The strongest agentic systems shipping in 2026 aren't trying to be universal assistants — they're built for one job: support triage, sales research, procurement, IT ops. Here's why narrow keeps winning.

A five-stage self-assessment for AI engineering teams, closing out two series on infrastructure, security, and cost — because the honest answer to "are we production-ready" is usually more specific than yes or no.

The second-to-last post of this six-month run, tracing the direct line from the very first post's architecture question to everything that followed, ahead of tomorrow's closing maturity model."

A practical planning template synthesizing this series' maturity checkpoints into a two-quarter roadmap shape, for a team deciding what to prioritize next rather than tackling everything at once."

The gap between a frontier model and a small one runs into the hundreds of times on cost. Model routing — sending each request to the cheapest model that can actually handle it — is how production teams are closing that gap without a visible quality hit.

An honest retrospective across everything this blog has covered since April — what held up under real operation, and what the early framing got wrong or oversimplified, ahead of the closing posts on this series."

A prototype agent that proved product value and a production-grade platform-backed agent are architecturally very different. The instinct to throw away the prototype and rewrite from scratch is usually the wrong call, and there's a more incremental path."

The platform-team posts earlier in this series assumed building in-house. The buy-vs-build question deserves its own honest treatment, since the agentic-tooling vendor landscape has matured enough that "build everything" is no longer the obvious default."

Traditional capacity planning assumes request volume is the main variable. Agentic workloads add a second, much less predictable variable — how many steps a given request actually takes — which changes the whole planning approach."

The cost attribution infrastructure from earlier posts tells you who's spending what. Chargeback is the organizational decision to actually bill that spend back to consuming teams' budgets — and it changes behavior in ways worth designing deliberately."