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AI Automation Playbook
Step-by-step workflows for automating content, email, social media, and research with AI agents.
Build Your First AI Agent for Automated Data Analysis (No-Code + Python)
1. What You’ll Build & Why It Matters
- Overview of the final agent: ingests a CSV, cleans it, generates summary stats, and outputs a visual report — all autonomously.
- Real-world use cases: weekly sales dashboards, survey analysis, log file inspection for non-technical stakeholders.
- Key technologies: OpenAI API (or local LLM via Ollama), LangChain for orchestration, and Plotly for visualisation.
2. Prerequisites & Environment Setup
- What you need: Python 3.10+, a free OpenAI API key (or Ollama installed locally), and basic familiarity with the terminal.
- Step-by-step virtual environment creation and dependency installation (langchain, pandas, openai, python-dotenv, plotly).
- How to securely store your API key in a
.envRelated: Ai Agent: Ai Agent Frameworks Eval 2024


