DoneDone vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
DoneDone keeps polishing its Kanban boards and shared-inbox workflows.
DoneDone is a task-tracking and shared-inbox tool, and its recent releases concentrate on board and mailbox usability: collapsible Kanban columns, new sort options, a Mailbox Kanban view, active-assignee filtering, and quieter activity feeds with actions hidden by default. Each is a focused, incremental UX improvement.
The direction is workflow refinement rather than expansion — reducing noise, giving users more control over how boards and inboxes are organized, and bringing Kanban patterns to the shared mailbox. It's the steady polish of an established tool tightening its day-to-day experience.
Expect continued board and mailbox UX refinement — more view, sort, and filtering controls — rather than a new capability area.
Hatz turns its MSP AI platform into an agent-composition and phone-automation system.
Hatz AI is an MSP-oriented AI workspace: a governed model selector plus agents, workflows, integrations, and AI phone agents, sold through managed-service-provider tenancy. Recent releases push hard on two fronts: making phone agents a real front-line call system (routing, warm transfer, caller memory, business hours, post-call workflows) and making agents composable inside workflows. Model breadth keeps expanding, with Sonnet 5 and seven new LLMs added to the selector.
The direction is from a chat-with-models tool toward an automation platform where saved agents are reusable building blocks and phone agents replace human triage. Governance is a throughline: role-based model, integration, and tool controls, tenant templates, and usage budgets all deepen the MSP multi-tenant control plane. Model selection is increasingly abstracted behind Auto-LLM.
Expect further phone-agent autonomy and more agent-as-step composition across workflows, with continued MSP governance controls and ongoing additions to the model roster.
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