The context layer for AI-native teams

AI-native teams run on Specify.

Every AI on your team works from the same context — your docs, decisions, and code, in one place.

Works inside the scope your team allows, and records results back in the workspace.

  • One context for every AI
  • Docs, decisions, code
  • Inside your guardrails
  • Humans review

Problem

Team knowledge does not live only in documents

The context teams need is scattered across documents, conversations, decisions, and code changes. The same questions repeat, and you re-explain the same background — to people and to AI — every time.

Documents and conversations split apart

Important explanations live in docs while actual decisions remain in chat, meetings, and code reviews without being connected.

Decision rationale disappears

To understand why something changed, teams have to dig through old threads, PRs, and documents again.

Recurring work piles onto one person

Context explanations, checklist cleanup, and status sharing keep returning to the same people.

Context memory

Specify remembers the context your team creates while working

It stores more than documents: decisions and workflow are organized into context Agent can use again.

Documents

Review specs, meeting notes, and operating docs together.

Conversations

Connect questions, answers, and collaboration flow to work context.

Decisions

Capture not only what was decided, but why it was decided.

Code context

Connect PRs, reasons for changes, and related work to results.

How it works

Delegate it, and your AI teammate handles it in the background

Specify Agent works inside the scope your team allows, then leaves the referenced context and results in the workspace.

  1. Step 1

    Connect your tools

    Connect the collaboration tools your team uses, and Agent references that context to work from the same background.

  2. Step 2

    Delegate the work

    Hand off time-consuming work like document cleanup, decision summaries, and recurring checklists to Agent.

  3. Step 3

    Progress in the background

    Long-running work stays as an Agent task instead of falling out of the workspace.

  4. Step 4

    Record the result

    Completed work, referenced context, and review items are recorded in the workspace.

Personal workspace

In a personal workspace, it works like an AI assistant that remembers you

When you work alone, it acts like a personal teammate that remembers your documents, decisions, and recurring work. It can organize tasks, recall previous context, and handle repeated cleanup.

  • Recall previous context
  • Delegate repeated cleanup
  • Keep work results in one place

Trust and control

It works inside the scope your team allows

Agent follows workspace permissions and task boundaries, and leaves progress and results where people can review them.

  • The team sets task scope and permissions
  • Progress and results stay in the workspace
  • People review work that needs approval

Questions you probably have.

Start your team's next teammate in Specify

Bring an AI agent into the workspace to remember documents, decisions, and code context while handling recurring work.