One agent for everything
Chat, research, write, analyse, design and build — in a single notebook that actually does the work, not just talks about it.
JAAWAC is not just another tool.
It's your co-pilot for everything.
Think.
Create.
Accomplish.All on one page.
A new kind of AI workspace. One agent that books the flight, drafts the plan, builds the deck in your brand — and ticks every task off the page while you watch.
Loved by the people who build
AWWWARDS HonourableProduct Hunt #1 of the dayCSSDA Special kudos
The product
What makes JAAWAC different?
Not a chatbot with plugins. An agent that plans, works, and shows you the finished thing.
Watch it work
Every task ticks off the page in real time. You see the plan form, the steps run, and the finished thing appear on the facing page.
Context that stays found
JAAWAC remembers what matters, links ideas across sessions, and learns your workflows so it gets cheaper and faster over time.
Beautiful by design
A workspace that feels like a living field journal — warm paper and ink, not another glowing dashboard.
Use cases
One notebook, every kind of work
Ship a website by lunch
Describe it once. JAAWAC designs it, writes it, generates the imagery, and renders it live on the page — then hands you the files in a zip.
Turn a question into a brief
It reads across the web, reasons over the sources, and writes you a structured answer with the reasoning kept, not thrown away.
Set it and forget it
Schedule the agent to run on its own — morning digests, weekly reports, a browser job at 6am — and wake up to it done.
Pricing
Pay for what the agent does
Tokens, not surprises. Start free — upgrade when the page is doing real work for you.
Free
To try the page- Daily token allowance
- Chat + single-step tasks
- Community support
$24/mo
For people who ship- Generous token pool
- Full agent: build, browse, schedule
- Live previews + file exports
- Priority models
Custom
For teams & self-host- Run on your own infra
- Your models, your data, air-gapped
- SSO + audit export
- Dedicated support
From the journal
Notes in the margin
Why we built JAAWAC on paper
Most AI tools feel like a terminal wearing a costume. We wanted something that feels like thinking.
Read the noteThe learning loop
Every successful run is remembered. The agent that re-pays the model on every run loses to the one that learns its way out of token spend.
Read the noteOne agent, many hands
A manager that plans and workers that build — bounded, verifiable, and always showing its work.
Read the noteStart your notebook
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