Microsoft-Decision-1
Notable signalMicrosoft’s decision model for agents and workflows
Launched 21h ago
Signal
61
Velocity
0
What this means
1.8×Growing 1.8× faster than the typical AI Agents launch.
Compared to 3 AI Agents launches at the same age.
36%Mid-tier finish likely.
Projecting attention of 144 by end of day-1.
Low discussion activity despite the attention.
Audience is voting but not engaging — could signal weak product-market fit.
Prediction
Top-5 finish probability
36%
today
Projected end-of-day votes
144range 108–194
Trajectory
stable
Vote pace holding steady.
Speed vs peers
1.8×
3 AI Agents launches
About
Microsoft-Decision-1 is a decision-scoring model for routing, classification, verification and agent control. Give it fixed options and it returns a calibrated probability for each in a single pass, as structured output software can act on directly. Post-trained from Qwen3.5-9B, it is about 35x faster than GPT-6 Sol at median latency, per Microsoft. Available now in Microsoft Foundry at $0.042 per million input tokens, with free output.
AI Summary
Microsoft-Decision-1 is a decision-scoring model designed for routing, classification, verification, and agent control, providing calibrated probabilities for fixed options. It is post-trained from Qwen3.5-9B and offers a median latency that is approximately 35 times faster than GPT-6 Sol, available in Microsoft Foundry at $0.042 per million input tokens.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum22
Sustained over 6h
Virality0
Spread × engagement
Engagement3
Discussion per unit of attention
Editorial read
Microsoft-Decision-1 is 35 times faster than GPT-6 Sol.
InvestigateRanks high on little evidence. Worth a look, but verify before committing.
195/8
Surprising
35 times faster than GPT-6 Sol, signal 61 out of 100.
Timeliness5%100
carried 7%
Novelty15%75
carried 20%
Story20%68
carried 27%
Trend20%30
carried 27%
Business15%2
carried 20%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
measuredmeasured, zeronot measured
Full audit →Signal sources
3 of 6 active- Launch tracking4 readings since we picked it up
- AI analysisAI Agents
- Comment intelligencethread not yet analysed
- Outside discussionnot checked — domain is a storefront or shared
- Revenue signalsno match on this domain
- Editorial scoring13% evidence coverage
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.