The real breakthrough for AI agents is not just building software, but applying coding abilities—like tool use and scripting—to tasks in marketing, law, and research. This evolution transforms agents from developer tools into general-purpose knowledge work assistants for all employees.

The internet's primary user is shifting from humans to AI agents, creating a new "machine-to-machine" economy. This presents an opportunity to create agent-native versions of every major SaaS category, from payments and communication (like Notion or Slack) to memory and project management, built specifically for non-human customers.

The business model is shifting from selling software to selling outcomes. Instead of creating a tool and inviting users, create pre-trained agents that perform valuable work. Then, invite companies to a workspace where this 'team' of AI employees is ready to start delivering value immediately.

Simply adding a generative AI co-pilot is now table stakes for SaaS companies. The founder argues the next evolution is 'agentic AI' — systems that don't just provide insights but autonomously perform tasks and make decisions for the user, like qualifying and actioning a sales lead.

Contrary to the "SaaS-pocalypse" theory, AI agents will become a new, high-volume user base for SaaS tools. This will drive massive growth for companies that adapt their products to be usable by both humans and AI agents simultaneously.

Non-technical users are leveraging agents like Moltbot to build their own hyper-personalized software. By simply describing a problem in natural language, they can create internal tools that perfectly solve their needs, eliminating the need to subscribe to many single-purpose SaaS applications.

Contrary to fears of a 'SaaS apocalypse,' AI agents could make platforms more valuable. By removing human limits like learning curves and work hours, agents can use software tools 24/7 at scale. This unlocks immense, previously untapped utility, shifting value from per-seat fees to high-volume consumption revenue.

The future interface for SaaS products won't just be a UI for humans or a REST API for machines. It will be an 'agent harness'—a rich environment of context, documentation, and skills that enables a customer's AI agent to expertly operate the product and extract maximum value.

Contrary to their name, software development agents are not just for coders. Their ability to interact with files, apps, and data makes them powerful productivity tools for non-technical roles like sales. This signals their evolution from niche coding assistants to general-purpose AI systems for any computer-based work.