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Dust

Agenticness8/36·Guided Assistant

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.

Paid
Chrome Extension
B2B
No-Code
RAG
Copilot (Human-in-Loop)
For Teams
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Recent activity

What's happened with Dust lately

  • Score change
    triggered by news
    Agenticness score 9 → 8 ↓9 → 8/36(-1)

    Score re-evaluated after: ASRock Industrial will demo Agentic Robot101 at COMPUTEX Taipei 2026 from June 2 to June 5.

    See the news that prompted this
  • News
    ASRock Industrial will demo Agentic Robot101 at COMPUTEX Taipei 2026 from June 2 to June 5.

    ASRock Industrial says it will appear at COMPUTEX Taipei 2026 and show live demos from June 2 to June 5. The company plans to highlight agentic AI, physical AI, cybersecurity, and open automation across its industrial platforms and embedded systems. For those tracking agentic AI product launches, this signals edge vendors are moving from concept to showroom demos with operational use cases. The most notable detail is the named Robot101 product, which suggests a more concrete push into autonomous industrial workflows.

    via Embedded Computing Design

  • Score change
    Rubric 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

What It Is

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,...

What to Know

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...

Key Features
Answers common HR and policy questions from internal knowledge
Coaches managers on written feedback and quality review
Drafts job descriptions from notes, templates, and examples
Scans CVs to extract structured data and generate screening questions
Organizes, corrects, and translates interview notes
Use Cases
HR teams answering recurring policy and process questions
Recruiters screening resumes and generating tailored interview questions
Hiring managers refining feedback and interview notes
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: May 30, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety
How agenticness works →

Categories

HR & Operations
Pricing

Pricing not publicly available.

Details
dust.tt
AddedMarch 26, 2026
RefreshedMarch 28, 2026
Agenticness
Guided Assistant
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportMulti-model
Open sourceNo
Team supportSmall team
Pricing modelSubscription
Interfaceweb, api
Sources
Web👥 Recruiting & People
WebDocumentation
WebDust on PyPI
Last updated May 30, 2026
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