Blog
Notes from the Atur team
Claude as a project management frontend: what an MCP tracker changes
Point Claude at your tracker through MCP and it stops being a chat window — it files, updates, and closes work with the same states your team uses.
Atur vs Asana: one workspace instead of an assembled one
Asana organizes any kind of work with forms, portfolios, and automation. Atur is narrower — projects, support, CRM, time — and integrates agents into all of it.
AI ticket triage: draft, label, and route without losing the thread
AI triage works when the agent drafts and files but a human sends. Labels and routing are cheap to automate; judgment and tone are not.
AI sprint planning: draft the cycle, keep the human veto
An agent can propose a cycle from your backlog in seconds — capacity, themes, risks. The judgment about what matters stays human; the assembly was never the job.
AI standup notes, written from the board instead of memory
An agent that reads your tracker can write the standup — what moved, what is stuck, what needs a decision. The human meeting is for the third one.
Release notes from done issues: let an agent draft the changelog
Changelogs stall because writing them is nobody's job. An agent reading the Done column drafts user-facing notes from real issues; a human edits tone, not facts.
Project Management for AI Agent Crews
Project management for AI agent crews needs evidence on every issue, per-agent usage KPIs, and MCP access. That is what Atur is built for; here is the daily loop.
Let an agent run your whole operation — not just the tracker
Most AI agents are limited to one app's API. Atur's MCP server spans issues, tickets, deals, and time — so one agent can follow a customer through the entire workflow.
Atur vs ClickUp: templates on a task store, or a connected workspace
ClickUp bundles many apps into one subscription. Atur connects the data model underneath — tickets, deals, issues, docs, and time linked in one graph.
Atur vs monday.com: per-seat polish, or a flat-price workspace that connects
monday.com has polish and native CRM-project convergence. Atur counters on flat pricing and the connected data model small teams actually get out of the box.
How Atur is built: one Bun monorepo, Astro, and a Cloudflare Worker
The whole product is two apps in one Bun-workspaces repo: a static Astro marketing site and a Hono worker on Cloudflare that serves the API, the SPA, and the MCP server from one origin.
Atur vs Jira: when a smaller tracker is the right call
Atur and Jira solve different scales. Jira wins on enterprise depth; Atur wins on setup speed, built-in CRM and MCP, and flat $9/$29 pricing.
Atur vs Linear: issue tracking plus the rest of the operation
Linear stays sharper as a pure issue tracker. Atur is for teams juggling issues, support, CRM, and timesheets in one workspace instead of many.
Atur vs Notion: documents vs a real operational workspace
Notion wins on docs and publishing. Atur trades flexibility for real operational structure — workflows, pipelines, time entries, and states.
MCP for project management: AI agents in your tracker
MCP lets AI agents act on your tracker, not just read it. Triage inboxes, write release notes, and answer what-is-blocked — practical uses today.
Why team wikis die (and how to keep yours alive)
Wikis die from orphans and decay, not good intentions. Backlinks, a knowledge graph, and docs next to the work keep a wiki useful long enough to matter.
How to close the customer feedback loop
Closing feedback means more than listening. Collect, triage, route, act, then tell customers what changed — the skipped step that builds trust.
How many stages should a sales pipeline have?
Four to seven stages, each with clear exit criteria, beats both bloated funnels and lazy pipelines. Audit aging deals and stage history.
Tracking billable hours without hating your timesheet
Friday-memory timesheets overbill some projects and underbill others. Contemporaneous logging, increments, and project-level reports fix it.
Helpdesk metrics that matter (and two that mislead)
Not all helpdesk metrics are equal. First response time and CSAT drive outcomes, while ticket counts and handle time can mislead small teams into busy work.
WIP limits: the kanban habit that keeps work moving
Work-in-progress limits sound restrictive, but they are how teams finish faster. A practical guide to setting, enforcing, and tuning WIP limits on a kanban board.
Shared inbox vs ticketing system: when to switch
Shared inbox works for two people. Beyond that, missing states, SLAs, and per-customer history cause collisions and missed deadlines.
Why we built Atur
The story behind the all-in-one workspace: issues, support, CRM, and timesheets in one place.