A practical blueprint for anyone who wants answers instead of an overflowing inbox The Problem I’m overwhelmed by the amount of information that comes at me every day. Newsletters, RSS feeds, YouTube channels, social threads, LinkedIn posts, Slack discussions. All of it looks useful, but there’s no world
How we built a multi-agent intelligence pipeline that fuses internal data with external signals to uncover hidden market dynamics and generate strategic insights.
This post explores how the assembler agent transforms raw data into the Climate Narratives Report, showcasing AI’s role in streamlining workflows and generating actionable insights.
This post explores the Climate Resilience Data Platform, showcasing how it sources climate articles, tracks social conversations, and classifies narratives. A behind-the-scenes look at refining data products to reveal societal insights and advance the mission of RepublicOfData.io.
The need for automation in data analysis, especially around complex topics like climate change, has never been greater. In this post, I’ll walk you through how I’m developing an Investigative Report AI Agent prototype as part of my Climate Resilience Data Platform. This agent processes large-scale online conversations
This prototype showcases an AI agent that investigates social conversations on climate change. It assesses discussions, gathers additional context from external tools, and generates summaries, demonstrating how AI can enrich data platforms with deeper insights.
Discover how we built a climate data platform using Dagster for orchestration, LangChain for AI agents, and OpenAI for data enrichment. The platform mines media articles and tracks social network conversations to analyze evolving climate narratives across time and geography.
Explore how climate change conversations differ across the U.S. with a map highlighting dominant discourse types in each state. See how regional attitudes shape the discussion on this issue.
Conversations Analyzer - Part 3 of 3 📚The Conversations Analyzer series: - Part 1: Building up a Local Generative AI Engine with Ollama, Fabric and OpenWebUI - Part 2: Optimizing and Engineering LLM Prompts with LangChain and LangSmith - Part 3: Enforcing Structure and Assembling our AI Agent This is
Conversations Analyzer - Part 2 of 3 📚The Conversations Analyzer series: - Part 1: Building up a Local Generative AI Engine with Ollama, Fabric and OpenWebUI - Part 2: Optimizing and Engineering LLM Prompts with LangChain and LangSmith - Part 3: Enforcing Structure and Assembling Our AI Agent In my
Dear Friends of RepublicOfData.io, Thank you for being a part of our RepublicOfData.io community! At some point in our journey, you showed interest in our mission, and for that, we are incredibly grateful. RepublicOfData.io began as a seed of intuition. Over the past year, it has evolved
Conversations Analyzer — Part 1 of 3 📚The Conversations Analyzer series: - Part 1: Building up a Local Generative AI Engine with Ollama, Fabric and OpenWebUI - Part 2: Optimizing and Engineering LLM Prompts with LangChain and LangSmith - Part 3: Enforcing Structure and Assembling Our AI Agent For the past