Build AI assistants for internal team workflows
Dust helps teams create AI-powered assistants that answer internal questions, draft content, and analyze messy inputs like resumes or interview notes. The docs show it being used by HR and product teams for knowledge-based workflows that rely on company context.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric → Last re-evaluated 31 July 2026.
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What's happened with Dust lately
- Score changetriggered by newsAgenticness score 12 → 10 ↓12 → 10/36(-2)
- AMIIRI's 2025 industrial AI report spans eleven industries, its biggest study in 15 years.News
The American Industry and Innovation Research Institute released its flagship 2025 report on industrial AI readiness across U.S. middle-market firms. The study covers eleven industries and the group says it is its most comprehensive work in 15 years. For those tracking agentic AI, this matters because enterprise adoption often depends on whether companies are ready to plug autonomous systems into real operations. The standout detail is the planned expansion for 2026, which suggests the research effort is only getting broader.
via Markets Insider
- Score changetriggered by newsAgenticness score 8 → 12 ↑8 → 12/36(+4)
- Score changetriggered by newsAgenticness score 9 → 8 ↓9 → 8/36(-1)
- Score changeRubric upgrade v3_0 → v3.1: score 5/32 → 9/365 → 9/36(+4)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
See the news that prompted this
News mentions sourced from our news feed; score changes from periodic re-evaluations.
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About
Dust is an AI agent platform for teams that want to build internal tools around company knowledge and workflows. The documentation shows use cases for HR, recruiting, product, and design teams, where the system helps with tasks like policy Q&A,...
Dust looks useful when the task depends on organizational context and repeated document-heavy work. The strongest fit is for teams that want AI helpers embedded in internal processes, but it is not presented as a fully autonomous system that...
Executes tasks you assign, one step at a time, within narrow domains.
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When Dust changes its pricing, we catch it the next morning
We recrawl every tool in this directory daily. AI Insider is the 3-minute brief on what actually changed — pricing, features, score moves on our 36-point rubric — often before any press coverage. Sent daily. Skipped when nothing happened.