Granola Recipes

Product Introduction

1. Granola Recipes is a feature within Granola Chat that enables users to execute AI-powered workflows by combining expert-designed prompts with real-time context from their meetings, notes, and conversations. It transforms generic AI interactions into actionable outputs tailored to specific work scenarios.
2. The core value lies in bridging the gap between AI capabilities and workplace productivity by embedding organizational knowledge and expert guidance directly into AI-driven tasks, eliminating the need for repetitive context-setting and manual input.

Main Features

1. Recipes integrate with Granola Chat via a "/" command, allowing users to instantly access pre-built or custom workflows that leverage meeting transcripts, strategy discussions, or 1:1 notes to generate outputs like PRDs, feedback drafts, or sales process analyses.
2. Expert-curated Recipes are developed in collaboration with industry leaders such as Lenny Rachitsky and Matt Mochary, providing validated frameworks for tasks like coaching, meeting preparation, and design critique responses directly tied to recorded conversations.
3. Users can create, modify, and share private or team-specific Recipes, enabling customization of AI outputs to align with internal processes, terminology, and workflow requirements while maintaining granular control over data access.

Problems Solved

1. Traditional AI tools require users to manually input context for each query, resulting in generic or irrelevant outputs that fail to reflect organizational knowledge or ongoing projects.
2. Professionals handling meetings, strategy sessions, or cross-functional collaboration (e.g., product managers, sales leaders, HR specialists) benefit from automated context-aware AI assistance.
3. Use cases include generating post-meeting action items from design critiques, analyzing sales call patterns to refine processes, or drafting performance feedback based on historical 1:1 conversation data.

Unique Advantages

1. Unlike standalone AI chatbots, Recipes dynamically incorporate real work artifacts (meeting transcripts, project notes) as input context, ensuring outputs reflect actual project states and organizational knowledge without manual data entry.
2. The platform’s patented context engine indexes and retrieves relevant conversation snippets in real time, enabling prompts to reference specific discussions (e.g., "improve our sales process" analyzes all tagged sales meetings automatically).
3. Granola Recipes operates as a closed-loop system where user interactions refine future outputs, learning from corrections to improve alignment with team workflows while maintaining strict data privacy (zero third-party model training).

Frequently Asked Questions (FAQ)

1. How do Recipes access my meeting notes securely? Recipes process data locally via AES-256 encrypted storage, with context retrieval limited to user-authorized conversations and enterprise-grade RBAC controls for team-based access management.
2. Can I modify expert-designed Recipes for my team’s needs? Yes, all Recipes expose editable prompt templates and context parameters, allowing adjustments to variables like output length, tone, or specific data sources referenced during execution.
3. What AI models power Granola Recipes? The system supports multiple state-of-the-art LLMs (GPT-4, Claude 3, and proprietary fine-tuned models) with automatic model selection based on task type, latency requirements, and data sensitivity flags.