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.

• Using AI for writing without losing the draft's voice

  A practical AI writing workflow: brief the model once, draft, critique and revise in one private thread, and switch models mid-draft when one stalls.

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content creation the repeatable way: one source piece, many formats, a standing style thread, and private threads for unpublished work.

• AI for coding: reading, debugging and reviewing real code

  Use AI for coding where it pays off: reading unfamiliar code, debugging with real context, review passes and refactors — with files attached and threads private.

• AI for research on the sources you already have

  Use AI for research on material you supply: summarise papers, compare sources, stress-test arguments and keep every thread private. No web browsing, no invented citations.

• AI summarization that keeps what the decision depends on

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

• AI document analysis you can check line by line

  Analyse documents with AI: extract structured fields, compare two versions, question a PDF in a thread, and verify every extraction against the source.