There’s a quiet but profound shift happening in how we interact with software. Agent frameworks like mcp-agent, Superblocks, and Lovable are starting to erode the need for traditional UI-based productivity tools—not by replacing them, but by automating around them.

Instead of opening Notion, Figma, or Asana to perform a task, developers are chaining agent workflows that handle it directly:

• Need a sprint plan? The agent assembles it using past tasks and meeting notes. • Need a report? The agent pulls data from Airtable and emails a summary. • Need a brainstorm canvas? The agent generates one from context.

These aren’t generic assistants. They’re agents that call tools directly (via APIs or Model Context Protocol), apply org-specific logic, and return structured outputs. No GUI. No tabs. Just outcome.

The architecture shift looks like this:

• Apps → backends • Agents → interface layer • Human input → intent, not navigation

In this model, tools like Notion become data stores. Figma becomes a renderer. Jira becomes a structured event log. The real “productivity platform” is an orchestrated mesh of tool calls, policies, and workflows—interfaced through a single prompt.

We’ve been here before. CLI > GUI > SaaS > API-first tooling. Now: API + LLM = agents. It’s not perfect yet, but it’s real—and accelerating.

The exciting part isn’t speed or efficiency (though both are improving). It’s that the cognitive load of learning and navigating software disappears. You no longer need to know how to use 10 tools, you just need to know what you want.

Feels like the early days of cloud. Invisible infrastructure, powered by intent.

Would be curious how others are using agents in production or where this abstraction breaks down.

https://x.com/zahiremami/status/1928527937705226368