Ideas Weave Every Narrative with AI.
AI’s conversational verbosity is a productivity killer. The solution? Use a separate, cheaper LLM to edit the output. By separating generation from presentation, you get clean, concise text — and stop wasting time on ‘token vomit.’ This pattern, from GitHub tools like ‘vomit’ and ‘claudish-to-english,’ is the future of efficient AI interaction.
The AI agent race isn’t about who builds the smartest model — it’s about who owns the channel. The real value sits in workflow integration and distribution, not model intelligence. The ‘??’ step in the WhatsApp AI agent plan is where the business is won or lost.
The tech industry is obsessed with making AI agents smarter, but that’s the wrong focus. The real bottleneck isn’t intelligence—it’s orchestration. When developers spin up multiple parallel AI agents, the human-AI interface turns into chaos. The next productivity leap requires taking back control of the swarm.
Managing multiple AI agents in separate terminals is a cognitive nightmare. The one-agent myth is dead. The future of developer productivity lies in a unified orchestration layer that lets you conduct multiple specialized agents like a symphony. Cetus is a macOS app that proves this paradigm works.
The idea that multi-agent systems need a separate ‘orchestrator’ framework is a myth. The simplest, most powerful orchestrator is any agent with other agents in its tool list. This insight lets you build infinitely composable AI swarms using nothing but the single-agent tools you already have—no new abstractions, no bloated frameworks.