LLM

From Manifesto to Code: How argentic-mw Runs Its Agents

2026-07-23 by [Mathias WOLFF]

ai agents llm architecture python argentic‑mw

The implementation of argentic-mw: the common Core in two hundred lines, three pipelines (Watch, Web Stats, Zendesk), the rule table, the auto-response guardrails and the scheduler via Postgres leader election.

When to Choose an All-in-One LLM Platform, When to Build Custom

2026-07-22 by [Mathias WOLFF]

ai agents llm architecture build‑vs‑buy argentic‑mw

Build or buy for an LLM agent? Three axes, six decision criteria, and a quadrant to compare full-LLM platforms, orchestration frameworks and a custom core. The framework I apply to argentic-mw.

Why Supervised Agents, Not Autonomous Ones

2026-07-21 by [Mathias WOLFF]

ai agents llm architecture security argentic‑mw

Why I built a supervised agent rather than an autonomous one for a scheduled business pipeline. The LLM steps in at extension points where it is useful, the rest is deterministic, traceable, replayable code.