Stack OverflowVarun JindalExplainer
Production-grade LLM agents require deterministic machinery around the probabilistic model, not a larger model. A maturity model defines six levels: determinism, evaluation, confidence, safety and governance, operability, and production-grade build, each assuming the one below. Teams should fix their weakest level in order, starting with determinism before evals, and contain the model to a single node in a fixed graph where it proposes actions a separate component applies after approval. A self-assessment checklist with items like evals as a CI gate and layered guardrails helps teams identify their current level, with fewer than half ticked indicating they are earlier than the demo suggests. The post links to a series of 25 deep-dive articles covering each rung of the maturity model.
The gap between a demo agent and a production-grade agent is not about model size but about the deterministic machinery around the model. The post presents a six-level maturity model and a self-assessment checklist to help teams identify and fix their weakest level.
A six-level maturity model: determinism, evaluation, confidence, safety & governance, operability, and production-grade build. Each level assumes the one below; teams should fix their weakest level in order, starting with determinism before evals.
The model should be contained to a single node in a fixed graph, proposing actions that a separate component applies after approval.
Evals should be a CI gate with baselines for drift, not just a pass/fail floor.
Guardrails should be layered (input, output, PII, verify, judge) and fail closed, with an append-only audit ledger.
Determinism. The model should be contained to a single node in a fixed graph, proposing actions that a separate component applies after approval. Loops must be bounded.
Use the self-assessment checklist. If fewer than half of the items are true, you are earlier than the demo suggests. Fix the weakest level in order.
It means the build itself is disciplined, with an operating system for coding agents, parallel agents on a decision log, and decisions written in a log that humans and agents can read.
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