Articles.
Actionable strategies for $500k+ operators building AI systems into their business.
No fluff. No hype. Every article answers a specific question and ends with something you can act on.
- AI Implementation
Document Ingestion for AI: A Plain Step-by-Step Guide
Learn how document ingestion for AI works, from collecting files and reading scans to chunking, metadata, testing and updates. Plain steps, no jargon.
Read articleJKJames Killick12 min read - AI Implementation
AI Incident Runbook: A Plain Guide to Writing One
Build an AI incident runbook in six clear steps: detect, contain, keep evidence, find the cause, recover and learn. Plain English, with a template you can copy.
Read articleJKJames Killick11 min read - AI Implementation
RAG for Company Knowledge: A Plain Guide
RAG for company knowledge lets an AI answer from your own documents and cite them. See how it works, how to prepare files, keep data safe and test it.
Read articleJKJames Killick10 min read - AI Implementation
Embedding Strategy: How to Choose, Test and Ship One
Build an embedding strategy that works: pick a model, chunk your content, test with real questions, and know when to add keyword search. In plain steps.
Read articleJKJames Killick10 min read - AI Implementation
Source of Truth for AI: What It Is and How to Set One Up
A source of truth for AI is the record your AI must trust. See how it differs from an AI system of record and how to build one in plain steps for founders.
Read articleJKJames Killick11 min read - AI Implementation
AI Workflow Versioning: A Plain Guide to Safe Changes
AI workflow versioning in plain English: what to version, how to roll back a bad change, and how to pin your model so your agents stay steady and fully tested.
Read articleJKJames Killick9 min read - AI Implementation
Role-Based Access for AI Systems: A Plain Guide for Founders
How role-based access works for AI systems and agents, where it falls short, and the simple layers that keep your client data safe. Plain English, clear steps.
Read articleJKJames Killick10 min read - AI Implementation
Client Progress Analytics AI: A Plain Guide for Founders
Client progress analytics AI guide: what to track, how to build it in five steps, and where a human must check the work. Made for founders and educators.
Read articleJKJames Killick11 min read - AI Implementation
AI Workflow Prototyping: Test Your Idea in 30 Days
AI workflow prototyping means testing one small AI system on real work before you build big. Here is a plain, step-by-step way to do it, with costs and checks.
Read articleJKJames Killick9 min read - AI Implementation
AI Fallback Strategies: What to Do When Your AI Fails
A plain guide to AI fallback strategies: the fallback ladder, safe retries, when to hand off to a human, and the AI failure modes you should plan for first.
Read articleJKJames Killick10 min read - AI Implementation
Prompt Library Management for Teams: Go Live in 30 Days
Prompt library management for teams: store prompts as versioned assets, add owners and test gates, and get a working library live in 30 days, step by step.
Read articleJKJames Killick7 min read - AI Implementation
AI Rollout Roadmap: Link NIST to KPIs in 90 Days
Build an AI rollout roadmap in 90 days. Score readiness, pick one lighthouse use case, apply the NIST AI RMF, and track KPIs weekly from day one with owners.
Read articleJKJames Killick7 min read
Showing 12 of 63 articles. Page 1 of 6
Ready to find out where your biggest opportunity is?
Take the assessment. It takes about 5 minutes. You'll get a clear picture of how ready your business is. And what to focus on next.