01
You spend the first 20 minutes of every AI session re-briefing ChatGPT on your product
Every session starts from zero. By the time the AI understands your context, half the meeting is over.
1Brain turns your docs, interviews, tickets, and notes into evidence-linked specs your engineering team can actually ship.
No credit card required
Trusted by teams working with
Context scattered, evidence missing, and specs that teams do not trust.
01
Every session starts from zero. By the time the AI understands your context, half the meeting is over.
02
Context is scattered across 7 tools. Decisions get made on vibes because the evidence is buried three tabs away.
03
Your engineering team pushes back because the spec cites nothing. You spend hours adding the evidence that should have been there from the start.
Connect your sources once. 1Brain remembers context and generates evidence-backed artifacts.
Upload documents or connect integrations to bring all product context into one workspace.
Talk to AI with selected sources and get grounded answers with evidence-linked citations.
Save strong outputs to Artifacts and continue refining decisions with your team.
Context memory
1Brain keeps roadmap decisions, prior artifacts, and source evidence in memory, so you do not restart from zero every session.
No re-briefing loop in daily PM work.
Session 1: Interview synthesis
Top pain: checkout confusion (8/10)
Session 2: Prioritization
Decision carried over: simplify payment step
Current session auto-loaded
Evidence-linked citations
When AI writes a PRD section, each factual statement is tied to your docs, notes, interviews, or tickets with traceable references.
Traceable evidence in every spec.
Retention dropped after onboarding step [1]
Payment confusion is top churn reason [2]
Interview synthesis
Upload transcripts or audio and get clustered themes with severity and supporting quotes, ready for planning and prioritization.
Theme clustering with evidence attached.
Spec-as-Code handoff
Generate structured acceptance criteria and task breakdowns, then hand off to Cursor, Lovable, and MCP-ready coding workflows.
Cursor-ready spec export.
Handoff ready for Cursor/Lovable via MCP
Pull context from existing PM systems and hand off specs to AI coding workflows.
Notion
Figma
Jira
Slack
Linear
Google Drive
Confluence
GitHub
Cursor
Lovable
VS Code
MCP
AI coding and model stack
All product names, logos, and brands are property of their respective owners. Use does not imply endorsement or affiliation.
General AI is strong for ad-hoc tasks. PM workflows need grounded context, structure, and traceability.
Feedback anonymized from closed beta participants.
PM · Early Access
“Our PMs ship specs in hours instead of days because context is finally centralized.”
Senior PM, B2B SaaS
★★★★★
PM · Early Access
“Interview synthesis used to take a full afternoon. Now it is done before standup.”
Head of Product, Marketplace
★★★★★
Founder · Early Access
“The persistent memory is a game changer. We stop re-briefing AI every session.”
Founder, B2B SaaS
★★★★★
Built with privacy and enterprise controls from day one.
Your prompts and data are processed through zero-retention APIs where providers do not train on your content.
Row Level Security isolates each workspace so only your members can access product data.
Sensitive fields are redacted before content is sent to AI providers.
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Choose the plan that matches your PM workflow volume.
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Join product teams writing evidence-backed specs in minutes, not days.