A practical starting stack for turning a topic into a researched, edited, and publish-ready content brief. Verify facts and keep final editorial judgment human.

Use this stack to move from a rough idea to a short social clip: plan the hook, create or source visuals, edit for pace, then add captions and a final fact check.

A lightweight loop for collecting structured feedback: define one question, recruit a small relevant group, record repeated friction, and turn the findings into the next product decision.

Discover an AI tool, validate its use case, and publish a practical Sangam workflow for the community.

ChatGPTClaude AI

Building production LLM pipelines in Go using bunshin-go for type-safe agent workflows, LM Studio for local model management, LangChain for chain composition, and Ollama for fast local inference. Perfect for Go developers who want LangChain-style pipelines without Python overhead.

LangChainLM StudioollamaOpenAI Codex