Build Multi-Agent AI Marketing Team

I’m ready to spin up a fully automated marketing “dream team” for the Technology niche and I need the underlying multi-agent AI system built from scratch. My vision is a coordinated set of specialist agents—think virtual CEO/CMO, market-research lead, brand strategist, content strategist, hook & script writer, social media manager, distribution manager, growth hacker, and analyst—all talking to one another, delegating work, and iterating on results without constant human intervention.

Core requirements
• Architecture: I’m leaning toward OpenClaw, but I’m open to another multi-agent framework if it delivers comparable inter-agent messaging, memory, and learning loops.
• Collaboration layer: agents must interact through an internal messaging system, meet at scheduled virtual briefings, and share a unified task-management board so decisions and hand-offs stay transparent.
• Specialist focus areas (checkbox selections):
– Market Research
– Content Strategy
– Analytics
• Continuous learning: once content is published, the system should collect performance data, feed it back to the relevant agents, and automatically refine copy, creative, posting cadence, and channel mix to maximise reach, engagement, and growth over time.
• Tech stack: you’re free to assemble the right blend of LLMs, vector stores, orchestration tools (LangChain, AutoGen, etc.) and third-party APIs, so long as the end product scales and remains modular.

Deliverable
A runnable, documented codebase plus a short video walkthrough showing the agents in action—from an initial strategy briefing to live content deployment and post-campaign analysis. I’ll consider the project complete when the agents can plan, create, publish, and optimise at least one week’s worth of tech-niche social posts without manual prompts beyond the initial brief.