learn.baciu.com
Implementation notes for production AI.
Learn baciu.com collects practical writing, FAQs, and reference material for agentic systems, reasoning workflows, retrieval, automation, and AI operations.
Implementation notes
Long-form writing about applied AI systems, delivery, and operations.
TracksCapability tracks
Topic hubs for agent design, reasoning, retrieval, automation, and operations.
PlaybooksDelivery playbooks
Structured sequences for pilot design, hardening, and operational handoff.
FAQCommon questions
Short answers about services, operating model, CMS, and production readiness.
Knowledge baseKnowledge base
Checklists and implementation references for AI projects.
Catalog
Recent resources
Adoption-led AI economics
AI economics depends on adoption curves, reviewer load, and workflow coverage, not just automation potential in a spreadsheet.
Unit economics for agentic workflows
Agentic workflows need unit economics that include model spend, tool calls, review effort, exception handling, and avoided operating cost.
AI runtime incident triage patterns
Runtime incidents need triage paths that distinguish provider outage, quality regression, policy breach, tool failure, and cost runaway.
AI economicsAdoption ramp model
Model for forecasting and reviewing AI adoption by cohort, workflow class, enablement event, and abandonment signal.
Agentic systemsAgent authority boundary template
A practical template for defining what an agent can and cannot do.
Platform operationsAI incident postmortem structure
A postmortem structure tailored for model and workflow incidents.
FAQHow do you estimate AI ROI before production data exists?
Start with current volume, handling time, error rates, escalation share, wait time, and labor mix. Then model conservative adoption over staged rollout instead of assuming full automation on day one.
FAQCan we start with one department and scale later?
Yes. Most programs begin with one queue or workflow, then scale via reusable patterns once quality and ownership are proven.
FAQWhat if model behavior drifts over time?
We define monitoring and re-evaluation loops, with remediation runbooks and rollback procedures tied to release governance.