AI use cases, with the workflow spelled out

Each page describes a specific loop — what to attach, what to ask, and what to verify — using only capabilities ChatOTL actually ships. No web browsing, no autonomous agents, no accuracy guarantees.

• A practical AI writing workflow, from first draft to revision

  A step-by-step AI writing workflow: how to brief a model, get a usable first draft, run a critique pass, revise, and check the result before publishing.

• AI for content creation, from one source piece to many formats

  Use AI for content creation the repeatable way: one source piece, many formats, a standing style thread, and private threads for unpublished work.

• A practical workflow for debugging and reviewing code with AI

  A step-by-step workflow for using AI on real code: how to describe a bug, get ranked causes, review a diff, and refactor without changing behaviour.

• A practical workflow for researching with your own sources

  A step-by-step research workflow: how to question a paper, compare two sources, stress-test a conclusion, and verify every claim before you rely on it.

• AI summarization that keeps what the decision depends on

  Summarise documents, transcripts and long threads with AI: pick the summary shape you need, attach the source, verify the parts that carry decisions.

• A workflow for analysing documents you can check line by line

  How to analyse documents with AI: ask for structured extraction with source locations, compare two versions, find gaps, and audit every value against the file.