The problem
One chatbot can only do so much.
A single assistant answers questions. Give it real work and you get a confident wall of text —
Turn this week's work order into the printed ad, laid out like last week's.
- GenericIt doesn't know your business, your data, or your systems.
- UnsourcedNothing checked, nothing cited — plausible isn't the same as true.
- InertIt can't open your files, set the pages, or produce the document.
How it works
You describe the work. auramind drafts the agent, runs it on your data with real tools, and shows you what came back before anything is saved.
One box.No setup.
This is the whole product surface.
No canvas, no node graph, no YAML. You describe the work in the same box you would ask a question in, and what comes back is a working agent.
Ask for itin plain words.
Add a file or a tool if it needs one.
Attach a spreadsheet or a document and it reads them. Connect GitHub, HubSpot, Notion or Slack and it can act in them. Neither is needed to start.
It draftsthe agent.
A job, a model, the tools it needs.
It writes the instructions, picks the model, and grants only the tools this job needs. Every part of that is yours to edit before anything saves.
It runs thereal tools.
Every step, and what it returned.
The test run is a real run against your real data, not a preview. Each call is recorded with what it returned, so you can see how it got there.
Real output,before you commit.
From your data. Not a mock-up.
You judge the finished file, not a description of one. Nothing has been created yet, so a result you do not want costs a click and nothing more.
Then it's yours,on a schedule.
Reusable, schedulable, shareable.
Keep it and it runs on a schedule, on a webhook, or whenever you ask. Share it with your team, and every run it makes is traced like this one.
Good morning.
What should we get done?
Ask anything, or attach a file to start.
AutoBuild an agent that turns this spreadsheet into an ad like the PDF. Test it before you create it.
Here’s the agent. I’ll test it on your file before creating it.
How it works
You describe the work. auramind drafts the agent, runs it on your data with real tools, and shows you what came back before anything is saved.
One box.No setup.
This is the whole product surface.
No canvas, no node graph, no YAML. You describe the work in the same box you would ask a question in, and what comes back is a working agent.
Good morning.
What should we get done?
Ask anything, or attach a file to start.
AutoAsk for itin plain words.
Add a file or a tool if it needs one.
Attach a spreadsheet or a document and it reads them. Connect GitHub, HubSpot, Notion or Slack and it can act in them. Neither is needed to start.
Good morning.
What should we get done?
Build an agent that turns this spreadsheet into an ad like the PDF. Test it before you create it.
AutoIt draftsthe agent.
A job, a model, the tools it needs.
It writes the instructions, picks the model, and grants only the tools this job needs. Every part of that is yours to edit before anything saves.
Build an agent that turns this spreadsheet into an ad like the PDF. Test it before you create it.
Here’s the agent. I’ll test it on your file before creating it.
It runs thereal tools.
Every step, and what it returned.
The test run is a real run against your real data, not a preview. Each call is recorded with what it returned, so you can see how it got there.
Real output,before you commit.
From your data. Not a mock-up.
You judge the finished file, not a description of one. Nothing has been created yet, so a result you do not want costs a click and nothing more.
Then it's yours,on a schedule.
Reusable, schedulable, shareable.
Keep it and it runs on a schedule, on a webhook, or whenever you ask. Share it with your team, and every run it makes is traced like this one.
Real runs
It keeps going until it's done.
Think, act, observe, repeat — until the work is done. Every call recorded, every tool named: runs from the product, not diagrams.
What you can build
Inbox triage
@inbox-triageSorts the day's unread mail and says what actually needs a reply, and what can wait.
GmailClinical reference
@clinical-referenceAnswers dosing and interaction questions from your own guidelines, citing every source.
DocumentsContract reviewer
@contract-reviewerSurfaces the clauses and obligations that matter from every contract in the index.
Finance analyst
@finance-analystReads your structured files and answers revenue and cost questions with the figures cited.
Files
WebRelease notes
@release-notesReads merged pull requests, groups them into features and fixes, publishes the page.
GitHub
NotionAccount researcher
@account-researcherBuilds a company brief from firmographics and live web research before the call.
HubSpotPrice watch
@price-watchChecks a supplier page each morning and messages you only when something changed.
SlackWeekly circular
@weekly-circularReads the work order, sets the pages, returns a print-ready file every Monday.
CodeCreate your own
Describe the job in a sentence. Yours can be running before you know it.
Start free →Integrations
Ten connectors, on every plan.
Connect them with your own account, or register any MCP server you already run — every agent can use it the same way.
- GitHub
- Notion
- Linear
- HubSpot
- Gmail
- Google Drive
- Google Calendar
- Cloudflare
- Apollo
- Clay
More connectors are on the way. The list above is what ships today.
Model routing
- Route across providers
- Or let auramind pick
- Carries on when one fails mid-run
- No lock-in to a single vendor
Isolation and access
- Fail-closed tenant isolation
- Per-tenant vector namespaces
- Tag-based document access
- Owner, admin and member roles
Guardrails
- Evals and traces
- Loop and stall guards
- Sandboxed code execution
