardrails. This is infrastructure for any stack or model with frictionless integration for reliable, stable AI. Would love your feedback, especially from anyone building agents or customer support tools! That's where Willow shines most. 🌿 -Haley
Haley Kurtz
Let’s talk continuity! ♾️ The concept of Willow was born after I noticed cross session continuity in my personal ChatGPT use. I reverse engineered what I was seeing, why it was happening, and built every aspect into Willow. HOWEVER… There are currently ZERO industry standards for measuring & benchmarking continuity. Has anyone else working in this area attempted to measure continuity across sessions for one user? Or an entire platform? Let’s chat!