Unverified50% confidenceSolutionExact time
In DecisionAct v0.1.2, when there is uncertainty in input selection, the model is given one chance to double-check; if it still cannot determine, it automatically asks the user a clarifying question.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/26/2026
First Seen
Valid until: 1/24/2027
Sources
Related Entities
Related Claims
UnverifiedThe decision logic for choosing a prompting pattern is: zero-shot for simple deterministic tasks, few-shot when a specific format or style is needed, CoT or ToT for complex reasoning, RAG when external information is needed, ReAct or Agent for multi-step tool calling, and optimization + evaluation + version management as a trio for high-risk production scenarios.69% similarVerifiedDecision models do not generate text; instead, given an input state and a set of named questions, they return typed answers with probabilities in a single forward pass.68% similarUnverifiedThe new version requires that a model must explicitly possess the decision capability before it can be scheduled to handle System One requests.68% similarUnverifiedAfter keyword hints were introduced, the 1B model went from always answering asking_questions to usually selecting the correct stage, while the 4B model sometimes disagreed with the hints, which the author believes indicates the model is making its own judgment.68% similarUnverifiedThe decision model itself only outputs probabilities, and the automation threshold is determined by the application layer; for example, it can be set so that cases with a probability above 0.9 are handled automatically and otherwise routed to human review.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1098861API
curl https://kongchang.com/api/v1/knowledge/claims/1098861MCP
get_claim(id=1098861)