A practical open-source guide for FDEs, AI engineers, product teams, and operators building production AI systems. Start with real workflows and measurable value, choose the smallest sufficient mix of rules, ML, models, agents, and human review, then ship with secure tool contracts, evaluations, release gates, observability, and operating playbooks. Includes templates, blueprints, controls, and executable examples.
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Maker
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Hey Product Hunt! I made The FDE and AI Engineer Guide for the work that happens after “we should build an agent.”
It is an open-source, practical kit for turning real workflows into safe, measurable AI systems: value cases, intelligence selection, tool contracts, evaluations, release gates, operating playbooks, and runnable examples.
The central idea: an agent is a mechanism, not the product. The product is a workflow outcome someone can verify, operate, and improve.
I’d love feedback on what’s missing most in your path from AI prototype to production.