Private self-hosted beta
Turn scattered AI conversations into clear project decisions.
ReasonTrail is for people whose real work is split between ChatGPT, Claude, notes and half-finished project files. It keeps the evidence, reconstructs the project state and asks for review before changing anything important.
Local project memory
Evidence, decisions and next actions
Recovered projects
Customer portal launch
Needs decision
Next: Choose onboarding scope
Research assistant pilot
On track
Next: Run evidence review
Consulting offer validation
Blocked
Next: Resolve pricing contradiction
Evidence trail
- Chat excerpt: onboarding scope changed twice
- Note: launch date depends on billing decision
- Document: support process still undefined
Reasoning proposal
Test a smaller launch path before rebuilding the portal scope.
Confidence: medium · sources: 4
Review before changing the project
Approve a next action only after checking the evidence behind the proposal.
Your projects are spread across conversations, documents and unfinished ideas.
Important decisions disappear inside long AI chats.
Projects are started repeatedly without a reliable source of truth.
Summaries tell you what was said, but not what should be tested next.
The ReasonTrail workflow
From scattered conversations to a defensible next move.
Capture
Import or save conversations, pages, notes and project material.
Reconstruct
Identify probable projects, decisions, commitments and blockers.
Reason
Separate evidence, assumptions, contradictions, hypotheses and experiments.
Approve
Review, edit, accept or reject every proposed change.
Recover the real state of every project.
Reconstruct cross-conversation project status, stalled work, missing objectives, unresolved commitments and duplicated initiatives.
Recovered project state
Reviewable- Status
- Needs decision before implementation continues.
- Missing objective
- Success metric was discussed, but never accepted.
- Unresolved commitment
- Owner promised pricing answer after client call.
See the reason behind every recommendation.
Preserve evidence references, decision provenance, linked source conversations, confidence indicators and unsupported-fact warnings.
Evidence before action
Reviewable- Source
- Claude chat, May 8: onboarding scope changed twice.
- Confidence
- Medium: 4 sources agree, 1 contradicts billing timing.
- Warning
- Launch date appears unsupported by source material.
Turn assumptions into experiments.
Use Growth Engine observations, claims, contradictions, hypotheses and experiments to revise the next action.
Growth Engine loop
Reviewable- Observation
- Portal rebuild is blocked by scope uncertainty.
- Hypothesis
- A smaller pilot can ship if billing is excluded.
- Test plan
- Run a two-week manual billing pilot with 3 customers.
Find the work you have already started.
Run a project recovery audit to identify probable projects, missing next actions, unresolved commitments and duplicate initiatives.
Request private beta12
probable projects detected
5
active
3
without a next action
8
unresolved commitments
2
possible duplicates
1
contradictory decision chain
Ask a project a better question.
ReasonTrail shows evidence, assumptions, contradictions and proposed experiments before anything changes.
What is preventing this project from moving?
Review required- Evidence
- Three source conversations mention launch scope, but only one mentions support capacity.
- Assumption
- The launch is blocked by scope uncertainty rather than implementation effort.
- Contradiction
- One thread says billing is required; another says billing can wait.
- Hypothesis
- A limited pilot can move forward if billing is explicitly excluded.
- Experiment
- Define a pilot cohort and verify whether manual billing is acceptable for two weeks.
- Next action
- Ask the owner to approve or reject the limited pilot boundary.
Your project should survive a change of AI provider.
ReasonTrail provides continuity across tools while remaining the project system of record.
Save useful work before it disappears.
The planned ReasonTrail Capture extension will let you send selected web content and AI conversations directly to the correct project.
Selected project: Customer portal launch
Content preview, source URL, save to inbox, save to project.
Built for work you do not want scattered everywhere.
Who it is for
Technical founders
Recover what was decided across product, sales, investor and build conversations.
Independent consultants
Preserve client decisions, open commitments and the evidence behind recommendations.
IT and operations leaders
Track project blockers, duplicated work and unresolved implementation choices.
Product and research teams
Turn research notes and AI sessions into hypotheses, experiments and reviewable next actions.
Recover your projects. Understand what changed. Decide what happens next.
ReasonTrail is currently in private development.