A new video from product marketer Jeff Su attempts to cut through AI tool selection paralysis by defining when to use which platform. Su, who has 1.4 million YouTube subscribers, proposes one-tool-per-task rules for navigating choices between ChatGPT, Google's Gemini, and creative tools like Midjourney.
The real question enterprises face: do these simplified frameworks hold up under production workloads? Su's approach, built from testing 100+ tools, suggests using Gemini for Google Workspace integration and Notion AI for workflow optimization. For creative work, he points to Midjourney or ChatGPT's image generation.
What this means in practice: Su's content reflects a broader enterprise challenge. Organizations are paying for multiple AI subscriptions (ChatGPT Enterprise, Gemini for Workspace, Claude) with unclear delineation of use cases. His framework acknowledges there's no universal "AI playbook" yet, and that custom instructions sometimes hurt results.
Worth noting: Su promotes workflow automation through tools like Zapier (accessible) versus n8n (powerful but steep learning curve). For technical documentation specifically, the market conversation increasingly centers on Claude versus ChatGPT for API specs and code review automation, though Su's consumer-focused guidance doesn't dig into these enterprise specifics.
The pattern is clear: as AI capabilities converge across platforms, differentiation comes down to integration depth rather than raw capability. CTOs evaluating tool stacks will find Su's frameworks useful for end-user guidance, but procurement decisions require deeper analysis of enterprise features, token pricing, and compliance requirements.
History suggests that consolidation follows this phase of tool proliferation. Whether Google Workspace's Gemini integration or Microsoft's Copilot momentum wins the enterprise workflow battle remains the more interesting question than which tool generates better images.