Atarim
Visual collaboration and work management platform for web agencies, enabling point-and-click feedback, task management, and client approvals on live websites.
Atarim turns care plans into scheduled AI work and lets small fixes go live without approval.
◆Recent moves
- 8d ago
Atarim 5.1.5: build the care plan once, put every client on it
⚡ SPARKCare plans put the AI team on a fixed schedule across all client sites, and small live-page fixes no longer wait for approval. It moves the product from on-demand AI tasks to recurring service delivery, and pulls back from 5.1.4's draft-first rule for small edits.
- 22d ago
Atarim 5.1.4: your AI team proposes, you approve, from anywhere
Changes to live pages now arrive as drafts with a preview link and wait for human approval, extending 5.1.3's draft-first rule for new pages. Mobile and installable app support lets agencies approve from anywhere.
- 1mo ago
Atarim 5.1.3: the new Boards are here, with a clock on every stage
This is a re-publication of the 5.1.3 Boards release dated a day later; the content is the same. Boards with per-stage timers give agencies a view of where client work has stalled.
- 1mo ago
Atarim 5.1.3: the new Boards are here, with a clock on every stage
5.1.3 ships the rebuilt Boards: agencies define the stages their client work moves through and every project, page, or task shows how long it has sat in its current stage. It applies the V5 accountability theme to human workflow, not just the AI team.
- 1mo ago
Atarim 5.1.2: your experts' memory is now yours to read and edit
⚡ SPARKThe memory the AI experts have built since 5.1.0 is now readable and editable by the agency. It is the strongest move yet in Atarim's push to make its agents auditable rather than opaque.
- 2mo ago
Nothing says "done" unless it is done (5.1.1 and plugin 5.1.3)
Atarim hunted down four places where the product reported success without doing the work, from workflow steps to skipped monthly jobs and backups. It's a reliability release, but it directly supports the claim that the AI team's output can be trusted.