Romee Panchal
@romitheguru
ML Engineer | Writer, thinker, and lifelong learner. Subscribe to my newsletter: https://romeepanchal.substack.com/
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Don't read to question it. Don't read to agree with it. Read to understand it.
Building a research report an agentic system: Web scraper agent → gathers raw data Analysis agent → finds patterns Fact-checker agent → verifies claims Writer agent → creates narrative Editor agent → polishes final output Orchestrator ensures they work in the RIGHT ORDER…
After working on an agentic system, I realised that building a multi-agent system is straightforward if you understand the fundamentals and software design principles.
Compartmentalisation is key when managing many responsibilities. Here are a few practical ways to apply it: - Time-blocking: Assign specific hours to different responsibilities. Tools like calendar apps make this seamless. - Mental rituals: Use cues to switch compartments, like…
When everyone go out of job due to AI, who will have the money to buy the products companies will be making with AI?
In your head, problems often feel either too big or too small, and that distortion fuels anxiety. The fix? Externalize them. Write it down, make a list, sketch a graph—give it structure. Once it’s on paper, you see its true size and it becomes manageable.
Cost-effective AI models for agent development: How reliable though?
Three Main Orchestration Patterns Sequential: Agent A → Agent B → Agent C. Like an assembly line. Parallel: Agents A, B, C work simultaneously. Fast, but coordination is complex. Hierarchical: Manager agents oversee worker agents. Scales well, adds layers.
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