Martian cost-quality optimization

Router chooses LLM by uptime, skillset, and cost-to-performance ratio; 20-97% cost reduction maintaining benchmark performance

AA clean typed decision (yes/no, a pick from a list, or a level on a scale) that is concrete, repeats routinely, and has meaningful value.5.54

Key facts

Vertical
Software & tech
Function
Agents & dev
Status
Seen in the wild
Volume
high
Value
major
Risk
moderate
Evidence
described plan
Flags
check-fit

Source: https://itbrief.com.au/story/seed-funding-secured-for-martian-ai-venture-which-routes-llm-requests

Build this with a classifier

Define a typed decision with a bounded answer, then evaluate it on examples.

{
  "decision_type": "choice",
  "question": "Does this input match the decision in “Martian cost-quality optimization”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

Related use cases

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