Molecule demo
Record why a candidate was deprioritised
Keep the reasoning behind each inclusion and exclusion with the programme.
The challenge
Rejected candidates get revisited because nobody recorded why they were dropped.
The scenario
A candidate rejected six months ago is proposed again, and nobody remembers the reason.
What goes in
- Candidate history
- Candidates considered and decisions taken.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “Why was this candidate dropped?”
- “What would change that decision?”
- “Which rejections rested on weak evidence?”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Record decisions
SourceLog inclusion and exclusion with the reasoning.
Bound the basis
AI-inferredNote how strong the evidence for each decision was.
What you get
The shape of what comes back — not a promised result.
Decision record
SourceCandidates with decisions, reasoning and evidence strength.
Why it matters
- No repeated work
- A past decision can be reviewed rather than redone.
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Want to try this with your own work?
Open Molecule and bring your own data. No signup is needed to read these demos.