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Content index
Browse every published blog note, reference article, track hub, and playbook.
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.
博客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.
博客Handoff patterns from build teams to client operators
Operational ownership transfer should be planned as a product milestone.
博客Operating cadences for AI adoption teams
Weekly rituals convert experimentation into accountable delivery.
博客Release gates for prompt and model changes
Treat prompt and model updates like code changes with explicit approvals.
博客Observability signals that matter for AI systems
Focus on decision quality and escalation behavior, not token counts alone.
博客Model routing policies for cost and latency control
Route tasks by complexity and risk to balance quality, latency, and budget.
博客SLA escalation graphs for agentic automation
Model SLA risk explicitly and trigger intervention before breaches happen.
博客Ticket triage architectures for AI support teams
Classify, route, and escalate tickets with predictable queue behavior.
博客Permission-aware citation UX patterns
Show evidence safely without leaking restricted content across teams.
博客Retrieval freshness SLOs and alerting
Knowledge systems need freshness targets, not just index size metrics.
博客Evidence packets for human approval
Approval flows work when reviewers get concise context, not raw transcripts.
博客Counterfactual test suites for reasoning workflows
Test scenario variants before launch to detect brittle reasoning logic.
博客Designing tool contracts for reliable agent actions
Typed tool interfaces reduce hallucinated actions and make retries safe.
博客Why agentic systems need escalation design
Autonomy without escalation policy turns small errors into operational incidents.
博客How to scope an AI pilot that survives production
Scope the operating model early: data access, evaluation, escalation, ownership, and release controls.
知识库Agent authority boundary template
A practical template for defining what an agent can and cannot do.
知识库AI incident postmortem structure
A postmortem structure tailored for model and workflow incidents.
知识库AI ROI model worksheet
Worksheet for estimating automation value from volume, cycle time, labor mix, quality lift, and operating cost.
知识库Benchmark instrumentation checklist
Checklist for proving production AI value through measurable throughput, quality, cost, and risk signals.
知识库Client handoff readiness scorecard
Scorecard for transitioning AI operations to client-side ownership.
知识库Content ingestion runbook
Runbook for ingestion jobs, freshness validation, and failure recovery.
知识库Counterfactual test design guide
How to create case variants that expose brittle reasoning patterns.
知识库Escalation packet reference
Recommended fields for high-signal escalation handoffs.
知识库Model routing policy template
Define model selection policy by task complexity and risk class.
知识库Operating cadence checklist
Weekly and monthly rituals for keeping AI delivery accountable.
知识库Production AI readiness checklist
Readiness checks for data, approvals, observability, and ownership.
知识库Retrieval quality basics
Core quality dimensions for source-grounded answer systems.
知识库SLA risk routing patterns
Patterns for routing queues based on SLA risk and business impact.
知识库Ticket queue observability metrics
Queue metrics that matter for AI-supported service operations.
专题Agent design
Planning loops, tool contracts, stop conditions, and human supervision for autonomous workflows.
专题Reasoning systems
Structured prompting, verifier chains, and decision quality checks for high-stakes outputs.
专题Retrieval platforms
Knowledge ingestion, indexing, permissions, and citation UX for source-grounded AI.
专题Process automation
Ticketing, queues, escalation routing, SLA orchestration, and workflow observability.
专题Platform operations
Routing models, cost controls, telemetry, release governance, and incident response patterns.
专题Change management
Adoption playbooks, operating cadences, enablement artifacts, and team handoff routines.
专题AI economics
ROI baselines, adoption economics, cost curves, and benchmark instrumentation for production AI programs.
手册Pilot to production
A staged path from prototype workflow to governed production service.
手册Retrieval hardening
Improve source quality, freshness, and citation confidence before broad rollout.
手册Support automation rollout
Deploy ticket triage and drafting with risk controls and escalation policies.
手册Governance by design
Embed approval and release controls directly in delivery workflow.
手册Value realization operating model
A practical sequence for turning AI delivery into measurable economic outcomes.