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From a job to a signed-off result

One Jeddy. You give it jobs. It brings you the result.

Jeddy is your one assistant for work. It carries your context, uses its skills and sub-agents to do the job within explicit capabilities, approval rules, budgets, and placement, and brings you the decisions only you can make. Same Jeddy in the cloud or on your machine.

01

Give your Jeddy a job

Start with what you want finished, not a prompt you have to keep steering. A job has a title, an optional definition of done, and a priority. It can come from you, from your manager, or from a trigger.

  • Add it directly to Today when it matters now.
  • Leave it captured when it belongs later.
  • The job becomes the durable record for everything that follows.
02

Plan a deliberate Today

Today separates what is ready from work already in progress and work waiting on you. You keep priority; your Jeddy keeps the state visible.

  • Up next holds jobs ready for you or your Jeddy.
  • In progress shows what your Jeddy is working on now.
  • Waiting makes blocked work explicit instead of letting it disappear.
03

Your Jeddy does the work

Hand a job to your Jeddy and it picks the right sub-agent for it. The run is admitted against that sub-agent's published identity, skills, connectors, policy, and placement.

  • Cloud work executes through Jeddy Runtime today.
  • Private execution through Jeddy Host and Goose is early access.
  • A run cannot silently gain capabilities that its stored snapshot did not allow.
04

Make the decisions only you can make

The workroom keeps the job, your notes, status, and result together. When policy requires a human decision, the work waits visibly and the approval lands in Inbox.

  • Approve or refuse the requested action without taking over the run.
  • Blocked work stays attached to its job and waiting reason.
  • Workroom notes are part of your record; they are not injected into a run already underway.
05

Review the result and its evidence

Finished work moves to Done with its summary and the sub-agent that did it. Open the workroom to inspect the runtime evidence attached to a completed run, then record whether the result was useful.

  • Completed work can show runtime-event and tool-call counts.
  • Useful or not-yet feedback stays with the job.
  • A completed job can be proposed as reusable context for review.
One assistant, not a roster

You talk to one Jeddy. It has skills, apps, and sub-agents.

You never manage a bench. Your Jeddy knows how to do things (skills), repeats the jobs you give it often (apps), and dispatches bounded workers when a job calls for one (sub-agents). Each sub-agent has a published identity, immutable revisions, and an approval posture of its own.

Skills · what it knows

Versioned, reusable, with the connectors, approvals, and forbidden actions they need.

Apps · what it repeats

A job packaged with its skills, connections, and approval posture, run on demand or on a trigger.

Sub-agents · who does it

Bounded workers your Jeddy picks for a job, each with a placement you chose.

Teams

Everyone keeps their own Jeddy. The team gets one too.

A leader assigns jobs to people, not to their Jeddys. The person's Jeddy does the work and the person signs off. The team shares skills, sub-agents, model policy, budgets, and evidence, and the leader sees outcomes rather than private context.

Clear execution boundaries

Your Jeddy governs the work. Each system keeps its own truth.

Your Jeddy owns your work record. Its sub-agents execute in their chosen runtime. Connected apps remain authoritative for their projects, messages, documents, and transactions.

Your Jeddy · work record

Priority, Today, workroom context, Inbox decisions, results, and usefulness.

Runtime or Host · execution

Attempts, checkpoints, tool calls, usage, and evidence for the selected lane.

Connected apps · domain truth

The source application remains authoritative for every accepted business change.

Ready to hand your Jeddy its first job?

Start with Solo. Bring your own provider when you need it.

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