In a recent LinkedIn post, Andrew Bolis discusses how to match common workplace tasks with different AI tools. This article reports on Bolis’s recommendations and the way he frames tool choice as a practical, task-by-task decision.
“AI works when you pick the right tool at the right time.”
A task-based guide to four AI tools
Bolis organizes his guide around four products and the kinds of work he believes each can support. He describes ChatGPT as suited to content work, including writing, editing, summarizing, and conversational replies. The post’s emphasis is on using one tool across several related language tasks.
“If your focus is content, whether it’s writing, editing, or summarizing, this model handles it all with ease, including casual back-and-forth replies.”
For research, Bolis points to Perplexity, highlighting sourced answers, comparisons, detailed research, and market overviews. His description presents it as a resource for questions where gathering and reviewing information is central. The post does not compare the tools on accuracy or explain how readers should assess the sources returned, so those considerations remain outside the scope of his quick guide.
Different workflows, different strengths
Bolis assigns Grok a distinct role: following online trends and interpreting social content. He specifically calls out sarcasm, meme context, and live chatter. That recommendation centers on keeping up with fast-moving conversation, rather than producing conventional business documents.
“Best for tracking online trends, catching sarcasm and meme context, and reading live social chatter to see what’s trending now.”
For Gemini, Bolis focuses on tasks within Google’s productivity environment. He lists summarizing documents, fixing spreadsheet formulas, sorting and labeling email, and turning key points into actionable tasks. As Bolis presents it, the tool’s value in this scenario is tied to work already happening across those applications.
Start with one use case
The guide’s practical advice is to begin with a specific need instead of treating AI as a single, all-purpose solution. Bolis closes by urging readers to save and share the guide and to start with one use case. That makes the post a lightweight orientation to tool selection, rather than a detailed evaluation of competing products.
According to Bolis, choosing a tool starts with identifying the job: content support, research, social trend monitoring, or tasks connected to Google workflows. His central argument is that a clearer match between task and tool can make AI more useful in everyday work. Readers can use the categories as a starting point, while judging each tool against their own requirements.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on November 4, 2026 | View original post on LinkedIn →