Most teams get AI wrong: they refuse to use it and watch competitors move faster, or they paste a solicitation in and trust whatever comes back. Both end the same way: bad proposals. There's a third way. Professional-in-the-Loop (PITL™). AI drafts. Humans decide. These ten are production-ready, not toys. They're a starter set from the MixonMgmt.ai library of 49+ prompts covering the full BD-to-submit lifecycle.

AI‑Assisted Federal Proposal Development teaches you how to use AI the right way in federal proposals: as a disciplined analyst that improves compliance, traceability, and evaluator readiness, not as an autopilot writer. You’ll learn the core mental model (L–M–PWS as one system), complete Phase 1 solicitation control, and walk away with a working prompt you can use on your next pursuit.

This free starter guide introduces a disciplined, evaluator‑focused approach to federal technical writing using AI as a structural aid—not a drafting shortcut. It explains why strong proposals fail when written for readers instead of evaluators and walks through Phase 1 of volume development: evaluation‑weighted volume architecture, PWS‑to‑Section M traceability, and evidence planning. Includes one working prompt and a preview of the full six‑phase methodology.

A Simple Framework for GovCon Teams

A Practitioner Course for Winning Government Contracts

Learn to architect, draft, and evaluate federal technical volumes using AI as a bounded structure and review tool. Through six phases and the PHAEDRA capstone scenario — a $28M cybersecurity advisory services procurement — you will build evaluation-weighted volume architectures, develop Strength-ready narratives tied to Section M criteria, manage multi-author consistency, and run structured Gold Team reviews. You will finish with a complete technical volume draft package ready for submission.

AI‑Assisted Federal Proposal Development (Advanced Practitioner) is a hands‑on course for experienced proposal teams, focused on building repeatable, scalable wins. Using a realistic solicitation bundle, annotated evaluator examples, and a 47‑prompt library, you complete 8 modules and 14 labs covering multi‑volume coordination, differentiation, pricing narrative alignment, prompt governance, and AI output auditing—ending with a full proposal simulation under amendment pressure.