What Is Graph Engineering?
Graph engineering is the practice of making control flow explicit: routing, branching, retries, joins, approvals, and state stop being hidden in prompts and scripts and become a visible workflow that can be inspected, governed, and debugged.
What Is Loop Engineering?
Loop engineering is the practice of designing the think, act, observe cycle that decides an AI agent's next move, instead of leaving it to whatever loop a framework hardcodes. Matimo Workbench ships 16 of these reasoning loops and dispatches to whichever one fits the task.
What Is Harness Engineering?
Harness engineering is building the layer that lets an AI agent safely act: checking permissions, executing the tool call, and returning the result. Matimo OSS does this with a fixed six-step pipeline and rule-based risk checks, not a model's guess.
What Is Context Engineering?
Context engineering means deciding what information enters a model's context window, when, and how much, not just what the prompt says. Matimo enforces that discipline with hard per-component token budgets and progressive skill loading, not a slogan.
Introducing Matimo.ai
Why we built Matimo: a governed AI agent platform for underserved businesses, and a walkthrough of what actually ships in Reasoning Engine, Matimo OSS, Studio, Context Engine, and Governance.
Five governance layers. Only one can stop an agent before it acts.
A field guide to what people mean by 'AI agent governance', and why most stacks are missing the layer that blocks a bad action before it happens.
Matimo Workbench is now generally available
Matimo Workbench moves from Early Access to general availability on matimo.ai, the same governed agent platform, now open to every team.
Coding got cheap. Judgment got expensive: the SDLC framework
Agents made coding cheap. That doesn't retire discipline, it moves the bottleneck to planning and review. A 14-checkpoint framework for what changes.
MCP servers: the new attack surface, and how to govern it
MCP made it trivial to plug tools into an agent. It didn't make it safe. What the 2026 research found on MCP's security gaps, and how to govern a tool call.
AI Agent Governance Platform: A Buyer's Guide (2026)
A structured comparison of AI agent governance platforms, builders, and frameworks, plus a buyer's checklist for evaluating any vendor.
Most AI agent platforms make you choose: build fast or trust it
Why enterprises need an Agent Operations Platform: a comparison of no-code builders and governance vendors, and where Matimo Workbench fits.
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