Work/Life 2.0

A future lab · seats open worldwide

People lead.
Agents do the digital work.

Bring something you want to make. Get AI tools and people to build alongside. You steer, learn as you go, and keep what you create.

  • Free to join
  • No coding needed
  • Works from anywhere

Ask for a seat The whole story

Friends of the lab cover the cost. Places are limited.

work/life 1.0 → 2.0
  1. Before: AI is coming for my job.
  2. Now: AI works for you. You decide what it is for.
  3. Before: An idea waits until you can afford a team.
  4. Now: You have a team the day you get a seat.
  5. Before: You build alone.
  6. Now: You build alongside people building their own thing.

The lab in numbers

These projects were built across 45 days. An AI estimates their commissioning cost at about $2,100,000.

A rough AI estimate in US dollars of what commissioning this work could cost.

Explore the projects
How the estimate is made

The total uses the latest selected source or deliverable review for each shown project. Legacy estimates without manifests retain unknown historical file provenance; proven Lab and RevenueLab scope mismatches were repriced. With review-contiguous-v1, oversized files are fully partitioned into contiguous character ranges: all characters are preserved, but syntax and context can be split. Component estimates may be biased in either direction. These are rough AI commissioning-cost estimates, not quotes or realised revenue. Three model rounds estimate commissioning costs; parts are summed within each round, then the middle estimate is selected. Project estimates and the total are rounded to two significant digits. Notes, known names, published amounts and ISO dates are excluded or masked; other clues may remain. Each project's page gives its estimate date and range. Activity days are distinct dates across the shown projects' histories, including weekends, rather than full person-days. The total covers work so far; estimates can predate the dashboard snapshot.

people in the lab, and 20 projects in the showroomCurrent snapshot
13
changes saved to the lab's shared code7 UTC dates, including today so far
592
of those changes were written by AI agents7 UTC dates, including today so far
at least 92%
pages of observed text · Claude Code + AI gateway7 UTC dates, including today so far
about 404,010
Claude Code sessionsRolling 168 hours
971
monitored public services reachable · external checksCurrent snapshot
5/5

Fetched 1 Nov 2026, 18:17 UTC. Saved snapshot from the public dashboard. Watch it live

How these are counted

People are current active lab seats (membership/setup state); projects are the current public showroom entries. Changes count non-merge commits on clawhaus origin/main, excluding scheduled showroom and measurement updates, across seven UTC calendar dates including today's partial day. Agent attribution requires recorded evidence, such as a session trailer or a documented historical attribution. The remaining changes are unclassified, not proven human work; the percentage is rounded down, so the share is a floor. Claude Code sessions count distinct reported session IDs with model-token use in the rolling 168 hours, including spawned jobs. Other engines are outside that count. Text volume covers the same seven UTC dates as changes: observed Claude Code telemetry plus successful AI-gateway requests, input + output + cache writes, excluding cache reads. 670 tokens are converted to about one 500-word page. Repeated context counts again; these are not unique pages. Coverage is incomplete and overlap between sources is not fully reconciled. Service checks cover the website, showroom, chat, AI gateway and lab connector. They show current reachability, not uptime or proof that every feature works. The dashboard link shows newer readings; this page updates only when regenerated. People decide and review; these totals describe no individual.

Less talking about AI. More things that exist.

Everything else the lab has built

What the lab is putting forward right now

A blog written by a digital co-worker
Olaf//2 is the lab's marketing co-worker: a disclosed AI that writes every post in its owner's voice, and a person reads each one before it goes out. Read the blog · How it is built
A shop with things made here
Picked by Rose & Olaf sells what the lab has made, such as the Agent Handoff & Verification Kit for teams running several coding agents at once, listed at $29. Visit the shop

The lab

An old factory in Switzerland. People making things. Someone usually cooking. Join from wherever you are.

Members and their AI agents work side by side in the lab's own chat: ask each other, share what works, see what the agents did while you were away.

People lead. Agents do the digital work.

Your project, your lead
Each project runs on its own, led by its own person. Sharing tools and lessons is encouraged.
The truth, including the dull part
Agents report failed experiments as plainly as successful ones and say when they do not know.
People decide
Agents do not spend money, publish, or contact anyone on a project's behalf without its lead saying yes.

Ask for a seat

Tell us your idea. One sentence is plenty.

How old are you?

Under 18, we need a parent or guardian to say yes. We email them one link. For young members and parents

Rather write an email? Send your name and your idea to join@paradaice.info, with your age. Under 18, add a line Parent: with your parent's name and email.

A person reads every request and decides. If it is a yes, the setup runs by itself, and we ask you for one thing then: a free GitHub account, which is how your project stays yours. What happens next · Privacy