Coform is not a chatbot. It is a multi-agent system that helps founders understand, align, discuss, decide, commit, and revisit — without ever standing between them.
Principle
Invisible
Users experience intelligence — not an interface to AI.
Principle
Specialized
Seven agents with one responsibility each — not one model doing everything.
Principle
Explainable
Every recommendation carries its reasoning. No black box.
Alignment pipeline
How intelligence moves through a session
Each stage hands off to the next. Every arrow is a place where a specialized agent contributes — never the whole model.
Every agent reads from and writes to shared organizational memory. Forward hand-offs run around the ring; the graph runs through the center.
Insight taxonomy
Eight kinds of insight
Shared beliefs
The quiet foundation the team already agrees on.
Hidden assumptions
What everyone thinks is settled — but never was said.
Different expectations
Where the team is out of sync without knowing it.
Confidence gaps
Answers given with low conviction, worth revisiting.
Missing agreements
Decisions that have been made in practice but never in words.
Emerging themes
Patterns across responses that hint at something structural.
Future risks
Places where today's alignment could quietly break tomorrow.
Suggested conversations
What the workshop should probably start with.
Insight schema
Every insight carries the same fields
01Summary
02Evidence
03Why it matters
04Suggested discussion
05Potential agreement
06Review recommendation
Decision intelligence
Every agreement answers seven questions
01Why was this decision made?
02Who agreed?
03When?
04What assumptions supported it?
05When should it be reviewed?
06What workshop produced it?
07What changed since then?
Memory graph
Nodes and edges
The organizational graph future agents will query. Nothing is stored as a transcript — everything is stored as relationships between the things the team decided.
Three participants expressed uncertainty on capital strategy.
Two conflicting assumptions about dilution tolerance.
One unresolved agreement from the Q2 workshop.
Recommendation Agent · reading from Memory + Insight
Alignment evolution
What Memory notices over time
Leadership clarity improved across the last two sessions.
Communication expectations remained stable.
Fundraising philosophy shifted after Series A.
Decision ownership became more decentralized.
Privacy model
Designed around trust
Every agent inherits the same operating boundaries. These are product-level guarantees — not prompt suggestions.
Never
Reveal private reflections
Never
Quote one founder to another
Never
Take sides
Never
Infer personality
Never
Diagnose people
Never
Rank participants
Always
Always synthesize across the team
Always
Always explain why a recommendation appeared
Always
Always preserve authorship of agreements
Developer ready
Each agent can become any of these
The architecture is intentionally decoupled. Today the agents share a runtime; tomorrow any one of them can graduate into an independent surface without changing how the rest of Coform feels.