AI Deployment
Workflow selection, production readiness, ROI, rollout sequencing, and operating ownership.
Writing
Practical articles for moving AI from demo to deployment.
Direct, extractable writing for operators, founders, and technical teams who need to choose workflows, evaluate AI systems, and ship production-ready automation.
Guides
Practical AI implementation guides for business leaders and technical teams.
Start with the topic closest to the workflow you are evaluating: selecting the right automation opportunity, moving from prototype to production, or testing a knowledge assistant before rollout.
AI Deployment
What a Production AI Engineer Does for Mid-Sized Companies
Learn what a production AI engineer does, when to hire one, and how they turn AI workflows, RAG systems, and agents into reliable business systems.
AI Deployment
How to Pick an AI Workflow Automation Project Worth Building
A practical framework for choosing AI workflow automation projects with clear ROI, usable data, manageable risk, and realistic implementation paths.
AI Deployment
AI Prototype to Production: A Practical Checklist for Business Workflows
Use this AI prototype to production checklist to plan data access, evaluation, permissions, monitoring, cost controls, rollout, and workflow ownership.
RAG and Knowledge Systems
RAG Evaluation: How to Test AI Knowledge Assistants Before You Trust Them
A practical RAG evaluation framework for testing retrieval quality, answer faithfulness, citations, refusal behavior, latency, cost, and business usefulness.
Agents and Workflow Automation
How to Build an AI Agent That Does Not Break Your Operations
A practical guide to AI agent implementation with tool permissions, human approvals, evals, logging, rollout controls, and operational risk management.
AI Deployment
The AI Opportunity Scorecard: A Practical Framework for Operators
Use this AI opportunity scorecard framework to rank AI workflow ideas by pain, data readiness, risk, integration effort, ROI, and implementation path.
Topics
What these guides help you decide.
RAG and Knowledge Systems
Retrieval, citations, evals, document pipelines, and hallucination reduction.
Agents and Workflow Automation
Tool use, approvals, orchestration, observability, failure modes, and human review.
Build Logs
Implementation notes with architecture, tradeoffs, deployment lessons, and practical operating details.