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Note de implementare AI

Learn Baciu.com adună conținut practic despre agenți, raționament, recuperarea cunoștințelor, automatizare și operarea sigură a sistemelor AI.

Delivery strategy

How to scope an AI pilot that survives production

Scope the operating model early: data access, evaluation, escalation, ownership, and release controls.

11.05.2026 · 9 min citire

Agentic systems

Why agentic systems need escalation design

Autonomy without escalation policy turns small errors into operational incidents.

13.05.2026 · 8 min citire

Agentic systems

Designing tool contracts for reliable agent actions

Typed tool interfaces reduce hallucinated actions and make retries safe.

15.05.2026 · 7 min citire

Reasoning quality

Counterfactual test suites for reasoning workflows

Test scenario variants before launch to detect brittle reasoning logic.

17.05.2026 · 10 min citire

Governance

Evidence packets for human approval

Approval flows work when reviewers get concise context, not raw transcripts.

19.05.2026 · 6 min citire

Retrieval operations

Retrieval freshness SLOs and alerting

Knowledge systems need freshness targets, not just index size metrics.

21.05.2026 · 8 min citire

Retrieval operations

Permission-aware citation UX patterns

Show evidence safely without leaking restricted content across teams.

22.05.2026 · 7 min citire

Process automation

Ticket triage architectures for AI support teams

Classify, route, and escalate tickets with predictable queue behavior.

23.05.2026 · 9 min citire

Process automation

SLA escalation graphs for agentic automation

Model SLA risk explicitly and trigger intervention before breaches happen.

24.05.2026 · 8 min citire

Platform operations

Model routing policies for cost and latency control

Route tasks by complexity and risk to balance quality, latency, and budget.

25.05.2026 · 8 min citire

Platform operations

Observability signals that matter for AI systems

Focus on decision quality and escalation behavior, not token counts alone.

26.05.2026 · 9 min citire

Governance

Release gates for prompt and model changes

Treat prompt and model updates like code changes with explicit approvals.

27.05.2026 · 7 min citire

Delivery strategy

Operating cadences for AI adoption teams

Weekly rituals convert experimentation into accountable delivery.

28.05.2026 · 6 min citire

Delivery strategy

Handoff patterns from build teams to client operators

Operational ownership transfer should be planned as a product milestone.

29.05.2026 · 8 min citire

AI economics

The economics of production AI programs

Estimate value with baseline volume, cycle time, exception rate, adoption curve, and operating cost instead of generic AI claims.

30.05.2026 · 10 min citire

AI economics

Benchmarks that matter after AI go-live

Track resolution share, reviewer load, exception recovery, unit cost, latency, and quality deltas once the system is live.

31.05.2026 · 8 min citire