Not a chat thread.
A pipeline that runs itself.
Most AI tools answer one question and stop. A KAWAI workflow is a fixed sequence of specialists that runs start to finish — each one reading the previous one's output, each one writing its own report, and a final writer merging them into a single deliverable you can export.
Why a pipeline beats a prompt
The difference is not a longer answer. It is that the order of the work is decided in advance, every stage is inspectable, and the run is reproducible.
The order is fixed
Nobody is deciding what to do next mid-run. The stage sequence, the data each stage reads, and the report each stage writes are declared up front — so two runs on the same input follow the same path.
Every stage is inspectable
Each specialist writes its own report and shows up by name in the run's progress rail. You read the technical analyst's numbers and the bear case separately — they are not averaged away into one paragraph.
Missing data says so
When a source is unreachable, the stage runs without it and the report marks it unavailable. Figures are never invented to fill a gap — a wrong number is worse than an acknowledged hole.
The workflows
Three pipelines today. Each one shows its full stage list before you run it.
Analysis Desk
A full research desk on one ticker: four analysts in parallel, a bull-versus-bear debate, a trading proposal, a three-way risk debate, and a final decision card.
- → Stocks · Crypto · Commodities · Forex
- → Up to 13 stages, 6 waves
- → Buy / Overweight / Hold / Underweight / Sell
YouTube Summary
Paste a link. The transcript is split into balanced parts, read in parallel, then merged into one structured brief with real timestamps and verbatim quotes.
- → 5 fixed sections, always in order
- → Timestamps and quotes kept verbatim
- → One failed part never kills the run
Futures Risk Audit
Reads your live Binance futures positions and resting orders, grades every stop against current market structure, and tells you what is unprotected.
- → Read-only — never places an order
- → missing / ok / tighten / loosen verdict
- → Naked positions and naked notional
One engine behind all three
The three pipelines are not three products bolted together. They share a single execution engine, so anything the engine can do, every workflow can do.
That is why a summarization run and a 13-stage trading desk look and behave the same way once they start.
Try it on your own data arrow_forwardLive progress rail
Named stages, real durations, failures shown where they happen.
Per-agent reports
Switch between the individual specialist reports behind the summary.
Export & translate
Take the finished deliverable out as PDF or DOCX, or render it in another language.
Runs you can build on
Every run is kept. A follow-up reads the previous outputs instead of starting over.
There is no chat surface
Kawai deliberately has no message box to type into. You pick a workflow, fill in its inputs, and watch it work. That constraint is the product: it is why a run is reproducible, why every intermediate output is readable, and why the same pipeline gives you the same shape of answer every time.
If you have used an AI assistant for this kind of work, the difference is the part you can audit.
Run one on your own data
Pick a ticker, paste a video link, or audit your positions. The stage list is visible before you commit to anything.