Cut Your AI Agent Prompt Size by 75% Using a Fast Decision Model (Jev / decision-1)

Description and use

<h2> How to split a bloated AI agent prompt into modular skills and use a fast Decision Model to route only the instructions and tools each user question actually needs. </h2> <p>When you build an AI assistant for a web application — say, an <strong>Online Travel & Flight Booking Assistant</strong> — it always starts simple. You write a short system prompt and attach one or two tools, like <code>search_bookings</code> and <code>cancel_booking</code>.</p> <p>Fast-forward a few months. Your assistant now supports searching flights, switching UI tabs, applying multi-field filters, downloading

Problem

<h2> How to split a bloated AI agent prompt into modular skills and use a fast Decision Model to route only the instructions and tools each user question actually needs. </h2> <p>When you build an AI assistant for a web application — say, an <strong>Online Travel & Flight Booking Assistant</strong> — it always starts simple. You write a short system prompt and attach one or two tools, like <code>search_bookings</code> and <code>cancel_booking</code>.</p> <p>Fast-forward a few months. Your assistant now supports searching flights, switching UI tabs, applying multi-field filters, downloading

Outcome

<h2> How to split a bloated AI agent prompt into modular skills and use a fast Decision Model to route only the instructions and tools each user question actually needs. </h2> <p>When you build an AI assistant for a web application — say, an <strong>Online Travel & Flight Booking Assistant</strong> — it always starts simple. You write a short system prompt and attach one or two tools, like <code>search_bookings</code> and <code>cancel_booking</code>.</p> <p>Fast-forward a few months. Your assistant now supports searching flights, switching UI tabs, applying multi-field filters, downloading

Evidence

Cut Your AI Agent Prompt Size by 75% Using a Fast Decision Model (Jev / decision-1)

Source