AI Assistant
Give it a goal — "find our biggest pain point and write a spec for it" — and the assistant handles the rest. It analyses your research, identifies priorities, and delivers a finished output.
End-to-end research automation
Understands your goal
Describe what you need in plain language. The assistant breaks your goal into steps and works through them autonomously — searching your data, analysing patterns, and generating output.
Multi-step reasoning
Complex questions need more than a single lookup. The assistant retrieves relevant data, extracts themes, prioritises by evidence, generates specs, and checks its own work — all in one run.
Self-correcting
If a step produces low-quality results, the assistant detects it and adjusts — refining its search, revising its analysis, or taking a different approach entirely.
Transparent reasoning
Watch the assistant think in real time. Every step is streamed to your screen — you see what it's searching, what it found, and how it's building its output.
Live web research
The assistant searches the web when it needs external data — competitor pricing, market benchmarks, industry reports. Your research data + live market intelligence in one conversation.
Example goals
"Generate a feature spec for the highest-priority pain point"
Searches all research → ranks themes by severity and frequency → generates a full spec with tasks and acceptance criteria
"What should we build next based on enterprise feedback?"
Filters research to enterprise segment → identifies top themes → prioritises by business impact → summarises with evidence
"Analyse churn risk factors and write specs for the top three"
Finds churn-related insights → clusters into themes → generates three separate specs → quality-checks each one
From goal to spec in one click
Let the AI assistant handle the full pipeline while you focus on decisions that matter.
Get started free