Granola Launches ‘Recipes’ for Automated Meeting Notes – Ankor Tech
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The AI-powered meeting note-taking app Granola has officially introduced “Recipes,” a new feature designed to streamline workflows by allowing users to create and execute repeatable prompts. By integrating these shortcuts directly into the meeting environment, Granola aims to eliminate the need for manual transcript exports to external chatbots.

Streamlining Workflows with Custom Prompts

The Recipes feature allows users to invoke specific prompts by simply typing “/” followed by the recipe name within the Granola chat interface. This functionality mirrors the utility seen in platforms like ChatGPT and Poe, but is specifically tailored for the constraints and requirements of professional meetings.

Users can design recipes to apply to a single specific meeting or set them to function across multiple sessions. To assist in creating high-quality automated workflows, the company has provided a comprehensive guide on forming effective recipes. Additionally, these shortcuts can be shared with team members to standardize processes across an organization.

Meeting-Centric Automation

Granola provides a library of pre-built recipes categorized by the meeting lifecycle: before, during, and after. According to co-founder Chris Pedregal, the current iteration focuses on meeting context, but future updates will allow integration with external services to ingest broader datasets.

“We observed that users frequently copy transcripts into tools like ChatGPT or Claude to extract insights,” Pedregal noted. “With Recipes, they can leverage Granola’s full meeting context to execute those bespoke prompts without leaving the application.”

Competitive Landscape

The market for AI-driven meeting intelligence is becoming increasingly crowded. Competitors such as Fathom, Fireflies, and Circleback already offer template and prompt-based insight generation. However, Granola differentiates itself by embedding these capabilities directly into the note-taking flow, whereas many rival tools primarily focus on post-meeting analysis.