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JuhJuh vs Retool

Never build an admin panel again. Retool gives builders AI app generation, components and code to make internal apps. Views gives everyone a live page over the data, with an agent on top.

TL;DR

  • Getting started: Connect a system or give it a URL, describe what you want to see, and Views proposes the page
  • Who builds it: Whoever owns the data
  • Acting on the data: Ask answers questions about the page, then Act does the work through that system's own connection after a one-tap approval
  • Safety: Views never changes your systems on its own, and guests can look but not act
Feature by feature

How JuhJuh compares to Retool.

Feature comparison between JuhJuh and Retool
Dimension JuhJuh Retool
Getting started Connect a system or give it a URL, describe what you want to see, and Views proposes the page Describe an app for AI to generate, or build it with components, queries and code
Who builds it Whoever owns the data Developers, and business teams through AI app generation
Acting on the data Ask answers questions about the page, then Act does the work through that system's own connection after a one-tap approval Buttons and actions you wire up
Safety Views never changes your systems on its own, and guests can look but not act Permissions you configure per app
Layouts Eight: table, map, board, timeline, calendar, gallery, dashboard and live feed A large component library for custom screens
Joining systems Records from different systems line up on a shared email address or domain Joins in the queries you write
AI columns Answer a question for every row and keep the answers current AI features you build into the app
Watching A watcher checks each new row and starts a Charm when it matches Workflows you build separately
Record pages Every record gets a page with a timeline, related records, files, a map and stats Detail screens you design
Works with Retool

Keep what works. Add agents that deliver.

Retool fits a bespoke app with its own logic and screens. Views fits the day you need to see the data and act on it without building anything. Plenty of teams will want both.

  • 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.

Also compare
Before you decide

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.

See what's stable

Ask in a channel. Get the work back.

Eight layouts. Joins across systems. An agent that acts after a one-tap approval.

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