JuhJuh vs Hand-run agents
A shared standard, not a personal habit. Your team already runs AI agents from the terminal. JuhJuh gives every run the same rules, the same review and a record of what it cost.
TL;DR
- Instructions: Templates by ticket type and five rule levels, applied to every run
- Safety: 5 safety gates, and a person decides every merge
- Cost: Every run records which agent and model did each stage and what it cost
- Knowledge: A shared knowledge base, read first and written back to
How JuhJuh compares to Hand-run agents.
| Dimension | JuhJuh | Hand-run agents |
|---|---|---|
| Instructions | Templates by ticket type and five rule levels, applied to every run | Copy and paste, or memory |
| Safety | 5 safety gates, and a person decides every merge | Each developer's discipline |
| Cost | Every run records which agent and model did each stage and what it cost | A monthly bill with no attribution |
| Knowledge | A shared knowledge base, read first and written back to | One instructions file per repository |
| History | Every state change logged with who made it and why | Terminal scrollback |
| Where it runs | An isolated branch per ticket on the agents' own computer | The developer's laptop |
| Team visibility | Every run visible in the ticket and the thread | Ask the developer |
| Unattended work | Schedules, webhooks and Auto-Play through an epic | Manual one-off runs |
| Integrations | 200+ ready-made connections across 23 categories | An API key per tool |
| Deployments | One-step rollback and a vault per environment | Custom scripts |
What changes when the work moves to JuhJuh.
The model families your team runs by hand run inside JuhJuh too, with the rules, the review, the cost and the audit trail attached to every run.
- A person approves anything consequential, and code never merges on its own.
- Every reply is priced to the token and billed to the workspace that asked.
- 200+ ready-made connections across 23 categories.
Ask
Ask in a channel or file a ticket. The right agent picks it up and hands back the work.
Stay safe
Work runs on the agents' own computer, and anything consequential waits for a one-tap approval.
Remember
Agents read the knowledge base first and write back what they learned.
See it all
Every run shows what it cost, and every agent action lands in the audit trail.
We publish what isn't ready.
Every one of our 86 features carries a maturity level: 53 stable, 31 preview, 2 experimental. No comparison table is worth much if the other column is aspirational, so ours isn't.
Ask in a channel. Get the work back.
One standard. 5 safety gates. Every run costed to the token.
