One workspace. Every team.
The same agents, approvals and audit trail, set up for the work your team does. Pick your team and see how JuhJuh works for you.
Ship more with the team you have. Keep the standard.
A JuhJuh ticket is a job an agent can start now. It moves through ten stages with a specialist agent on each step. A person approves the spec where your rules ask for it and decides every merge. Every ticket follows the same written standard, so more output doesn't mean more variance.
Ten stages, a person where it counts
Synced, Queued, Analyzing, Ready, Running, Review, PR Created, Verifying Pipeline, Deployed and Completed. On the board they group as To do, Working, Needs you, Done and Closed, so you see at a glance what is waiting on a person. Your rules decide which specs wait for approval, by type, size, priority and labels, per project or per ticket.
10 stages, a person on every mergeA team on every ticket
Eight specialist stages, from ticket writing and spec to change review and summary, each with its own agent on its own model. An advisor before work starts, a pair partner, a reviewer after each step and a final audit.
8 specialist stages per ticketAuto-Play
Auto-Play works through an epic's tickets in order and passes each result forward, so the third ticket builds on what the first two shipped. If a ticket fails, it pauses and shows the reason.
Epics run in order, results carried forwardInsights you can show
Throughput, cycle time, run success rate and AI cost on one page, next to the board, backlog, cycles, goals and roadmap.
Throughput, cycle time, success rate, costKeep Jira or Linear
Tickets sync both ways with Jira, and come in from Linear, chat, Slack and Teams intake, meetings or voice. Possible duplicates show up before you file. Any ticket can be run by people or by agents, and you can switch it either way.
Your tracker stays the system of recordReady for review in the morning
Work that arrives overnight is classified, prioritised and estimated, with suggested owners. Agents build on their own always-on computer. After every step, JuhJuh checks the code inside a running copy of your services that mirrors production, then runs your tests and fixes what fails. Every change arrives with a preview link and screenshots.
One always-on computer per projectThree engineers coordinate in threads for two days. The screens wait on the API. The type update is forgotten until the build fails, and the changes merge in the wrong order.
Auto-Play works through the epic in order and passes each result forward, so the screens are built against the API that actually shipped. Three pull requests, in order, each reviewed by a second model before a person merges.
It joins the backlog and waits for a sprint with room in it.
By Tuesday morning the agent has read the refund policy page, changed the rule, written the tests and opened a pull request. An engineer reviews it in ten minutes and merges it.
More shipped. Same standard.
Ten stages, a specialist on each step, and a person where it matters.
On our service, or inside your own boundary.
Most teams start on JuhJuh's hosted service. There is nothing to install, your teams are working within days, and we run, update and support it. A team that needs more control, or must keep sensitive data inside, self-hosts JuhJuh instead.
Hosted by JuhJuh
Sign in and connect your tools. We keep the service running, updated and supported, so your people spend their time on their own work.
Your organization gets a workspace of its own, and each organization sees only its own data. When an AI agent works, the prompts and files it needs go only to the AI model companies you allow, only to do the work, inside the regions you declare.
Self-hosted, inside your boundary
In your own cloud account (AWS, Google Cloud, Microsoft Azure or DigitalOcean) or on your own premises, connected or air-gapped, with open-weight models from the Mistral, DeepSeek, GLM and Kimi families running inside. Our engineers install it and tune it to your compliance obligations.
Your sensitive information, trade secrets and know-how never leave your boundary unless you connect an outside service or chat app, approve a website for your AI agents or approve sending them out. While your AI agents run only on your own models, no AI company receives them or trains a model on them.
Start hosted and move when you're ready: our engineers move your workspace across. Some companies run both, the hosted service for most teams and a self-hosted installation for the systems that must stay inside, and each installation is kept separate.
Go deeper into the platform.
All features
Chat, agents, Plan & Work, Views, Charms, the knowledge base and voice, in one workspace.
OpenSecurity
Approvals before anything consequential, four permission levels, and an audit trail of every agent action.
OpenAI agents
Colleagues that remember every person they work with and work within a budget they can't overspend.
OpenMore shipped. Same standard.
Ten stages, a specialist on each step, and a person where it matters.
