"The batch-and-deliver model is dead. In the age of real-time AI, every millisecond of post-processing is a millisecond wasted."
Traditional AI workflows follow a predictable pattern: receive request, process in batch, format output, deliver result. Each stage adds latency. Each handoff introduces delay. The result is an experience that feels mechanical, transactional, and fundamentally disconnected from real-time human interaction.
Post-processing typically includes output formatting, safety filtering, structured output parsing, and logging. Each operation adds 50-200ms to the response time. When your total latency budget is 100ms, there is simply no room for post-processing as a separate stage.
Generate → Filter → Format → Log → Deliver (500ms+)
Generate + Stream simultaneously (<100ms)
The key insight is simple: stream tokens to the user as they're generated, not after. Don't wait for the complete response. Don't batch. Don't hold. Stream immediately.
// Traditional approach (blocking)
const response = await model.generate(prompt);
const formatted = formatOutput(response);
return formatted; // User waits for EVERYTHING
// Stream-first approach
const stream = model.streamGenerate(prompt);
return stream.pipe(response); // User sees IMMEDIATELYThe implications go beyond performance. When AI generates in real-time, it enables new interaction paradigms. Users can interrupt, redirect, and collaborate with the AI mid-generation. The conversation becomes dynamic rather than turn-based.
The Infe API streams responses from the very first token. No buffering, no waiting, no artificial delays. Your users see output the moment it exists.
We are moving toward AI systems that don't "respond" but rather "participate." These systems maintain continuous awareness of context, generate output progressively, and adapt in real-time to user feedback.
Post-processing is a relic of an era where AI was a batch operation. In the era of real-time intelligence, every operation must be streaming.
At Infe, we don't just stream tokens faster. We stream them first.