Jev AI unlocks 8 real-world GTM use cases at 73 cents per run

The Gist

• Jev AI processes unstructured input into structured decisions at 73 cents per 23 runs
• Key use cases include app routing, multi-agent coordination, and live presentation coaching
• Developers should treat Jev as a decision engine, not a chatbot, for maximum ROI

• Jev is better understood as a fast, inexpensive decision engine than a chatbot, turning unstructured input into structured results like scores, classifications, and function calls.
• Jev’s speed and cost (73 cents across 23 development runs) unlock a different class of applications, making brute-force analysis viable.
• Layered classification with Jev often works better than relying on one perfect decision, improving accuracy without significant cost.
• Jev analyzed a chess game 10x faster and 4x cheaper than a low-reasoning LLM without sacrificing accuracy.
• Jev is ideal for defined action spaces where natural language must be routed, while creative tasks remain better suited for LLMs.
• Faster models like Jev and Astra Ultrafast encourage creative experimentation by providing immediate results.

• Use Jev for routing and decision-making in applications where actions are finite and structured outputs are needed.
• Layer multiple Jev classifications to improve accuracy incrementally without significant cost increases.
• Combine Jev with LLMs for workflows requiring both structured decision-making and creative reasoning.
• Experiment with Astra Ultrafast for real-time creative applications if budget allows, anticipating future price drops.

• 73 cents (Cost for 23 Jev development runs)
• 40 cents (Cost to process 5GB of JSON with Jev)
• 10x faster (Jev's speed advantage over a low-reasoning LLM in chess analysis)
• 4x cheaper (Jev's cost advantage over a low-reasoning LLM in chess analysis)
• $97 (Cost of an interactive Astra Ultrafast session with Claire's kids)