AI systems that actually reach production

Copilots look good in demos. Useful agents survive handoffs, permissions, observability, and human fallback.

A copilot is adopted only when the user understands what it knows, what it does not know, and when they should intervene.

Five recent moves from OpenAI, GitHub, AWS, and Anthropic that change how teams design, build, and operate software.

Model Context Protocol connects agents to tools and data. What its adoption figures show and why Gartner's forecast concerns agents, not protocols.

On August 2, 2026, the high-risk rules come into force. Fines of up to €35M or 7% of global revenue. What your agent needs to pass.

Monitoring an LLM is not monitoring a microservice. Tokens, cost, variable latency, drift, and subjective quality. How to build the stack with OTel + GenAI semantic conventions + online evals.

Copilot Code Review expands its shell tools. Five criteria to verify findings, constrain access and evaluate reviews through reproducible evidence.

Gemini 3.8 Live keeps conversations going while tasks run. Five decisions for handling interruptions, late results and reliable confirmations.

Six criteria for evaluating Arcjet: tool coverage, trusted identity, policies, failures and evidence before granting your agents broader permissions.

Google’s new library raises a product decision: how to validate rules, interaction and learning before releasing AI-generated simulations.

Claude Code adds AGENTS.md support. Five criteria for sharing instructions while preserving scope, reproducibility, and control over changes.

Grok 4.7 changes state handling in the Responses API. Five criteria for preserving context, evaluating continuity, and controlling integration risks.

Claude Opus 5.5 changes reasoning, tools, and progress. Five gates for migrating agents with evidence, controlled cost, and rollback.

Microsoft proposes offloading robot inference to edge or cloud. Six decisions for gaining capacity without handing safety to the network.

GPT-6 adds prompt-caching diagnostics and controls. Five decisions for reducing repeated work without hiding costs, failures, or isolation.

Microsoft joined discovery, evaluation, and runtime policy. Six decisions turn the loop into release evidence instead of a demo.

GitHub connected more Slack and Teams context to executable work. Five controls preserve provenance, scope, and a revocable outcome.

More reasoning does not always produce a better change. Five gates select effort by task, scope, cost, and accepted outcome.

Single, cascade, or critique are not magic shortcuts. Five gates measure quality, cost, latency, isolation, and repository state.

Five gates for deciding whether an agent that sees, clicks, and types in desktop apps can operate without losing control or evidence.

Five gates that let an agent advance while slow tools run without losing dependencies, control, state, or evidence.

Six controls for detecting coordinated model extraction without blocking legitimate customers or turning every prompt into a false alarm.

Five gates for letting an agent operate on repositories with short-lived tokens, least privilege, safe transport, and verifiable recovery.

Five decisions for measuring a code reviewer with representative PRs, auditable ground truth, honest metrics, and production validation.

Six controls for enabling dual-use cyber capabilities with identity, isolation, limited egress, monitoring, and verifiable revocation.

Six gates for validating AI-generated interfaces: intent, components, state, actions, accessibility, and measurable outcomes.

Running the model on device does not make the whole agent offline or secure. These five boundaries turn the local promise into a verifiable decision.

Agents persist when a task fails. Six gates turn that behavior into a controlled test before granting more autonomy.

Time budgets, fair-share, and execution contracts turn a contested GPU queue into a verifiable operating decision.

Checkpoint, buffer, and separate precisions can speed up hybrid models. Six decisions reveal when the mechanism actually fits.

Attributing activity does not require copying prompts or code. Five decisions make agent telemetry useful, minimal, and auditable.

A central policy cannot protect a client using a stale copy. Five gates turn freshness, precedence, and version into evidence.

Closing an alert does not prove that a patch is safe. This framework separates detection, remediation, regression, and the merge decision.

Owning the weights is not the same as controlling the system. Five gates to decide whether an open-weight model deserves your infrastructure.

An agent can respond quickly and still be wrong. Nine gates connect offline evaluation, release, production, and verifiable learning.

Translating millions of documents does not create a trusted corpus. Six gates separate generation, acceptance, evaluation, and multilingual release.

A high benchmark score does not authorize a legacy migration. Seven gates turn code translation into evidence of parity and rollback.

Parsing, retrieving, and reranking are different contracts. Seven gates help decide whether a multimodal stack improves evidence without hiding new failure modes.

More agents help only when work can be split without losing evidence. Seven decisions turn parallelism into evaluable coverage.

Decisions API speeds up bounded answers. Seven gates help calibrate thresholds, fallbacks, and review before automation.