Troubleshooting guides
Step-by-step AI guides tagged Troubleshooting.
Spot and reduce hallucinations in your workflow
Fabrication is not random. It clusters in predictable places, which means you can check the high-risk ou...
Read guideUse an AI coding assistant without shipping code you did not read
AI assistants are genuinely good at writing code and genuinely bad at knowing when they are wrong. This...
Read guideGive an agent tools without giving it your whole account
An agent with your API key has your permissions. Since its instructions can come from text it reads, tho...
Read guideWrite SQL with AI against a schema it has never seen
A model will write syntactically perfect SQL against a schema it is guessing at. The query runs, returns...
Read guideUpscale and retouch AI images without the plastic look
The waxy, over-smooth quality people associate with AI images is mostly introduced after generation, by...
Read guideDebug a prompt that worked yesterday and does not today
When a reliable prompt starts producing rubbish, the instinct is to rewrite it. That is usually the last...
Read guideClean up bad audio with AI before you re-record
AI audio repair has quietly become very good. Knowing which problems it solves saves a re-record; knowin...
Read guideAdd a human approval gate to an AI automation
Approval gates fail in two directions: too many and people rubber-stamp, too few and you find out from a...
Read guideResearch with AI without inheriting its mistakes
AI is genuinely fast at finding leads and genuinely unreliable at facts. The workflow that works keeps t...
Read guideReview AI-generated code in ten minutes
Generated code fails in a characteristic pattern — rarely in the logic, often at the edges, the dependen...
Read guideHandle personal data in AI tools without breaking the law
Most AI data problems are not exotic. They are a consumer account processing customer records, and they...
Read guideWritten to be followed, not skimmed
Every guide here is a procedure someone actually ran, with the steps, the time it takes and the places it goes wrong.
Numbered steps, not prose
Each guide breaks into steps with their own anchor, so you can send a colleague straight to step four. Those anchors are minted once and never move.
Levels you can read without colour
Beginner to Expert, shown as filled pips as well as a label, so the level survives a screenshot, a colourblind reader and a printout.
An honest time estimate
The minutes on each card are the sum of its steps, not a reading speed. Guides without an estimate sort last rather than first — an unknown length is not a short one.
Freshness that means something
“Updated” moves only when a person changed the content — never when someone read it. Sorting evergreen guides any other way ranks whatever was most recently opened.
Filters that admit when they are empty
Every count is measured with your other filters applied, so the number beside an option is what you will actually get. Options that cannot narrow anything are not offered.
Prerequisites up front
What you need before you start, and what you will be able to do at the end, are stated before the first step — not discovered halfway through.
