मित्रमंडळ.ai
/ˈmitrə məndəl/ collective noun

origin: marathi - मित्र मंडळ (mitra maṇḍaḷ), "circle of friends."

  1. a collective of builders, researchers, and tinkerers sharing real-world AI workflows.
  2. a space where applied AI meets fine-tuning craft and tooling experiments.

"see you at the mitramandal meetup this week - we're comparing agent stacks."

what is mitramandal?

mitramandal is an AI meetup where engineers share how they've actually integrated AI into their daily development workflows. every developer is solving applied AI differently: some are orchestrating agentic pipelines across MCPs, others are wiring real-time RAG loops into Cursor or Claude, and more are operationalizing multimodal copilots inside CI/CD. we've seen fine-tuning flywheels, retrieval sandboxes, and autonomous evaluation harnesses that ship to prod every week.

Martin Fowler nailed it recently: "we are still figuring out how to use LLMs... what I suggest is that people experiment with them... and do share the experiences."

what you'll see

  • agent orchestration, RAG implementations, and tool integrations
  • real-world case studies from production implementations
  • deep dives into fine-tuning strategies, evaluation methods, and model optimization
  • discussions on observability, guardrails, and scaling AI systems in production

our focus

this meetup is for AI engineers, LLMOps engineers, and developers working at the intersection of applied AI and traditional software engineering. we're talking about the application of AI and how AI is being integrated into real engineering workflows.

dec 6 meetup

thanks for joining us!

our first meetup has concluded. we had an amazing time connecting with builders, researchers, and tinkerers sharing real-world AI workflows. the goal isn't to convince you to switch tools, it's to see how engineers are approaching the same problem and steal ideas for your own workflow.

we discussed agent orchestration, RAG implementations, tool integrations, and real-world case studies from production implementations. the conversations covered fine-tuning strategies, evaluation methods, model optimization, and scaling AI systems in production.

stay tuned for updates on future meetups. sign up below to get notified about upcoming events and AI workflow discussions.