The boundary between conversational artificial intelligence and background workflow execution continues to blur. In a significant product expansion announced by automation platform Make, users can now build, run, and review automations and AI agents directly inside ChatGPT through a new native plugin. According to the company, these workflows continue running in Make regardless of whether the ChatGPT interface remains open, signaling a shift toward persistent, ambient agentic execution.
For builders and founders, this integration represents a practical evolution in how software is deployed. Instead of switching contexts between a conversational prompt window and a dedicated integration dashboard, operators can design complex logic where they converse. This reduces friction in the development cycle, allowing non-technical stakeholders to prototype and deploy automation scenarios using natural language within the ChatGPT ecosystem.
Beyond the conversational interface, Make is introducing infrastructure updates aimed at growing teams and enterprise users. The platform has rolled out new custom role management capabilities, giving administrators granular control over permissions. Coupled with the introduction of scenario subfolders, these additions address the organizational debt that typically plagues teams scaling their automation libraries across multiple departments.
On the artificial intelligence front, Make has expanded its model support to include some of the most advanced iterations available on the market. Users can now harness cutting-edge models such as OpenAI's GPT-6 Astra, Anthropic's Claude Fable 5.1, and Google's Gemini 3.8 Flash within their scenarios. This multi-model approach allows founders to route specific tasks to the most cost-effective or context-capable model depending on the workload, avoiding vendor lock-in at the automation layer.
What this means for founders and business leaders is clear: the tooling for operational leverage is becoming deeply integrated and multimodal. As AI models evolve past simple text generation into autonomous agents capable of triggering external workflows, platforms that bridge chat interfaces with robust execution engines will dictate how efficiently lean teams can scale operations. By embedding Make directly into ChatGPT, the friction of orchestration is systematically reduced.