Are you tired of the "No-Code Ceiling"? Traditional automation tools like Make or n8n force you to map endless fields and manage fragile nodes. In this walkthrough, we show you the Codewords.ai way.
Watch as we start at 0:14 by simply telling Cody, our AI-native assistant, what we want to scrape. Cody doesn't just "connect" apps; he writes the production-ready Python code required to handle the heavy lifting of web scraping and data extraction.
We believe that by automating the technical "busywork," humans can focus on making the best decisions with the data they receive.
In this video:
Intent-Driven Building: Move from dragging boxes to describing goals in plain English.
Automatic Python Generation: See the actual code Cody writes to scrape dynamic content.
Smart Summarization: Use LLMs to turn raw HTML into structured, actionable insights.
Zero Infrastructure: Deploy your agent to a live production environment instantly.
Ready to break the No-Code Ceiling? 👉 Try it for free: codewords.ai (New accounts get $5 in free credits to launch their first agent!)
0:00 – Introduction to the tool
0:14 – Defining the Intent: Typing the initial scraper prompt to Cody
0:45 – Intent-to-Code: Cody begins generating the custom Python scraper
1:42 – Reviewing the generated code and backend logic
2:10 – Execution: Running the agent to extract live web data
3:05 – Handling Complex Sites: Why AI-native scraping beats static nodes
4:30 – Structured Output: Transforming raw HTML into clean data
5:15 – Adding Intelligence: Summarizing the results with an LLM
6:25 – Refining the Agent: Using chat to iterate on data fields
7:40 – Final Results and Verification
8:15 – Deployment: Moving from chat to a production-ready workflow