OPEN_SOURCE ↗
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_