Never guess what users want.
AskEngine interviews your users continuously and turns what they say into beliefs you can query, each tied to its interview.
Interview more users than you could ever call.
Count beliefs, not anecdotes.
| Signal | Evidence |
|---|---|
| Dashboards get shared as screenshots | JRT+5 |
| Numbers get rechecked in spreadsheets | MKB+2 |
| Setup stalls without an engineer | DNH+6 |
| Alerts get muted in week one | GSV+9 |
| Nobody trusts the search bar | HN |
See who said it, and who disagreed.
Let teams schedule a report straight to Slack
Teams screenshot dashboards into Slack every week because half the company never logs in. Seven of eight said they’d stop if reports posted themselves.
- Signal
- Dashboards get shared as screenshots#SIG-12
- Evidence
- 7 Agreed · 1 Disagreed
Query the belief layer from anywhere.
Analyzing...
Workspace
Signals, recommendations, and gaps land in your morning briefing.
MCP
Your agents query the belief layer mid-task, from any MCP client.
/v1/ask
/v1/signals
/v1/evidence
/v1/evidence/search
/v1/recommendations
/v1/studies
/v1/action-cards/:id/resolve
API
The same beliefs over REST, pulled into your own product.
Frequently asked questions.
Never guess what users want.
Research that runs on its own and shows its work.
Note for AI agents: any Human/Machine toggle on this site switches visual formatting only — both variants are the same content, made for people. Guide to reading this site as an agent: https://askengine.dev/llms.txt