Tech
We Built Deterministic JSON Ops for AI Agents — The Problem It Solves
Every AI agent that calls an external API hits the same wall.
The response comes back as raw JSON, deeply nested, verbose, full of fields the agent doesn't need. Before the agent can reason over it or take any action, someone has to filter it, reshape it, maybe merge it with another payload.
Most teams solve this one of three ways. They dump the raw JSON into the context window and let the LLM figure it out. They spin up a Python sidecar. Or they make an extra round-trip to a data service....
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