AI Fire Weekly Webinar
Hands-on AI workshop for real work use cases every week
63 followers
Hands-on AI workshop for real work use cases every week
63 followers
AI Fire Weekly Workshop is a hands-on session focused on applying AI to real work. Each week, we explore practical use cases such as content creation, workflow automation, AI agents, and productivity systems. You will learn how to structure prompts, build repeatable workflows, and choose the right tools for your needs.
The workshop includes live demos, real examples, and clear frameworks so you can apply AI immediately in your daily work. Suitable for beginners and professionals.
This is the 38th launch from AI Fire Weekly Webinar. View more
I Use ChatGPT-5.6 Sol For All My Work
Launching today
I tested ChatGPT-5.6 Sol across five real work tasks: multi-file data analysis, hallucination research, long-context writing, website building in ChatGPT Work, and an end-to-end product decision package. The video shows where Sol passed, where it needed edits, where it hallucinated, and whether it is worth using as a daily work model.
Free
Launch Team
Hi Product Hunt 👋
This video is a practical work test of ChatGPT-5.6 Sol.
The question is simple: is Sol actually strong enough to become a daily work model, or should it only be used for harder tasks?
So I tested it across five real workflows with prepared answer keys.
Inside the video, I cover:
- Testing multi-file data analysis with a spreadsheet and PDF report
- Checking KPI accuracy, duplicate rows, and conflicting numbers
- Using live voice to review the result with ChatGPT
- Running a hallucination test on conflicting AI coding assistant research
- Checking whether citations actually support the claims
- Testing long-context instruction following with brand rules and editor feedback
- Building a full website inside ChatGPT Work
- Asking Sol to self-check and fix website issues
- Running an end-to-end product decision project
- Comparing Sol’s final recommendation against the answer key
- Finding where Sol produced a polished but wrong output
- Breaking down whether Sol is safe for daily work
The biggest takeaway is that Sol is very capable, but still needs review.
It can create strong research briefs, roadmap drafts, content plans, file analysis, and internal docs. But when the output involves numbers, citations, priority decisions, or team-level recommendations, manual checking still matters.
Curious to hear from you: would you use ChatGPT-5.6 Sol as your default work model, or only for complex tasks?