Future-proof your AI development with this

You're building an application. You want to add a queue — and get a new API to use, SDK, config, permissions, and one more place to debug. Then, you repeat the process with HTTP — pick a library, figure out the syntax, config, debug. Then, a database. Then, an AI harness. The result is intense decision fatigue and a lot of integration code. But it doesn't have to be like this. In this video, we show a different approach that iii takes. Instead of asking "which product do we integrate next?", you ask "which worker should join the system?" A worker is any process that connects to the engine and registers what it can do. Its functions get stable names, triggers set them in motion, and every other worker can call them — in any language, with no REST contracts, no gRPC, no shared clients. We illustrate how this approach works with a content moderation pipeline: • A Python classifier and a TypeScript intake worker, connected by function name with just one line of code • A queue with durable publish, retries, and dead-letter handling. No broker to stand up • HTTP front door and database storage We also show how you can get a live view of every worker, function, and trigger in the system through the iii console, and what kinds of existing workers are available in the iii worker registry. iii means one engine, one contract for every capability, and one answer when the system needs to grow: just add a worker.