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Agent Cost & Model Selection Series — Start Here

article•3 min read•Updated:

This hub collects writing on agentic cost engineering: choosing agents and models for ROI. The public site one-liner stays broad; this cluster is where the niche gets sharp.

Definitions:

It is not an OpenRouter-only story. OpenRouter is one control plane I use in practice. The ideas — task classes, capability labels, failure-priced ROI — apply with any router or even a static allowlist.

Evidence behind this series

These figures come from systems I operate today — same source as profile facts and the €35/mo content org case:

Signal Figure
Live projects in the studio 10+
Containers on the stack 30+
MCP integrations 12+
Monthly infrastructure ~€35

Order-of-magnitude, not a finance audit. LLM API spend is billed separately from the infrastructure band.

Downloadable artifact: Routing table v1 — citable markdown with A–D task classes, role/tier/approval columns, and EXAMPLE rows you can adapt.

1. Cost, ROI & model routing

Core notes on task classes, routing tables, and failure-priced ROI:

  1. Operating Note 002: Right agent, right model, best ROI — positioning + A–D task classes
  2. Guardrails in practice — approvals, scoped tools, evals, role spend
  3. Automatic model watch — discover → test → label → promote
  4. When cheap models get expensive — price failure into ROI
  5. Eval fixture pack (copy-paste) — stable battery for promote/demote

Comparisons

Gateway and control-plane choices for the same routing discipline:

2. Agent organizations & practice examples

How cost/ROI thinking shows up in real agent setups and operating loops:

3. Next step

If agent cost, model routing, or operating an agent org is a topic you are working through, get in touch to compare notes. Deeper context lives in the linked operating notes and projects on this site.

Tools Used in This Article

This article mentions several tools from my tech stack.