A case for building narrow AI agents instead of broad automation
Broad agencies are becoming harder to defend as a business. Easy automation is moving into tools that many companies already use, such as , Workspace Studio, ChatGPT agents, Zapier, Make, and n8n.
Deep and are also being targeted by funded vertical AI companies and existing vendors. A narrower approach may be more practical: pick one industry or one repeatable job and build around that exact need.
The builder’s hands-on background includes a live-money arbitrage bot across Kalshi and Polymarket, websites and tools built with Claude Code, and real automations in n8n and Zapier. Those projects were used to learn , , , and the glue layer needed to connect AI tools into working systems.
Key points
- Broad agencies face pressure from self-serve tools inside major work platforms.
- Copilot, ChatGPT agents, Zapier, Make, and n8n are raising the baseline for simple automation.
- Deep regulated markets may be difficult because funded vertical AI companies and incumbents are already active there.
- A narrow industry or workflow can make an AI agent easier to sell, build, and control.
- and are framed as practical skills learned through building real projects.