── Production-Grade Agent Engineering ──
Crafting autonomous AI agents with production-grade architecture, rigorous testing, and principled engineering.
> ../deploy_agent.shSee the ArchitectureEvery agent ships with monitoring, retries, fallbacks, and graceful degradation. Built for the day after launch, not the demo.
Decisions trace back to first principles, paper citations, and replicable benchmarks. No cargo-cult prompting.
Tool contracts, SOUL.md files, and architecture diagrams are published. The work withstands public scrutiny.
§ Research Files
Field notes from agents in production. The bugs, the fixes, the architecture decisions.
§ Methodology
From sketch to deploy. Each layer has its own discipline, file, and review.
Layer I
Visual Architecture
Whiteboard the agent's mental model: states, decisions, tool surface, escape hatches.
Layer II
Contracts & Documentation
Write the SOUL.md, tool contracts, eval criteria, and the deployment checklist.
Layer III
Technical Diagrams
Diagram-as-code for the data flow, state machine, and error pathways. Versioned in git.
Layer IV
Implementation
Production code: typed tool calls, retry policies, structured logs, rollback plan.
If one is weak, the design isn't finished.
states · transitions · invariants
schemas · errors · idempotency
indexing · ranking · grounding
retries · circuit breakers
sandboxing · prompt-injection
traces · evals · replay
users · adoption · trust
the discipline you'd add
§ Deployments
Agents currently running in production environments.
Our largest deployment to date. Nine coordinated agents running the operational core of a trucking company: route planning, load sourcing, driver and vehicle management, fuel, maintenance, registrations, and every spreadsheet the company used to run on. The owner asks a question in plain language and gets the answer in seconds, from data that used to live in thirty different Excel files.
9 agents · full logistics ops · in production
View Case StudyA clothing manufacturer's entire inventory, every fabric, button, collar, and tie, cataloged as a design vocabulary for an agent. It generates new garment designs composed only from materials the client actually stocks and can actually sew. Not AI art of imaginary clothes. Producible designs, with the bill of materials attached.
1 agent · full asset library · in production
View Case Study§ Open Source & Community
The tools, the writing, the room where the work happens.
Discord
Operators, researchers, and engineers shipping agents. Daily debugging, weekly demos.
Weekly Signal
One email, every Sunday. The most important agent-engineering links of the week.
Subscribe →YouTube
Long-form architecture walkthroughs, deep dives, and lessons from production agents.
Subscribe on YouTube →§ Go Deeper
Start here instead.
The 20-question document we use to define every agent before any code is written. Download it free.
Download Brief