Beyond Prompt and Pray: The GMS Methodology, End to End

This is a shorter, presentation-led companion to our hands-on Forge and Proof workshop. Where that session has you building and proving agents at the keyboard, this one steps back and walks the whole methodology end to end — the problem, the thesis that replaces it and a single capstone agent that carries every claim.

Open the deck (runs in your browser) — 22 slides, arrow keys or the on-screen arrows to move through them. It opens in a new tab.

Subscribe and we’ll send you the book

The deck is the short version. Want the long one? Subscribe and we’ll email you a preview copy of the book Beyond Prompt and Pray — the full methodology in book form, the same governed banking-complaint agent worked chapter by chapter. Drop your email into the subscribe form in the footer of any page and we’ll send it over.

What this session covers

The deck is built in five parts, each one grounded in the same governed banking-complaint agent so nothing stays abstract.

• The problem. Why prompt and pray isn’t reliable in a regulated workflow, and the thesis that replaces it: reliability lives outside the model, not inside the prompt.
• The methodology. The three pillars — small fine-tuned models, the Geometric Memory System (GMS) substrate and DoE-designed data — and why each one turns a hopeful guess into measured behavior.
• The capstone. One task, the same banking complaint, done two ways: the default agent versus a governed one. You see where the default quietly fails and where the governed version drafts, escalates or refuses.
• The build. Assembling the agent one layer at a time — a typed action and a loop, then tools, safety gates, planning, memory, evaluation and governance — each layer with a runnable notebook.
• The companion volumes. How this connects to Ship and Pray (testing) and Chunk and Pray (retrieval), so the methodology reads as one system rather than three separate tricks.

What you’ll leave with

• A shared vocabulary. Everyone in the room — model risk, engineering, compliance — comes away describing reliability the same way: bounded, checked and replayable.
• A worked example. The banking-complaint agent is small enough to hold in your head and real enough to show the failure modes that matter.
• A map of the build. You’ll know which layer does what, so the hands-on session isn’t the first time you see the pieces fit together.

If you want to follow along

You don’t need to install anything to watch the walkthrough — the deck runs entirely in the browser. If you’d like to run the code afterward, the Knowlytix family is live on PyPI at a stable 1.0, and the Forge and Proof briefing has the full setup and prerequisites.

Questions before the session? Email us at hello@knowlytix.ai.

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Stop shipping and praying. See the methodology whole, then come build it with us.