A personal operator for knowledge work. Deploy focused agents that actually finish the job.
Every agent is built from the same composable core. The same thing that drafts an RFP response also underwrites a deal and cleans a workbook.
Every job starts with a written plan. Subagents split into finance, market, legal, and ops — each with its own budget.
PDFs, spreadsheets, slides, transcripts, contracts, code. It opens them, profiles them, and cites what it used.
Parallel research threads across vendor sites, filings, reviews, and forums. It knows when it's looking at marketing vs. source.
Spins up a sandbox, installs what it needs, runs the analysis. Returns the notebook so you can reproduce it.
Not chat logs. A risk register CSV, an exec memo, a cleaned workbook, a model-ready rent roll — the thing you actually needed.
Long jobs stream to your dashboard. It pings you when it hits a fork or finishes — no babysitting a chat window.
Real task, real run. Watch the agent plan, split the work, browse the web, and land four artifacts on your desk.
Scope the question
Spawn research subagents
Extract pricing & features
Compile comparison table
Draft recommendation memo
Package the deliverable
Every item here is a real run, with real artifacts attached. Fork any of them as a starting template for your own work.
Runs web research in parallel. Extracts pricing, features, reviews. Returns a comparison table and recommendation memo.
Splits into finance, market, legal, ops subagents. Reads uploaded Drive docs. Ships a master report, risk register, and exec summary.
Reads .xlsx files, profiles data quality, flags anomalies and outliers. Returns a cleaned workbook, dashboard image, and findings report.
Pulls vendor, amount, due date, line items from invoice PDFs. Normalizes to CSV for accounting. Surfaces PO mismatches.
Parses contracts. Highlights renewal, termination, indemnity, liability. Returns a red-flag summary and follow-up checklist.
Ingests mixed docs, slides, spreadsheets. Synthesizes into a board-style summary with decisions, recommendations, appendix.
Reads the RFP plus internal source docs. Drafts section-by-section with evidence references. Returns submission-ready drafts.
Extracts rent roll and operating statements. Builds a 10-year cash flow with sensitivity analysis. Returns the full model.
Summarizes transcripts. Extracts action items, owners, due dates. Drafts the follow-up email and task list.
Clones the repo, maps the architecture, proposes a targeted debugging plan, suggests fixes with a test strategy.
Agents that touch real documents and real systems need real controls. Here is what that looks like.
Runs execute in a private sandbox per account. Nothing is used to train anyone's model. Delete a run and it's gone.
Plans, tool calls, file reads, URLs visited — all logged and exportable. Audit a run like you'd audit a junior.
Per-run and per-day budgets. Agents ask before crossing a ceiling. No surprise bills, no infinite loops.
Connect Drive, GitHub, or your data warehouse with read-only keys. Revoke from the dashboard at any time.
Flat monthly price. Fair-use runtime. No per-seat upsell until you genuinely have a team.