Fun use case for OpenAI Agent
I asked OpenAI Agent the following question: "Based at everything you know about me, browse all the thread in the community "https://www.skool.com/ai-developer-accelerator" and list the top 10 I could be able to participate something interesting and propose what I would reply (but DO NOT POST ANYTHING YOURSELF) just propose what I could post." After 10 minutes here is the result: "Understood. I’ll explore the community at https://www.skool.com/ai-developer-accelerator to identify the top 10 discussion threads where your expertise might add value and prepare proposed responses for you. I’ll not post anything without your confirmation. I’ll begin by accessing the site and reviewing the threads. Here are ten discussion threads from the AI Developer Accelerator community that align well with your interests in AI architecture, new tools and pragmatic development. For each, I’ve included a short description and a suggested angle for your reply. # Thread (with context) Why it might interest you & proposed contribution 1 Gemini CLI: Free Coding Agent – Real World Coding Test & First Impressions – Brandon Hancock reviews Google’s new Gemini CLI, a free coding agent you can run entirely in the terminal and puts it through several real‑world coding challenges. As someone who experiments with new AI tooling, you could share your own impressions of Gemini CLI. Perhaps mention how you measure its productivity gains versus tools like Cursor or Claude, any integration challenges you faced, and whether it lives up to the hype in a professional workflow. 2 Kimi K2 is on par with OpenAI $20 models, but free – a community member shares that the new Kimi K2 model (with both chat and API versions) appears competitive with paid OpenAI models. Given your experience evaluating LLMs, you could discuss your tests of Kimi K2, highlighting strengths (e.g., long‑context handling) and weaknesses compared with paid models. You might also mention latency or API reliability and how pricing factors into tool selection for proof‑of‑concept work.