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Features

Products — the knowledge-product pipeline

Turn a thesis and a folder of raw material into a finished two-component knowledge product, stage by stage, with you directing every gate.

The Products view is a knowledge-product factory. You bring a thesis and a corpus of raw material — reports, research, transcripts, notes — and a staged agent pipeline researches, outlines, refines, and finishes a two-component knowledge product: a dense agent-facing knowledge set an AI executes from, plus a human-facing manual (PDF) a person reads.

The pipeline is operator-directed by design. Agents do the reading, extraction, and writing; a local engine does everything deterministic — paths, IDs, status, file staging, export; and you review and dispatch at every stage boundary. Nothing advances because a timer fired.

Products is an Ultra surface — see Tiers: Pro & Ultra. On Pro the view stays visible with a lock and an upgrade note.

The view at a glance

A persistent left sidebar lists every product and drives which one the stage tabs operate on. The tab bar reads as the pipeline: Research → Scope → Drafts, plus a Registry tab that tables all products across the pipeline.

The lifecycle in one line: create → sight the material → research → the scope workshop → package and export.

Create a product

  1. Click New in the product sidebar.
  2. Name the product, write the seed thesis (what this product argues and for whom), and pick the seed files — the raw material the pipeline will work from.
  3. Save. The product appears in the sidebar and the Research tab becomes its dispatch surface.

An existing product can also serve as a template: Use as template in the Registry pre-fills a new product with the source's thesis, outline, and seed files.

Research — build the knowledge base

The Research tab is a sequence of dispatch cards, run top to bottom. Each dispatch accumulates artifacts rather than overwriting, so you can re-run any step as the material grows.

  1. Sight. The sighter reads every seed file and produces a structured topic index — what material exists, where, about what. Everything downstream navigates by this map instead of re-reading the corpus.
  2. Compose. The composition scout reads the sighted material plus your thesis and proposes a foundation outline. The first run populates the working outline; later runs accumulate alternatives you can adopt.
  3. Research. Dispatch focused research passes. Each run targets one of three scopes — a single section, a general cross-section pass, or the outstanding-research backlog — and produces a build-ready, de-duplicated research note in the product's own voice. Researchers also maintain a shared gap ledger at the product root, so what is still missing is always visible (and dispatchable) per section.
  4. Generate alpha. When the notes cover the outline, this step stages canonical per-section files mechanically and dispatches an auditor that writes a consolidated product overview — thesis, goals, cross-section ownership, duplication findings. That overview plus the full outline is what opens the Scope workshop.

Scope — the section workshop

The Scope tab is the human-in-the-loop heart of the pipeline. It lists every section with its current artifact state, and you work the sections to final:

  • Refine a section: dispatch the refiner with the section's research note, any reference files you select, and your instructions. It transforms notes about the section into the near-final section itself — dense, complete prose — and writes a new revision each time, never editing in place.
  • Finalize a section: the finalizer applies the auditor's cross-section ownership map, scrubs off-voice wording, and produces the final agent-facing section.
  • Close gaps: sections flagged as thin can get a targeted scope research pass without leaving the tab.
  • Re-architect the outline from here if the product's shape needs to change mid-flight.
  • Roll over when the section set is done — staging both components into the draft area for packaging.

Drafts — package and export

By the time a product reaches the Drafts tab, the writing is done; this stage packages:

  • Review the deliverables — the agent-facing set (read-only) and the human-facing per-section documents (editable, with inline image previews).
  • Final touch-up — re-dispatch the human-facing author per section to add images or refine wording before the PDF is built.
  • Cover image — generate the product cover.
  • Package & Export — build the human-facing PDF (images placed), and optionally export the agent-facing set as MDX or PDF alongside it.

Everything the pipeline produces is ordinary files in your workspace — the export step assembles, it does not hide anything.

Registry

The Registry tab is the cross-product table: every product with status, lane, and section progress, filterable and sortable, with per-product actions — open, re-research, refine scope, resume drafting, use as template.

Costs and requirements

  • Agent stages run on your own Claude subscription — sighting, research, refinement, and authoring are agent runs; the deterministic engine work costs nothing. See BYO Claude & keys.
  • Images are optional and bring-your-own. The cover and section infographics use a Gemini API key you provide; the pipeline runs end-to-end without them.
  • Your corpus stays local. Seed files, notes, sections, and exports are files on your disk throughout.

Where to go next

On this page