Automated checks did not flag this template at publish. This is not a guarantee of safety, authorship, accuracy, or fitness for any task.
Builds a personal digital twin: a local, always-available skill that knows who you are, advises you in your own framing, and writes in your voice. Use when someone wants to set up or create their own digital twin, a personal-context or knows-me assistant, a write-as-me or advise-me agent, or to capture their identity, values, relationships, and communication style for any AI to use. Keeps the person's data on their own machine.
OutcomeThe person has a personal digital twin that knows who they are and can write and advise as them, installed locally with their data kept on their own machine, that gets more accurate the more they use it.
Automated checks did not flag this template at publish. This is not a guarantee of safety, authorship, accuracy, or fitness for any task.
Remove signs of AI-generated writing from prose text. Use when editing a draft that sounds AI-generated, reviewing content before publishing, cleaning up LLM output for human readers, or preparing text for a brand voice that requires natural human writing.
OutcomeText that sounds natural and human-written, free of AI writing patterns, with genuine voice and personality.
Automated checks did not flag this template at publish. This is not a guarantee of safety, authorship, accuracy, or fitness for any task.
Use when starting a seed or Series A fundraise and the deck structure has not been decided yet, or when a draft feels disorganized and a sanity check against the way investors actually read decks would help. Produces a slide-by-slide outline so the next step is writing slide content, not arguing about which slides to have.
OutcomeFounders walk away with a ready-to-build investor pitch deck outline ordered the way investors actually read decks, cutting deck-structuring from a week of debate to a single review.
Automated checks did not flag this template at publish. This is not a guarantee of safety, authorship, accuracy, or fitness for any task.
Use when you need real unit tests for a function, class, or module and want them generated, verified, and ready to merge. Describe the target in plain language; the workflow handles discovery and writing, then confirms the tests pass, lift coverage, and lint cleanly before handoff.
OutcomeUnit tests for the named target land in the project, exercise at least one happy path and at least one error path, raise the target file's line coverage, and lint clean.
