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Agents in Production: routing, context graphs, payments, LSPs & ALE

Ari Jacoby’s Concentrate AI enters the AI routing fight as token bills bite. Concentrate AI debuts a control plane to route requests across models, optimizing cost, latency, and data policies. That gives outcome engineers a practical model-control layer for policy-aware orchestration and cost-aware routing — Principle 09.

Autonomous context graphs get Jedi powers. Jedify raises $24M to build live context graphs that give AI agents enterprise-grade understanding across fragmented systems and data. Outcome engineers can use these graphs to make agents’ world models legible and reliably grounded in system-of-records — Principle 06.

OpenAI and Visa partner to let AI agents make purchases online with user permission. OpenAI and Visa enable AI agents to complete online purchases with user permission. Outcome engineers must now design consent, authorization, and auditable payment trails into agent flows where agents hold purchasing authority — Principle 15.

Give GitHub Copilot CLI real code intelligence with language servers. Copilot CLI installs and configures LSP servers via an LSP Setup skill, giving agents precise semantic code intelligence across 14 languages. That reduces brittle prompt-based coding and helps agents make verifiable code changes in CI/CD workflows — Principle 06.

Surprise upset: GPT-5.5 beats Claude Fable 5 on brutal new Agents’ Last Exam benchmark. The Agents’ Last Exam benchmark evaluates long-horizon professional workflows and exposes LLMs’ inability to reliably produce deterministic, artifact-based results. Outcome engineers should adopt artifact-first evaluation and integrate deterministic grading into deployment gates and audits — Principle 16.