Tested Claude 3.7 Gemini 2.5 and GPT-4o in real life. GPT-4o wins for meetings with best memory, clarity, and real-time adaptability.
TL;DR : I’ve been working closely with Claude 3.7, Gemini 2.5, and GPT-4o — not in demos or experiments, but in actual work. I wanted to understand how each model performs when it’s part of your day-to-day routine: running meetings, brainstorming, writing content, or reviewing documents.
And spoiler: while each has its strengths, one stands out when it comes to real-time collaboration.
With numerous AI assistant options emerging in 2025, how do you determine the best fit for your team's needs? At Shadow, we realized that meetings represent the ideal test environment to evaluate these powerful AI tools. Why meetings? Because the biggest challenge in meetings isn’t collaboration itself—it’s memory. Accurately capturing and recalling crucial insights, decisions, and innovative ideas discussed is exactly where an AI assistant's true value becomes evident.
In this comprehensive analysis, we compare three leading AI assistants—Claude 3.7, Gemini 2.5, and GPT-4o—to help you understand which performs best in a real-world scenario: meetings.
Meetings are an essential part of effective team collaboration. However, they often fail to fulfill their full potential due to memory gaps. Valuable discussions frequently become ephemeral, buried deep within Slack channels or neglected in Notion pages. We recognized this common issue and conducted thorough, practical evaluations of leading AI models, focusing specifically on clarity, adaptability, responsiveness, and memory retention.
Using real-world meeting environments, we tested each AI assistant’s capability to:
Choosing the optimal AI assistant significantly influences the effectiveness of information capture and retrieval. Here's an expanded summary from our comprehensive testing:
FeatureClaude 3.7Gemini 2.5GPT-4oPrimary StrengthsMethodical precisionMultimodal capabilitiesReal-time adaptabilityOptimal Use CasesLegal, code, complianceGoogle Workspace tasksDynamic team interactionsNotable WeaknessesLimited flexibilityLow customizationShorter long-context span
Claude 3.7:Claude 3.7, developed by Anthropic, excels in structured and detail-oriented tasks. In evaluations involving legal documents, compliance checks, and detailed code audits, Claude demonstrated unmatched precision. However, in our dynamic, conversational meeting tests, Claude’s performance was hindered by its rigidity and slower responsiveness, diminishing its effectiveness in real-time collaborative environments.
Gemini 2.5: Gemini 2.5 by Google marked a significant advancement in multimodal AI capabilities, effectively handling diverse data types such as images, audio, spreadsheets, and integrating seamlessly within Google Workspace. Google designed Gemini 2.5 Pro explicitly to rival OpenAI’s advanced "o" series, and it showed remarkable performance. On the SWE-bench Verified (software development capability test), Gemini scored 63.8%, performing better than OpenAI’s o3-mini and DeepSeek’s R1 but lagging behind Anthropic’s Claude 3.7 Sonnet, which scored 70.3%.
However, despite the impressive benchmark, Gemini's limited conversational nuance, low customization potential, and challenges in capturing subtle real-time conversational details limited its practical effectiveness for meeting-based applications.
GPT-4o by OpenAI:In our real-world evaluations, GPT-4o clearly emerged as the superior AI assistant for meetings. GPT-4o demonstrated exceptional responsiveness and adaptability, effortlessly capturing and summarizing conversational nuances with striking accuracy. It balanced clarity, readability, and actionable insights seamlessly, establishing a new standard in real-time meeting memory.
Specifically, GPT-4o:
GPT-4o effectively combined human-like conversational memory with powerful machine processing, ensuring exceptional performance in dynamic team workflows.
At Shadow, we prioritize AI solutions that genuinely simplify and enhance meeting workflows. GPT perfectly met our core criteria:
By eliminating friction rather than adding complexity, GPT-4o significantly enhances productivity and team effectiveness. Here’s why bot-free design matters.
Meetings are essential, and effective meetings rely heavily on shared memory. When memory is enhanced by powerful AI:
With GPT integrated into Shadow, meetings become structured, actionable, and incredibly valuable resources. Conversations transition into clear summaries and instantly accessible knowledge, greatly improving your team's collaborative capabilities.
Truly effective AI doesn’t need loud claims—it quietly and reliably proves its worth.
At Shadow, we’ve created exactly that—a subtle, highly efficient AI memory system powered by GPT, designed to empower your team by allowing them to focus solely on meaningful work.
Ready to experience the best AI assistant of 2025 for your meetings? Let's connect!