Descriptions:
Fahd Mirza demonstrates Creo (creo.ai), an AI agent platform built on Claude Sonnet 4.6 that addresses a gap most AI tools leave open: making automated workflows persist beyond a single conversation. While ChatGPT, Claude, and similar tools reset context with each session, Creo lets users convert a one-shot AI interaction into a reusable, scheduled agent with a single click — the key differentiator the video sets out to prove through live demonstration.
The demo builds a competitor intelligence monitor from scratch, tracking pricing pages for Cursor, Windsurf, and GitHub Copilot, logging structured data to Google Sheets automatically, and scheduling it to run every Monday at 9 a.m. The workflow is set up entirely through natural language prompts. Creo connects to over 31 tools — including Gmail, YouTube, and Google Ads — through an MCP-style connector system, and the agent creation process shows the model reasoning through tool calls, variable assignment, and execution planning transparently.
Creo’s pricing runs from a free tier with 31 time credits to a $20/month Pro plan with 200 credits and full scheduling, up to a $50/month Pro Plus tier. Mirza’s key technical observation is that once an agent is built, scheduled runs are deterministic — the LLM reasons once during setup, then executes without model inference, eliminating hallucination risk at runtime. For teams looking to automate repetitive research or monitoring tasks without writing code, Creo offers a compelling no-code path from prompt to persistent infrastructure.
📺 Source: Fahd Mirza · Published April 13, 2026
🏷️ Format: Tutorial Demo
