Learning from ChatGPT

#4606 CrewAI and Ollama Board of Directors for Innovation https://docs.crewai.com/v1.15.3/en/tools/overview #4606  Provide a python app using CrewAI and Ollama supported local models with a board of directors to 1) find opportunities, 2) analyze the opportunity, 3) suggest solutions, and 4) implement solutions using locally implemented agents that support local tool use. Include a critic for each agent and feed back its response to the original agent for follow-up for each step. Support Web Search and File tools. Here is a complete, production-ready Python application using CrewAI and Ollama local models. To satisfy the requirement of having a Critic for each Agent that sends feedback back to the original agent for revisions before moving to the next phase, we use CrewAI Flows . Flows provide the state management and routing hooks necessary to create iterative critique loops between agents. Core Prerequisites First, make sure you have the required packages installed: pip instal...

#4605 Python Board of Directors for Innovation #4605  Provide a python app using Ollama supported local models with a board of directors to 1) find opportunities, 2) analyze the opportunity, 3) suggest solutions, and 4) implement solutions using locally implemented agents that support local tool use. Include a critic and response for each step. Building a "Board of Directors" using local LLMs is a fantastic way to handle complex problem-solving. By using local models via Ollama and a multi-agent framework, you can ensure complete privacy and zero API costs. For this implementation, we will use AutoGen (specifically the updated autogen-agentchat architecture), as it natively supports local tool calling, structured multi-agent conversations, and strict transition loops (e.g., Director -> Critic -> Director). Prerequisites First, ensure you have Ollama running locally with a tool-capable model (like llama3.1 or mistral ). pip install autogen-agentchat autogen-ext-ollam...

#4604 Agentic Boards: Directors, Brainstorming, Innovation #4604  I have heard of agentic board of directors. An Agentic Board of Directors (sometimes called an AI Board of Directors or an autonomous advisory council) is a concept in enterprise AI architecture where a panel of specialized, role-specific AI agents collaborates to debate strategy, analyze risk, and make complex decisions. Instead of relying on a single large language model (LLM) to act as a generalist advisor, this pattern uses the multi-agent design paradigm to simulate a traditional corporate boardroom, leveraging the natural tension between different corporate roles to uncover blind spots. Here is a breakdown of how the concept works, its architectural benefits, and the typical dynamics involved. How It Works: The Multi-Agent Persona Pattern In this framework, a master coordinator agent (acting as the "Chairman" or "Facilitator") takes an enterprise problem—such as a proposed product launch, an a...