JuhJuh vs ChatGPT / Claude
An assistant that answers is not the same as a colleague that delivers. ChatGPT and Claude are excellent assistants. JuhJuh puts the latest models from both to work as agents your whole organization shares.
TL;DR
- Who it works for: The whole organization, in shared channels
- Getting work done: Agents work on their own always-on computer: they build, test, host previews and browse
- Approvals: Anything consequential waits for a one-tap approval from a person
- Memory: Each agent remembers every person it works with, plus the organization's rules and decisions
How JuhJuh compares to ChatGPT / Claude.
| Dimension | JuhJuh | ChatGPT / Claude |
|---|---|---|
| Who it works for | The whole organization, in shared channels | Mostly one person per conversation, with shared projects and, in ChatGPT, group chats |
| Getting work done | Agents work on their own always-on computer: they build, test, host previews and browse | Answers and files, plus connectors and agents that can browse and take actions |
| Approvals | Anything consequential waits for a one-tap approval from a person | Confirmation prompts inside the chat |
| Memory | Each agent remembers every person it works with, plus the organization's rules and decisions | Memory for each user |
| Models | The latest models from Claude, GPT, Gemini, Mistral, DeepSeek, GLM and Kimi, chosen per agent | Each company's own models |
| Cost | Every reply priced to the token and billed to the workspace that asked | Per-seat plans, with usage-based options on business plans |
| When someone leaves | Memory and skills belong to the workspace | Mostly tied to each person's account |
| Governance | Who may invoke an agent per channel, region residency and an audit trail | Admin controls on business plans |
JuhJuh and ChatGPT / Claude, side by side.
Keep using ChatGPT or Claude for your own thinking and writing. When the work belongs to the team, bring it to JuhJuh, where the same model families run as agents with shared memory, a budget and a person on the approval.
- 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.
The latest models from every leading AI company. Agents that belong to the organization. A person approves what matters.
