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Workspace

People and agents. One workspace.

Share the work, the context, and the next step.

Keep assignments, decisions, documents, and reviews together so the next person can pick up the work.

Join the waitlistWatch a workflow complete

The work moves. The context falls behind.

The brief sits in one tool, the task in another, and an agent works on someone’s laptop. Decisions get lost in threads. Reviewers must find the history before they can judge the result.

Example — fictional team and data. Not a live run or customer result.

Launch Operations · AES / Board

10:11

Ready0
Nothing queued
In progress0
No active runs
Approval1
AES-179
PR

Transfer customer settlement funds

Held by policy · P-12 · $80,000

Waiting on Priya Raman · 10:03

Complete1
AES-184
MC

Ship the governed customer import

Accepted

customer-import-v1.0.0 · 10:11

Illustrative Meridian Freight board: AES-184 accepted, AES-179 waiting for review.

Give scattered work a clear finish line.

Before

Which version is accepted? Who reviewed it? Is approval complete?

  • Salesforce: requirement
  • Notion: brief v3?
  • Slack: decision, in a thread
  • GitHub: artifact
  • Manual follow-ups, duplicated review, status reconciliation

After

One acceptance record.

  • Requirement, brief, decision, and artifact on one task
  • Reviewed ✓ Approved ✓ Accepted ✓
  • Completed work, durable record

Open the work. Follow the changes.

The brief, draft, and history stay with the task. Open each artifact to inspect what changed.

Illustrative example

Refund cycle time

Draft

Customer update

Refund cycle time

Customer update

Accepted

Your refund is in progress. Your bank controls the final processing time. We will send an update when its status changes.

Noah asked the team to remove the date promise. The coding agent revised the draft; Maya accepted revision 2.

Keep the discussion with the task. Supported connections can bring updates from tools such as Slack; check each connection’s scope. Email and other channels depend on available integrations. Try the example. Changes stay in this demo.

One card carries the work.

  • People and agents on the same team

    Give each step a clear owner. Team members can follow agent updates and discuss changes beside the task.

  • Keep context ready for the next handoff

    Keep the brief, constraints, conversation, and latest outputs together. The next person or agent has a place to start without searching across threads.

  • Keep decisions with the task

    Discuss the topic, task, or project where it belongs. Use supported connections such as Slack when the conversation starts in another tool.

Example — fictional team and data. Not a live run or customer result.

Plan

Live
Launch Operations · Goal tree09:24
  1. GoalLaunch the governed customer importOn trackMCMaya Chen · 09:00
    33%
  2. ProjectCustomer data launch1 taskActive
  3. AES-184Ship the governed customer importIn progressClaude Code · implementing PR #184
ThreadPinned
AES-184 · Ship the governed customer import
MC
Maya Chen09:31

Can we ship without copying customer data into the staging report?

Claude Code09:33

Yes. The staging report now carries aggregate counts only. The raw export stays behind P-12 sign-off.

Decision recorded09:34

Use aggregate counts in staging.

AES-184 · P-12 · Claude Code

Review the result with its history attached.

  • Shared documents, fewer competing versions

    Keep drafts, specifications, code changes, and other outputs with the task. Review revisions and feedback where people and agents can find them.

  • Review against the original request

    A delivered result still needs review. See the brief, discussion, checks, and output together before you accept it or request changes.

Example — fictional team and data. Not a live run or customer result.

Review

Round 1
customer-data.ts+5−2rev 7
82 const report = createReport();
−report.rows = rows;
−report.export = exportRaw(rows);
83+report.count = rows.length;
84+report.byRegion = countBy(rows);
85+// raw export needs P-12 sign-off
86+report.export = null;
87+report.policy = "P-12";
88 return report;
  • Requirement · Staging reports carry aggregate counts, never raw customer rows.Satisfied
  • Tests passed · Aestus Review · 09:41

Historyspec rev 4diff rev 7review round 1

Follow one card from goal to acceptance.

An illustrative workflow shows people and agents adding to the same work record. Actual steps and timing depend on your process.

Example — fictional team and data. Not a live run or customer result.

One card, six steps

AES-184

  1. 09:00

    Goal set

    Brief attached

    MCMaya Chen

    PM connects the goal, brief, repo, and owner.

    Customer import goal briefReady

  2. 09:08

    Spec drafted

    Planning agent drafting spec

    Aestus Planning

    Planning agent drafts the spec; PM redirects scope.

    Governed customer import specIn progress

  3. 09:24

    Code written

    Coding agent implementing

    Claude Code

    Coding agent starts from the shared brief and asks for detail where needed.

    PR #184 · customer importIn progress

  4. 09:41

    Checks run

    Tests passed

    Aestus Review

    Tests run; the policy in force is recorded on the run.

    Import validation reportIn progress

  5. 10:03

    Reviewed & approved

    Held for approval

    PRPriya Raman

    Human gate · P-12

    Reviewer gets the diff, requirement, checks, and history.

    P-12 approval recordApproval

  6. 10:11

    Shipped & learned

    Accepted

    MCMaya Chen

    Outcome, cost, and acceptance are recorded for later comparison.

    customer-import-v1.0.0AcceptedComplete
09:00 → 10:11Illustrative workflow: 71 minutes from goal to acceptance. Your timing will vary.

Three places shared context may save effort.

  • Rebuilt context

    A shared brief and decision history can reduce the time spent explaining the same task again.

  • Review pileups

    Requirements and feedback in one place can help reviewers focus on the result.

  • Coordination drag

    A visible owner and next step can reduce follow-ups across tools.

Measure whether teamwork gets easier.

First-pass acceptance rate
The share of results accepted without another production pass.
Request-to-completion cycle time
Elapsed time from the request to a recorded acceptance decision.

We already have a tracker with AI features.

Keep your tracker. Aestus adds the run, artifact, policy, review, cost, and acceptance record needed when people and agents share the work.

Bring your team and agents to one workflow.

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