| AI sloppiness of this blog post aside, it's a reasonable observation. If you're thinking about how to integrate AI into your system, it's worth asking the question of why your system isn't just ChatGPT. - Do you have unique data you can pass as context? - Do you have APIs or actions that are awkward to teach to other systems via MCP? - Do you have a unique viewpoint that you are writing into your system prompt? - Do you have a way to structure stored information that's more valuable than freeform text memories? - etc. For instance, we [0] are writing an agent that helps you plan migrations. You can do this with ChatGPT, but it hugely benefits from (in descending order of uniqueness) access to 1) a structured memory that's a cross between Asana and the output of `grep` in a spreadsheet, 2) a bunch of best-practice instructions on how to prep your codebase for a migration, and 3) the AI code assistant-style tools like ls, find, bash, etc. So yeah, we're writing at agent, not building a model. And I'm not worried about ChatGPT doing this, despite the fact that GPT5 is pretty good at it. [0] https://tern.sh |