The Agent Foundry
One membership: your fit on every role on the AI engineering job board, and 9 implementation books with production code for shipping agentic systems.
Membership
7 days free€14.99/month
Free for 7 days. Cancel anytime.
€0 today · cancel anytime
One-time purchase
Launch offer · 50% off€49.99€99
Once. Yours forever.
No subscription · one payment
| What you get | Membership | Library |
|---|---|---|
| Your fit for every role on the job board, from your CV | ✓ | — |
| The full job board, not just the 20 free roles a week | ✓ | — |
| Every book in today's library (7) | ✓ | ✓ |
| All code repositories & premium assets | ✓ | ✓ |
| Lifetime updates to the included books | ✓ | ✓ |
| New books as they ship | ✓ | — |
| New playbooks, repos & assets as stacks change | ✓ | — |
| Direct access to the author | ✓ | — |
| Price | 7-day free trial, then €14.99/mo | €49.99 once |
Sign in with Google, LinkedIn or email at checkout · already a member? Sign in
Feedback from readers of the playbooks and write-ups these books and repositories are built on.
“Really enjoyed this, especially the emphasis on system design over model choice. I shared it in a LinkedIn post as it aligns closely with how I've been thinking about inference orchestration. Appreciate you putting this out.”
“This is crazy! With your exact llama.cpp config, performance on my RTX 4090 is insane for short prompts: input 5,386 tokens/s (no caching), output 165 tokens/s. Perceived output quality is excellent too, on par with gemini-3-flash for my use case. Thank you very much for sharing!”
“Thank you! Massive effort and greatly appreciated. This is a great write-up and incredibly helpful!”
“Congratulations! I finally found a resource that explains things simply, clearly, and directly, and, most importantly, focused on everyday use.”
“I've read a hundred resources about this stuff and most of them feel like sales pitches. This was actually really helpful though!”
“For real though, these should be way more popular!”
“This hit all the right notes”
“You put great value in this resource, thank you!!”
“Impressive breakdown of how efficient architectures are redefining what's possible on consumer hardware. This really highlights a meaningful shift for local AI development. The practical insights on optimization and real-world tradeoffs make this especially valuable for anyone building serious agentic workflows.”
“Good to read expert opinion, keep it up!”
Shipped
The forward deployed engineer and applied AI interview, question by question, with the engineering behind every answer: inference, RAG, agents, MCP and voice, guardrails and responsible AI, evaluation, the coding round, system design and customer cases, and the behavioral round
Shipped
The system around the model, for AI engineers who build agents and run coding agents in production: the agent loop, context and caching, tools, feedback and verification, permissions and sandboxes, orchestration and long-running work, the repository as the harness, and how to measure a harness change
Shipped
A hands-on field guide for AI engineers: from regex assertions to statistically rigorous agent evaluation - deterministic checks, reference metrics, model-graded scoring, LLM judges, trajectory evals, pass^k and confidence intervals, and the production eval loop
Shipped
Turn coding agents into a governed production line: intent as versioned specs, an assembly line, quality control, coherence, provenance, and accountability - in current Claude Code and Codex syntax
Shipped
Two volumes, one machine: the GPU platform from SIMT cores to GPU-cloud economics - with the math - then one CUDA kernel read line by line at four altitudes
Shipped
Comprehensive technical reference for deploying, optimizing, and productionizing local LLMs
Shipped
Operating model and architecture playbook for enterprise-grade agent systems
Shipped
Implementation guide for production OpenClaw agent systems
Shipped
Production blueprint for architecting, shipping, and operating agentic SaaS
The industry is full of impressive demos, workflow walkthroughs, and repositories. But a working prototype is not a production system. The real engineering begins at the point where most examples stop: authentication, authorization, tenant isolation, billing, durable execution, retries, observability, data ownership, and the failure modes that only appear under real usage.
The Agent Foundry is built for founders, engineers, and operators closing that gap. It provides implementation-level guidance, production-oriented reference architectures, and code shaped by actual product constraints, not idealized examples.
Every playbook is derived from building and operating agentic AI products in practice. As models, infrastructure, pricing, and platform capabilities evolve, the material evolves with them.
The job board and the matching come from the same place: the roles worth having are the ones building these systems, and your fit is read from what you have actually shipped.
If you want the books and code as they exist today, buy the Complete Library once (€49.99); it's yours forever, including future updates to those books. If you are looking for your next role, or want the library as a living system with every new book on release, pick the membership: it adds your fit on every job and the full board. You can own the Library now and join the membership later.
Upload your CV once. It is read into skills and experience that you confirm or reject, and every role on the board is checked against it, requirement by requirement. You see where you fit, what transfers, and your best matches first. Your CV stays private, and you can export or delete it at any time.
No, and that's deliberate. The Library covers the books published at the time you buy, plus all future updates to those books. Brand-new books ship to members first. Join the membership anytime to get every new release.
These are integrated systems and execution paths, not disconnected blog posts, the premium planes (Memory, Data, Security, Observability) are 10x deeper than the free chapters, and the repos reflect real product constraints.
Good, because this isn't one. Playbooks are engineering references: implementation patterns and production repos, updated as the ecosystem moves.
Everything here is reversible. The membership starts with a 7-day free trial, you can cancel before it ends and you're charged nothing. And there's a 7-day money-back guarantee on any purchase: email me and I'll refund you, no forms.
That's the best time. You can install durable product foundations such as auth, billing, tenant isolation, observability, before they become expensive to retrofit.
