Frigade provides an intelligent assistance layer for software-as-a-service platforms, helping users navigate complex features through real-time, interactive guidance. While many digital adoption tools rely on static documentation or manually defined tours that break when the interface changes, Frigade trains its AI by actually interacting with the application. By exploring the product in a staging environment, the assistant learns the specific paths required to complete tasks. This enables it to offer context-aware support in production, physically highlighting UI elements and guiding users through multi-step workflows rather than simply providing text-based summaries of help articles. The platform is divided into two primary offerings: an AI-driven assistant for dynamic help and a set of drop-in React components for traditional onboarding flows. For engineering teams, the implementation is handled via an SDK with flexible deployment options, including self-hosting for those with strict data residency requirements. By shifting the focus from reading docs to understanding the live interface, Frigade reduces the manual effort typically needed to maintain product walkthroughs. It is a practical solution for modern software teams that want to automate user education and reduce support volume without the overhead of constant prompt tuning or manual flow mapping.
Problem: Users often abandon complex SaaS products during initial setup because static checklists or documentation are difficult to follow.
Solution: Frigade's AI learns the product's interface and provides step-by-step interactive guidance, highlighting specific UI elements and explaining actions as the user performs them.
Example: A new user setting up a complex Stripe integration is guided through the settings menu, API key entry, and webhook configuration in real-time.
Problem: Support teams spend significant time answering basic "how-to" questions that are already covered in documentation.
Solution: The assistant acts as a first line of defense, navigating the user to the correct page and performing the action on their behalf while they watch.
Example: When a user asks how to change their billing cycle, the assistant opens the billing tab and highlights the upgrade button instead of sending a link to a help article.
Problem: Product teams struggle to drive adoption of new or advanced features that are buried in sub-menus.
Solution: Teams can trigger in-app nudges based on user behavior, suggesting relevant workflows that the AI can then walk the user through immediately.
Example: If a user frequently exports data manually, a nudge suggests setting up an automated report and offers to guide them through the configuration.
Target audience: Best for: Product Managers, Customer Success Teams, SaaS Engineering Teams, Product Marketing Managers
Pricing: Open Source · Categories: Assistant, Customer Support, Developer Tools
Tags: AI, ai agent, assistant, Customer Support, developer tools
Visit Frigade: AI-powered product assistance for modern software teams
Frigade is an AI-powered product assistance and digital onboarding platform. It trains by interacting with software applications in staging environments to understand UI workflows. The tool then delivers real-time, interactive walkthroughs in production, physically highlighting interface elements, assisting with form filling, and guiding users step-by-step through complex SaaS configurations.
Frigade operates under an open source pricing model. Organizations can deploy and self-host the software within their own infrastructure. The self-hosted architecture supports the use of private LLM keys, allowing teams to manage their own computing and model expenses according to their specific operational and data residency needs.
Frigade provides real-time UI navigation, interactive product walkthroughs, and automated form filling with field validation. It automatically retrains when application interfaces change, triggers proactive feature discovery nudges based on user behavior, and offers context-aware handoffs to human support agents. It also includes embeddable React components for building standard onboarding checklist flows.
To install Frigade, consult the official documentation and project repository at https://frigade.com/ for setup instructions. Developers integrate Frigade using its dedicated SDK and embeddable React components, with options to configure self-hosted instances using private API keys or connect to staging environments for model training.
Rather than relying on manual flow configuration or static documentation parsing, Frigade trains by actively exploring and interacting with target applications within staging environments. This hands-on interaction allows the AI to discover navigation paths, identify form fields, and adapt automatically when code or interface changes occur between releases.