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Build AI agent to triage pitch decks using LangGraph and Nango

This guide details how to build an AI agent capable of triaging pitch deck emails. The agent uses LangGraph for orchestration and Nango for handling connections to Gmail and Slack. It reads emails, uses an LLM to assess pitch decks against an investment thesis, and posts suitable candidates to Slack. The process involves setting up Nango actions for Gmail and Slack, integrating them into a LangGraph pipeline, and managing OAuth connections and token lifecycles. AI

IMPACT Enables automated filtering of investment opportunities, streamlining the initial stages of the venture capital process.

RANK_REASON Guide on building a specific AI-powered tool using existing frameworks.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Build AI agent to triage pitch decks using LangGraph and Nango

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Guide on building a specific AI-powered tool using existing frameworks.
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Emmanuel Onwuegbusi ·

    How to build a pitch deck triage agent with LangGraph and Nango

    <p>In this guide you will build an AI agent that reads pitch-deck emails from Gmail, judges each deck against a fixed investment thesis with an LLM, and posts a Slack message when a deck is a fit. LangGraph orchestrates the steps; <a href="https://nango.dev" rel="noopener norefer…