Mike Bal argues that Claude is more reliable and a better writer than recent GPT-4 models, which he finds 'lazy.' Critically, Anthropic, Claude's creator, has better supported the Model Context Protocol (MCP) framework, making it the superior choice for building an integrated PM operating system.
Despite the popularity of ChatGPT and Gemini, Claude is the superior tool for marketing and copy-related tasks. Its strength in persuasive writing makes it the go-to for creating scripts, emails, and sales pages that drive action.
While ChatGPT and Gemini chase mass adoption, Claude focuses on a "hyper-technical" user base. Features like Artifacts and Skills, while too complex for casual consumers, create a deep moat with engineers and prosumers who are willing to invest time in building complex workflows.
Don't rely on a single AI model for all tasks. A more effective approach is to specialize. Use Claude for its superior persuasive writing, Gemini for its powerful analysis and image capabilities, and ChatGPT for simple, quick-turnaround tasks like brainstorming ideas.
Codex exposes every command and step, giving engineers granular control. Claude Code abstracts away complexity with a simpler UI, guessing user intent more often. This reflects a fundamental design difference: precision for technical users versus ease-of-use for non-technical ones.
Claude's proficiency in writing is not accidental. Its development, backed by Amazon's Jeff Bezos (who owns The Washington Post), involved training on high-quality journalistic and literary sources. This strategic use of superior training data gives it a distinct advantage in crafting persuasive prose.
Instead of holding context for multiple projects in their heads, PMs create separate, fully-loaded AI agents (in Claude or ChatGPT) for each initiative. These "brains" are fed with all relevant files and instructions, allowing the PM to instantly get up to speed and work more efficiently.
Unlike ChatGPT's Custom GPTs which often "forget" past interactions, Claude's "Projects" feature builds a persistent memory. It learns from all previous threads within a project, layering that knowledge on top of initial instructions to improve its output over time.
Craig Hewitt argues ChatGPT is a consumer product. For serious business tasks, agentic AI tools like Manus (built on Claude) are superior, offering web browsing, data aggregation, and code generation that go far beyond a simple chat interface.
Brex spending data reveals a key split in LLM adoption. While OpenAI wins on broad enterprise use (e.g., ChatGPT licenses), startups building agentic, production-grade AI features into their products increasingly prefer Anthropic's Claude. This indicates a market perception of Claude's suitability for reliable, customer-facing applications.
ChatGPT Apps are built on the Model Context Protocol (MCP), invented by Anthropic. This means tools built for ChatGPT can theoretically run on other MCP-supporting models like Claude. This creates an opportunity for cross-platform distribution, as you aren't just building for OpenAI's ecosystem but for a growing open standard.