A three-step method to define quality standards for recurring AI tasks

Dylan Davis January 22, 2026

• Your AI standards are trapped in your head — here's how to extract them.
• Binary pass/fail questions eliminate the subjectivity killing your prompts.
• Must-pass questions prevent AI from acing a checklist but missing the point.

The Exact Claude Setup That Writes My Documents Automatically

Dylan Davis January 20, 2026

How to stop AI context rot using the 60% rule

Dylan Davis January 17, 2026

• AI reliably degrades past 60% of its context window — every time
• A four-question handoff summary resets a dying thread in seconds
• File type determines token cost: video kills context, CSV saves it

Building AI apps with three documents: spec, blueprint, and to-dos

Dylan Davis January 15, 2026

• Three documents — spec, blueprint, to-dos — replace ad-hoc prompting entirely.
• AI interviews you to build the spec; blueprint embeds copy-paste coding prompts.
• Embed error lessons into a rules file so future AI sessions never repeat them.

Giving Claude unlimited memory using external note files

Dylan Davis January 13, 2026

• AI silently processes only 25% of large file batches
• Three local files act as persistent memory across context resets
• Works for transcripts, emails, tickets — no code needed

How to extract and distribute expert knowledge using AI

Dylan Davis January 10, 2026

• One expert's 3x AI efficiency spread to 12 people = 36x leverage
• Three-phase system: extract from expert, package into system prompt, distribute
• Claude skills run autonomously in any conversation — no user setup required

When to use AI vs code: a four-question decision framework

Dylan Davis January 8, 2026

• 95% accuracy means 1 in 20 paychecks is wrong
• If the logic is 'if X then Y', code beats AI every time
• Most tasks are hybrid — split them correctly to cut cost and error

Five ways to turn meeting transcripts into business assets

Dylan Davis January 6, 2026

• Every meeting transcript can generate SOPs, emails, and playbooks in seconds.
• A scoring rubric in your AI project gives you an on-demand coach for any call.
• Objections collected over months become a data asset — not guesswork.

AI strengths and weaknesses: a practical map for getting real results

Dylan Davis January 3, 2026

• AI is a savant, not a spectrum — superhuman at six tasks, broken at six others.
• Hidden dependencies and lack of context are why AI advice stays frustratingly generic.
• Systemize your strongest AI spike now to build compounding leverage.

Build AI Specialists with Projects and Gems Across ChatGPT, Claude, Gemini

Dylan Davis January 1, 2026

• Persistent AI specialists beat one-off chats by eliminating repeated context-setting.
• WWH framework — What, Why, How — structures prompts; optimizer then improves them automatically.
• A/B test specialists across all three platforms to find per-task model winners.

When and how to compare AI models effectively

Dylan Davis December 30, 2025

• 80% of tasks don't need multi-model comparison at all
• Never use the same model to review its own output — bias is real
• Track winners per use case; re-test when new models are released

How to build AI-generated HTML presentations with Claude in five steps

Dylan Davis December 27, 2025

• HTML slides via Claude unlock animations and visuals PowerPoint can't match.
• A saved Claude Project plus system prompt makes every future deck repeatable.
• Download after two chat edits; finish refinements locally in Cursor or Claude Code.

Seven official Claude prompting rules most users ignore

Dylan Davis December 23, 2025

• Vague prompts default to average; specificity escapes the model's gravitational pull
• Explaining why you're asking lets the model infer what you didn't say
• Anthropic's research meta-prompt is night-and-day better than standard queries

How to use AI as an interviewer to find time clarity

Dylan Davis December 18, 2025

• Busy founders have a clarity problem, not a time problem.
• Flip AI: let it ask you questions, not the other way round.
• Three lenses — coach, economist, provocateur — expose hidden trade-offs.

How to automate image prompt writing using AI and five simple inputs

Dylan Davis December 16, 2025

• Let AI write your image prompts — you just supply five inputs.
• JSON-formatted prompts outperform plain text in Imagen 3.
• Save the system prompt in a ChatGPT project for repeatable team use.