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A Practical Guide to Multi-Model AI Workflows
How-ToMachine Learning

A Practical Guide to Multi-Model AI Workflows

via Dev.toSalvatore Attaguile13h ago

By: Salvatore Attaguile ⚡️ Implementation Time: 10–15 minutes 📋 Required Tools: TXT file + 2+ LLMs + Anchor Template 🎯 Skill Level: Intermediate Anchor Files, Role Routing, and Coherent Iteration ⸻ Abstract Most AI workflows fail due to context drift, voice collapse, and fragmented intent. This guide outlines a simple, repeatable system for using multiple language models together through a shared anchor file, role-based routing, and human integration. The goal is not “perfect output,” but coherent, stable, and reproducible work. ⸻ GETTING STARTED: THE ANCHOR TEMPLATE This workflow depends on a structured anchor file. An anchor template is provided as an image file (upload it to start any project). The template includes: • Project Title & Version • Primary Goal • Secondary Aims • Success Criteria • Constraints (Scope, Ethics, Time, Risk) • Voice/Tone (Style, Avoid, References) • Author Samples • Core Assumptions • Non-Negotiables • Open Questions • Revision Log To use the template: Uplo

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