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I Use ChatGPT-5.6 Sol For All My Work
Testing Sol across files, research, builds, and planning
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.
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?
About I Use ChatGPT-5.6 Sol For All My Work on Product Hunt
“Testing Sol across files, research, builds, and planning”
I Use ChatGPT-5.6 Sol For All My Work was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #122 on the daily leaderboard. 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.
On the analytics side, I Use ChatGPT-5.6 Sol For All My Work competes within Productivity, Artificial Intelligence and YouTube — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how I Use ChatGPT-5.6 Sol For All My Work performed against the three products that launched closest to it on the same day.
Who hunted I Use ChatGPT-5.6 Sol For All My Work?
I Use ChatGPT-5.6 Sol For All My Work was hunted by AI Fire. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of I Use ChatGPT-5.6 Sol For All My Work including community comment highlights and product details, visit the product overview.
AI Fire
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?