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DinoDS spotlights assistant routing gap
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REDDIT · REDDIT// 4d agoPRODUCT UPDATE

DinoDS spotlights assistant routing gap

DinoDS frames a common assistant failure as a routing problem, not a chat problem: models answer politely when they should hand off to an action path. The post argues that the real boundary is between conversation, connector-required actions, and deeplink-required actions.

// ANALYSIS

The strongest point here is architectural: if you collapse every request into generic tool use, you get exactly the kind of “nice English, wrong behavior” failure the post describes.

  • The post makes a credible case that intent routing should be separated from execution, especially for calendar, messaging, maps, and file workflows
  • A simple prompt fix is unlikely to solve this reliably; the failure mode looks more like missing supervision data for action boundaries than missing reasoning
  • The split between connector intent, connector action mapping, deeplink intent, and deeplink action mapping is the useful idea here
  • In practice, teams will probably need a layered system: rules for obvious cases, classifier/routing models for ambiguous cases, and post-training examples for edge cases
  • DinoDS is positioning itself as training data for that middle layer, which is a sensible niche if they can prove lower routing error rates
// TAGS
dinodsllmagentautomationmcp

DISCOVERED

4d ago

2026-04-08

PUBLISHED

4d ago

2026-04-08

RELEVANCE

7/ 10

AUTHOR

JayPatel24_