Meeting notetaker Granola just rolled out a feature that could change how productivity apps handle AI automation. The startup's new "Recipes" lets users create reusable prompt shortcuts that work across meetings, competing directly with similar features from ChatGPT and browser tools like Opera Neon. The timing couldn't be better, as companies scramble to differentiate their AI tools beyond basic transcription.
Granola is making a play for the productivity crown with its new Recipes feature, which lets users create reusable AI prompts that can be triggered instantly during or after meetings. The feature launches as meeting notetakers face mounting pressure to offer more than basic transcription services.
The concept builds on what ChatGPT popularized with GPTs and what Poe refined with custom apps. Users can now type "/" followed by a recipe name to execute complex prompts without retyping them. It's a simple interface that masks sophisticated AI automation underneath.
"When we talked to users, we heard from them that they often copy their transcripts to ChatGPT or Claude, and ask questions to the chatbot," Granola co-founder Chris Pedregal told TechCrunch. "With this new feature, they can get the full context of Granola and execute bespoke prompts."
That user behavior reveals the broader challenge facing AI productivity tools. Despite millions in funding and flashy demos, many users still default to copying information into ChatGPT or Claude for analysis. Granola's betting that native automation will keep users inside their ecosystem.
The company's approach differs from competitors by organizing recipes around meeting phases. Users can create prompts for before, during, and after meetings, with context that spans single sessions or entire meeting histories. The startup also provides a recipe creation guide and lets users share successful prompts with colleagues.
This puts Granola in direct competition with established players like Fireflies, Fathom, and Circleback, which offer similar template-based insights. But most competitors focus on post-meeting analysis, while Granola's Recipes can trigger during live sessions.
The timing aligns with a broader trend toward AI automation in productivity tools. Opera recently launched Neon with similar "cards" for repeated tasks, while startups like Dia are building entire browsers around reusable AI skills. The race is on to see which interface paradigm wins user adoption.
Pedregal hints at bigger ambitions beyond meeting transcription. The startup plans to connect Recipes to external services, expanding context beyond just meeting data. That could transform Granola from a meeting tool into a broader AI workspace, competing with everything from Notion to Microsoft Copilot.
The feature's success will likely depend on execution details that separate good AI tools from great ones. Can Granola's recipes handle complex multi-step workflows? How well do they integrate with existing business tools? And most importantly, will they prove sticky enough to prevent users from defaulting back to ChatGPT?
Early signals suggest Granola understands the stakes. By focusing on meeting-specific use cases and building sharing capabilities, they're creating network effects that could lock in enterprise customers. The company's emphasis on before, during, and after meeting categories shows they're thinking systematically about workflow integration rather than just adding features.
Granola's Recipes feature represents a smart bet on the future of AI productivity tools. By making complex prompts reusable and shareable, they're addressing a real pain point that keeps users copying data between applications. The real test will be whether this native automation proves compelling enough to break users' ChatGPT habits and establish Granola as more than just another meeting transcription service. With plans to expand beyond meetings, the startup is positioning itself for the broader AI workspace wars ahead.
