Use cases
Product

Where are two teams making conflicting decisions?

Two Decisions, overlapping scope, opposite polarity — caught before they ship.

Best for
Cross-team architecture reviews
Primitives
  • Decisions
  • Teams
  • Polarity
Side by side

Token Usage, with and without Sentra

~142k tokens saved75% less work for the agent

Without Sentra
~190k tokens
With Sentra
~48k tokens
Claude (without Sentra)
  1. Pull every meeting transcript and Slack thread from the last 60 days across all engineering and product teams.
  2. Read each to identify decision moments. Manually extract: team, scope (which systems touched), and polarity (for/against, build/skip).
  3. Cross-join every decision pair. For each pair, judge whether scopes overlap by re-reading both.
  4. For overlapping pairs, judge whether the polarities are mutually contradictory.
  5. Check whether each decision is still live — has anyone reversed it? Re-search for follow-ups.
  6. Identify the named owner on each side for resolution.
  7. Compose the list of live conflicts.
~190k tokens
Claude + Sentra
  1. Pull all Decisions from the last 60 days with extracted scope (Value Objects touched), team, and polarity.
  2. Cross-join: pairs where scopes overlap and polarities contradict.
  3. Filter to pairs where both are still live (no superseding Decision).
  4. Pull the named Actor on each side from Sentra's owner relation.
  5. Compose the conflicts list with suggested framing.
~48k tokens
Agent prompt
You are scanning for cross-team decision conflicts.

Using Sentra:

1. Pull every Decision made in the last 60 days, with Sentra's extracted scope (which Value Objects it touches), the originating team, and the polarity.
2. For each pair of Decisions whose scopes overlap, evaluate whether the polarities or implementations are mutually contradictory.
3. Surface only the conflicts where both Decisions are still live (neither has been superseded).

Output:

- A list of up to ten live conflicts, each: Decision A (team, date, statement), Decision B (team, date, statement), the overlap, and the practical contradiction.
- For each, the named Actor on each side who should be looped into a resolution conversation, and a one-line suggested framing.

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Subprocessors include Amazon Web Services, GitHub, Slack, Google Cloud Platform, and OpenAI.

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