Manual prompts
Rewrite context for every agent.
Pawsly for AI native engineering teams
Your AI teammate for engineering coordination
We’re building an AI teammate that plans work, shares context, and keeps your coding agents aligned.
Early prototype. Now inviting design partners.
The work around the work
More agents. More coordination for you.
You become the coordinator.
Manual context sharing
Carry decisions between sessions.
Babysitting agents
Chase progress and blockers.
Context loss
Repeat what was already agreed.
Manual planning
Keep tasks and dependencies current.
Conflict repair
Repair changes that don’t fit.
Incompatible implementations
A decision reaches only one agent
Every handoff comes back to you
Meet your coordination teammate
One teammate. A shared plan.
Concept illustrations of the prototype we’re building.
01 · Connect your tools
Discussion → plan → code. Pawsly connects the decisions between them.
02 · Plan together. Work in parallel.
You set direction. Pawsly coordinates. Agents build. You review.
1Set
2Prepare
3Agents
4Coordinate
5Verify
6Review
You
PawslyAgents
Set outcome
Describe what should be true when the work is done.
Prepare team
Drafts roles, milestones and dependencies, and gives each agent its context.
Agents work
Claude Code and Codex build in parallel on their own branches.
Coordinate
Relays changes and decisions between agents, and holds work that would conflict.
Verify
A coding agent checks the combined work against the outcome.
Review and merge
You review the pull request in GitHub and merge it.
Your tools
SlackLinearGitHub
Source of truth. Pawsly reads the Slack channels, Linear teams and GitHub repos you connect, and keeps the most recent decision when older ones are superseded.
↺ coordination loop, repeats until done
What Pawsly does at each step
Understands and identifies work
Connect decisions to work. Ask when intent is unclear.
Plans and starts work
Define roles, milestones, dependencies, and checks within agreed scope.
Communicates proactively
Bring blockers to you. Share your direction with affected agents.
Replans and coordinates changes
Update tasks, relay context and commits, and keep independent work moving.
Checks commitments
Check against the plan. Return incomplete work. You review the result.
03 · Keep shared context
Current decisions, dependencies, and evidence—not another isolated chat.
What Pawsly tracks
Decisions
What was agreed, and who has it.
Dependencies
Which work builds on which.
Evidence
What is actually done and tested.
Pawsly
Checks every agent step against the shared context
Agent actions
Continue
Nothing has changed. Keep going.
Get an update
A decision or API moved. Rebase first.
You step in
A call only a person can make.
04 · Make handoffs explicit
Share scope, context, and prerequisite code. Check before calling work done.
See the concepts in the product
See it in the demo
Explore the read-only Calendar V1 workflow.
Start with Sources
Work items and the decisions behind them.
Explore sample sources →See roles and milestones
Roles, milestones, dependencies, and a final verifier.
Open the Calendar V1 plan →Follow the handoffs
Context handoffs, dependency holds, and verification. Milestone history is in Plan.
Follow sample coordination →Read-only, fictional sample data. No agents run here, edits are disabled. Agent transcripts are not retained.
You steer. Pawsly follows through.
You steer. Pawsly follows through.
You own direction and review. Pawsly coordinates within your scope and asks when judgment is needed.
Can I keep using Claude Code and Codex?
Yes. The prototype uses Claude Code and Codex.
Does Pawsly act automatically?
Within agreed scope. You can change the plan or step in.
What happens when context is lost?
Shared decisions, status, and commitments help sessions resume.
Team
The people building Pawsly.
June
Co-founder · Product Founder
Product designer.
James
Co-founder · Technical founder
Full-stack engineer.
Build with a coordination teammate
Help shape Pawsly. Join us as a design partner.