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 - Agentic AI
Autonomous vs Assisted AI: How to Pick the Right Level
Autonomous vs assisted AI in plain words. Assisted AI suggests, autonomous AI acts. See the autonomy levels, the risks, and which tasks to hand over or keep.
Read articleJKJames Killick10 min read - AI Tools
Salesforce AI Workflows: What They Are and How to Start
Salesforce AI workflows explained in plain English: how agents differ from old automation, what they can do, and how to prepare, test and measure them.
Read articleJKJames Killick8 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 Strategy
Retrieval Strategy: How to Make Learners Remember
A retrieval strategy gets learners to recall what they know instead of rereading it. See how it works, what the research says, and how to build it into a course.
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 Strategy
AI Data Sources: Where AI Gets Its Data and How to Choose
Where does AI get its data? See the main AI data sources, how public, licensed and first-party data differ, and how to check any source before you use it.
Read articleJKJames Killick11 min read - AI Strategy
AI for Consulting Operations: A Plain Guide for Founders
AI for consulting operations: what to automate first, what to keep human, how to stay safe and what it costs. Plain, practical steps for $1M+ consulting firms.
Read articleJKJames Killick9 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
Showing 12 of 238 articles. Page 1 of 20
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