// Topic
OpenAI
Definition
OpenAI coverage in this archive spans 6 posts from Dec 2022 to May 2024 and treats openai as a production discipline: evaluation loops, tool boundaries, escalation paths, and cost control. The strongest adjacent threads are ai, llm, and architecture. Recurring title motifs include gpt-4o, changed, interface, and hard.
Working claims
- The archive repeatedly argues that openai only creates leverage when it is wired into an existing workflow.
- Early posts lean on five and days, while newer posts lean on openai and devday as constraints shifted.
- This topic repeatedly intersects with ai, llm, and architecture, so design choices here rarely stand alone.
How to apply this
- Define quality gates up front: eval sets, guardrails, and explicit rollback criteria.
- Start with the newest post to calibrate current constraints, then backtrack to older entries for first principles.
- When boundary questions appear, cross-read ai and llm before committing implementation details.
Where teams get burned
- Shipping agent behavior without hard boundaries for tools, data access, and approvals.
- Optimizing for model novelty while ignoring reliability, latency, or cost drift.
- Applying guidance from 2022 to 2024 without revisiting assumptions as context changed.
Suggested reading path
- Start here (current state): GPT-4o Changed the Interface, Not the Hard Part
- Then read (operating middle): Claude vs GPT: A User’s Honest Take
- Finish with (foundational context): Five Days With ChatGPT
Related posts
- GPT-4o Changed the Interface, Not the Hard Part
- Two Weeks With the Assistants API: What I Like, What I Hate
- OpenAI DevDay Happened and I Have Opinions
- Claude vs GPT: A User’s Honest Take
- My First Week Building with GPT-4
- Five Days With ChatGPT
References
6 posts
- GPT-4o Changed the Interface, Not the Hard Part
OpenAI shipped a model that sees, hears, and talks back in real time. The demos look magical. The architecture implications are where it gets interesting.
Two Weeks With the Assistants API: What I Like, What I Hate
I built three things with the Assistants API. One shipped, one got scrapped, and one taught me where the API's limits really are.
OpenAI DevDay Happened and I Have Opinions
OpenAI DevDay was not just a product launch. It was a platform play that changes the build-vs-buy calculus for every team shipping AI features.
Claude vs GPT: A User's Honest Take
Anthropic's Claude takes a different approach to AI safety. Here is how it compares to GPT in practice, from someone using both daily.
My First Week Building with GPT-4
GPT-4 landed and everything changed. What I learned in the first week of building with it, and the architecture decisions that followed.
Five Days With ChatGPT
First impressions of ChatGPT from a working engineer. It is not a search engine, it is not a colleague, and it is definitely not a replacement. But it is something.