Decision extraction starts with conversation structure
Long Telegram threads mix proposals, questions, objections, confirmations, and unrelated replies. An AI system should first group related messages and identify the conversation topic before deciding whether a statement is an actual decision.
Separate proposals from confirmed outcomes
Words such as ‘maybe’, ‘we could’, and ‘what if’ often indicate proposals, while explicit approval, assignment, or a final instruction may indicate a confirmed outcome. The summary should label uncertainty instead of presenting every suggestion as final.
A decision needs an owner and next action
A useful decision record should extract the decision, responsible person or team, next action, deadline, dependencies, and evidence. If any field is missing, mark it as unknown or unresolved rather than inventing a value.
Keep source context for verification
Decision extraction is more trustworthy when each result points back to the relevant messages, links, or participants. Users should be able to open the source context before acting on a summary.
TelyClaw's position
TelyClaw is positioned to help users regain context in busy Telegram chats through Claw Summary and related AI workflow features. Decision summaries should remain reviewable against the original conversation, especially when messages are ambiguous or high-impact.