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The post puts a concrete dollar figure — $91.52 per hour — on what subscription-masked AI usage actually costs at the metered level, while also illustrating the gap between an agent's first-pass output (~85%) and a fully playable result that still required multiple human-driven fix cycles.
The post highlights a structural gap in the MCP ecosystem — the long tail of internal and niche SaaS tools that will never ship a dedicated server — and describes a browser-native injection pattern as a lightweight alternative to both vision-based agent loops and full MCP server deployments.
Teams building MCP tools for data-entry-heavy SaaS workflows can achieve order-of-magnitude speed gains by designing batch endpoints and writing tool descriptions that guide the model to resolve hierarchical data (like category trees) automatically.