What Your AI Stack Reveals
A 15-minute performative-vs-operational stack audit — 10-item scorecard with interpretation bands and a worked example.
Opinion
Perspective on tools, hype, and what actually works.
Recommended reading order
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Your Company Does Not Need More AI Tools
Operating rules and workflow design beat another subscription when AI touches real customer and compliance work.
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What Your AI Stack Reveals
A 15-minute performative-vs-operational stack audit — 10-item scorecard with interpretation bands and a worked example.
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Chaos vs Control Prompting
The hero contrasts vague chat retries with a four-field prompt — and why control layers beat another model upgrade.
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Five Levels of AI Control
The hero ladder explains tokens, context, temperature, hallucination risk, and RAG — and why buying the top rung alone fails.
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Context Window Myths
Five expensive context-window mistakes ops teams still fund — with symptoms, fixes, and owner roles for each.
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Context Window Limits
Safe, limit, and overflow zones — and when to split research, draft, and checker steps with token budgets per call.
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Tokens as Fuel for AI Output
Why full context windows still produce empty outputs — the fuel metaphor, a failure story, and the refueling...
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Why AI Hallucinates
The grounded-vs-guessing split — a visual primer and decision table for which grounding playbook to read next.
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When AI Hallucinates Confidence
Why fluent wrong answers are dangerous—and how review gates, citations, and escalation reduce exposure.
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Three Types of RAG
Basic, smart, and agentic RAG differ in steps and risk — match the pattern to workflow tier, not vendor marketing.
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Three Types of AI Memory
Session, profile, and system memory explained — with a mapping table to production session, episodic, and...
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What Actually Scales AI Beyond Chat Basics
Five system capabilities and the eval evidence required before each ships to production — not a certification path...
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From Prompt to Agent
The five-stage path on the hero — from one-off prompts to tool-using agents — and when each promotion is justified.
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When AI ROI Memes Drive Real Budget Decisions
When AI ROI memes drive real budget and headcount decisions — three questions and a leader reply template for...
When AI ROI Memes Drive Real Budget Decisions
When AI ROI memes drive real budget and headcount decisions — three questions and a leader reply template for steering meetings.
Five Levels of AI Control
The hero ladder explains tokens, context, temperature, hallucination risk, and RAG — and why buying the top rung alone fails.
Three Types of AI Memory
Session, profile, and system memory explained — with a mapping table to production session, episodic, and organizational design.
Three Types of RAG
Basic, smart, and agentic RAG differ in steps and risk — match the pattern to workflow tier, not vendor marketing.
Context Window Limits
Safe, limit, and overflow zones — and when to split research, draft, and checker steps with token budgets per call.
Tokens as Fuel for AI Output
Why full context windows still produce empty outputs — the fuel metaphor, a failure story, and the refueling workflow ops teams need.
Context Window Myths
Five expensive context-window mistakes ops teams still fund — with symptoms, fixes, and owner roles for each.
Why AI Hallucinates
The grounded-vs-guessing split — a visual primer and decision table for which grounding playbook to read next.
When AI Hallucinates Confidence
Why fluent wrong answers are dangerous—and how review gates, citations, and escalation reduce exposure.
From Prompt to Agent
The five-stage path on the hero — from one-off prompts to tool-using agents — and when each promotion is justified.
What Actually Scales AI Beyond Chat Basics
Five system capabilities and the eval evidence required before each ships to production — not a certification path or license upgrade.
Your Company Does Not Need More AI Tools
Operating rules and workflow design beat another subscription when AI touches real customer and compliance work.
Chaos vs Control Prompting
The hero contrasts vague chat retries with a four-field prompt — and why control layers beat another model upgrade.