Meeting action extractor

Use case Β· Operations

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Meeting action extractor

Operations

Pull decisions and action items β€” with owner and due date β€” out of messy meeting notes or a transcript, ready to paste into your tracker.

The routing recipe
Job typeStructured extractionPolicyCheapest that passes
routes to
GPT-OSS 20B groq
groq:openai/gpt-oss-20b
93.1
match score
80.9
task fit
100
cost
96.4
speed
Why this model from benchmarks & capabilities
  • "Structured extraction" leans hardest on instruction; GPT-OSS 20B scores 78/100 there β€” #23 of 40.
  • Strength on this class of work shows up on IFEval, IFBench (instruction following), where OpenAI (open-weight) models are competitive.
  • Cost: free tier. Speed: ~1000 tok/s on Groq LPU.
  • Chosen over Qwen3 Coder 480B-A35B Instruct for faster.
Capability the job needsWeightGPT-OSS 20BCatalog rank
instruction1.0078#23 of 40
tool_use0.6073#25 of 40
speed0.6096#1 of 40
Relevant benchmarksIFEval IFBench (instruction following) EconomicsCost: free tier.
Speed: ~1000 tok/s on Groq LPU.
vs runner-upChosen over Qwen3 Coder 480B-A35B Instruct for faster. (Qwen3 Coder 480B-A35B Instruct, score 91.9)
Example result
Sample input β–Ύ
…so we agreed to ship the Cloudflare provider this week. Priya will own the pricing-page update, hopefully by Friday. Someone needs to email the design partner about the demo β€” Dana said she'd take that next Tuesday. We punted the SSO work to next sprint.
DECISIONS: β€’ Ship the Cloudflare provider this week. β€’ Defer SSO work to next sprint. ACTIONS: β€’ [Priya] Update the pricing page β€” due Fri. β€’ [Dana] Email the design partner about the demo β€” due Tue.
Test it on your own data
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