Granola Launches Recipes to Turn Meeting Notes Into Reusable AI Workflows.

Granola has launched Recipes, a feature that transforms the AI notetaker into what the company calls a "second brain" for teams. The new capability lets users create and run advanced prompts powered by context from their meeting notes, moving beyond basic transcription to enable repeatable workflows.

The feature addresses a common limitation in AI tools: models perform poorly without relevant context. By grounding prompts in actual meeting notes, Recipes can automate tasks like streamlining calendars, surfacing customer feedback, prioritizing action items, preparing for upcoming meetings, and tracking follow-through on commitments.

Users can build their own Recipes or access prebuilt versions shared by product leaders including Lenny Rachitsky, Nikita Bier, Michael Riddering, and Matt Mochary. The community-contributed library suggests Granola is positioning Recipes as a shareable format, similar to how Notion popularized template sharing.

Michael Altom, who joined Granola's team, described the feature as a step toward the company's broader vision. "Models alone aren't enough," he wrote in the LinkedIn announcement. "Without context, AI feels like chatting with a stranger."

The launch follows Granola's pattern of incremental feature releases that build on its meeting notes foundation. The company recently added @ mentions for navigating conversations and automated follow-up scheduling with Gmail. Recipes extends that trajectory by making notes queryable and actionable in ways that scale across multiple meetings.

Recipes function as templated prompts that run against a user's meeting history. Instead of manually searching notes or crafting one-off queries, users can trigger a Recipe to pull relevant information across multiple conversations. For example, a "customer feedback" Recipe might scan recent sales calls and extract recurring feature requests, while a "prep for 1:1" Recipe could surface action items and discussion topics from previous meetings with a specific person.

The feature integrates into Granola's existing Chat interface, where users can select a Recipe and apply it to their notes. The company hasn't disclosed whether Recipes will support external integrations, but the concept suggests potential for connecting meeting context to tools like Slack, Notion, or project management platforms.

Granola's approach contrasts with standalone AI assistants like ChatGPT or Claude, which require users to manually provide context. By anchoring prompts to structured meeting data, Recipes reduce the friction of feeding information into AI workflows. The trade-off is that the feature only works as well as the quality and completeness of the underlying notes.

Granola's bet on Recipes reflects a broader shift in the AI notetaker market, where differentiation increasingly depends on what happens after transcription. Competitors have focused on integrations, real-time collaboration, or vertical-specific templates. Granola's emphasis on reusable, context-aware prompts positions it less as a note-taking tool and more as a meeting intelligence layer.

The community-driven Recipe library could become a moat if it attracts high-quality contributions from recognizable experts. Lenny Rachitsky's involvement, for instance, brings credibility with product managers, a core demographic for meeting-heavy tools. Whether users actually create and share Recipes at scale remains to be seen; template marketplaces often struggle with discoverability and quality control.

Altom credited the Granola team, including Christopher Pedregal, Sam Stephenson, and Vas Zhovner, for the release. The company has been shipping updates at a steady pace, suggesting a focus on iterative product development rather than big-bang launches.

Recipes is available now to Granola users. The company has not disclosed pricing details or whether the feature is limited to specific tiers.