── Production-Grade Agent Engineering ──

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Crafting autonomous AI agents with production-grade architecture, rigorous testing, and principled engineering.

> ../deploy_agent.shSee the Architecture

Production Architecture

Every agent ships with monitoring, retries, fallbacks, and graceful degradation. Built for the day after launch, not the demo.

Research-Driven Engineering

Decisions trace back to first principles, paper citations, and replicable benchmarks. No cargo-cult prompting.

Open Methodology

Tool contracts, SOUL.md files, and architecture diagrams are published. The work withstands public scrutiny.

§ Research Files

The Lab

Field notes from agents in production. The bugs, the fixes, the architecture decisions.

§ Methodology

Four-Layer Architecture

From sketch to deploy. Each layer has its own discipline, file, and review.

Layer I

Miro

Visual Architecture

Whiteboard the agent's mental model: states, decisions, tool surface, escape hatches.

Layer II

Notion

Contracts & Documentation

Write the SOUL.md, tool contracts, eval criteria, and the deployment checklist.

Layer III

Mermaid

Technical Diagrams

Diagram-as-code for the data flow, state machine, and error pathways. Versioned in git.

Layer IV

Hermes

Implementation

Production code: typed tool calls, retry policies, structured logs, rollback plan.

Seven Disciplines

If one is weak, the design isn't finished.

System Design

states · transitions · invariants

Tool Contracts

schemas · errors · idempotency

Retrieval

indexing · ranking · grounding

Reliability

retries · circuit breakers

Security

sandboxing · prompt-injection

Observability

traces · evals · replay

Product

users · adoption · trust

+ Yours

the discipline you'd add

§ Deployments

Production Cases

Agents currently running in production environments.

Manufacturing · Workforce

● Live

Building a Lead Discovery Agent for a Workforce Import Company, a four-agent research system that reduced manual prospecting from 40 hours to 2 hours per week.

agents: 4skills: 16layers: IV
View Case Study

SaaS · Customer Success

● Live

Automated Onboarding Intelligence for a B2B Platform, an agent fleet that monitors new customer behavior and generates personalized onboarding recommendations before help is requested.

agents: 3skills: 12layers: III
View Case Study

§ Open Source & Community

Build With Me

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.

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YouTube

Long-form architecture walkthroughs, deep dives, and lessons from production agents.

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GitHub

Source code, issues, and pull requests. Public roadmap and design discussions.

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§ Go Deeper

Not Ready to Talk Yet?

Start here instead.

Agent Discovery Brief

The 20-question document we use to define every agent before any code is written. Download it free.

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Weekly Signal

What happened in agent engineering this week. Five minutes. Every week. Free.

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