Pull-based AI waits for you to ask. Push-based AI acts before you even think to
Most AI tools today are pull-based - you type a prompt, they respond. But AI can (and should) be push-based -- delivering insights, alerts, or actions exactly when they matter, no prompt required.
Examples:
A trading bot that warns you before a token tanks.
A personal health AI that flags your sleep pattern before it wrecks your day.
A workflow agent that spots production issues before they hit users.
I’m exploring category-agnostic, push-based AI agent architectures - proactive, context-aware, always running in the background.
Anyone here building or thinking about this? Let’s compare notes.
You are defining use cases suitable for Autonomous Agentic AI implementations. But I would like to ask you a question for a challenge.
Will you be able to feel comfortable giving this level of autonomy to a technology that has a nearly 40% hallucination rate, as reported by experts?
To be honest, I will not.
thats a valid point, will a readable audit trail with the alert to provide context of reasoning and data used provide comfort ?