In a recent LinkedIn post, product coach and author Melissa Perri discusses the challenge of finding truly effective AI tools amidst a sea of options, highlighting one tool that she believes offers genuine time-saving benefits.
Perri addresses the common experience of AI tool adoption leading to overwhelm rather than efficiency. She notes that while it’s easy to accumulate numerous AI applications and increase output, the real value lies in tools that provide tangible time savings.
“The more I’ve played with AI this year, the more I’ve noticed a trap. It’s easy to accumulate tools. It’s easy to produce more output. What’s hard is ending the week with more time back than you had before.”
The Search for Productivity, Not Just More Tasks
Perri emphasizes that the AI tools she finds most valuable are those that perform a single function reliably and integrate seamlessly with her existing workflow. She contrasts this with the often-overwhelming experience of managing multiple, disparate AI applications.
According to Perri, the most effective tools are those that operate discreetly in the background, allowing users to focus on their primary tasks without added complexity. This is where she positions Granola, an AI notepad designed to work during meetings.
“The tools I’ve kept using are the ones that do one job quietly, smoothly connect to whatever I need, and let the rest of my stack keep working.”
She explains that Granola operates without actively joining calls, instead processing meeting transcripts to generate summaries, action items, and next steps. Perri describes this functionality as feeling like “magic,” underscoring its impact on meeting productivity.
Seamless Integration as a Key Differentiator
A significant factor in Perri’s continued use of Granola is its recent integration with the “MCP” (presumably a reference to her own product management framework or a related tool) and other AI applications. This integration, she argues, eliminates the need for manual copy-pasting of meeting notes into different AI tools.
Perri illustrates this benefit by referencing her team’s use of Claude Code. She explains how Granola’s meeting context can now be directly fed into their project workflows, ensuring that all decisions and discussions are readily available for iteration without information being lost in manual transfer.
“Granola’s meeting context can now flow into whatever AI tools you already use, so you stop copy-pasting notes into a chat window to give it the full picture.”
The ability to maintain meeting context within project workflows is a critical advantage, as Perri points out. This direct flow of information streamlines the process from discussion to action, preventing the loss of crucial details that can occur with manual data handling.
Evaluating AI Tools for Genuine Time Savings
Perri encourages professionals who are frequently in meetings to consider Granola, noting that it offers a free three-month trial for its paid plans. She frames this as a worthwhile investment for those seeking to reclaim time rather than simply add more to their to-do lists.
Her post concludes by posing a question to her network, seeking to identify other AI tools that have successfully provided users with more time, rather than just increasing their workload.
“What AI tool gave you time back this year, instead of just more things to do?”
Perri’s insights suggest a growing need for AI solutions that prioritize genuine efficiency and user-centric design, moving beyond the hype to deliver measurable productivity gains.
📝 About This Content
This article is based on insights shared by Melissa Perri on LinkedIn.
📅 Originally posted on April 28, 2026 | View original post on LinkedIn →