Assist API for existing agents
Add a `frigade.assist({ query })` tool to an agent you already built. The agent keeps its own reasoning and voice while Frigade supplies product-specific guidance.
Frigade
Frigade Assist API adds live product knowledge to an AI agent with one tool call, helping it answer product questions and guide users through workflows. Frigade can also provide in-product assistance, learned task execution, analytics, and support handoffs.
AI guidance grounded in the live product
Frigade is an AI product-guidance platform with an Assist API for teams that already operate an AI agent. A single tool integration lets an existing agent send product questions or task requests to Frigade, which returns guidance based on how the application currently works.
Frigade can also be installed directly in an application to provide in-product help. It learns by using real workflows, updates its product model as the application changes, guides users through multi-step tasks, and can hand off unresolved conversations to a support system with context. The platform is aimed at product, engineering, support, and customer-success teams that need current product assistance without maintaining every workflow as manual documentation.
Core capabilities
Product learning through real workflows
Frigade is given product access and navigates the application like a user, mapping feature relationships, workflows, and points where users may get stuck. It re-learns after product releases.
Grounded, maintainable answers
Answers are based on current product behavior rather than only on static help documentation. Teams can review, rate, and tune responses without touching code.
In-product workflow guidance
Frigade can guide users step by step in the product UI and complete learned tasks through Skills, such as navigating screens or filling forms.
Contextual support handoff
When automation cannot resolve a request, Frigade can open or route a support conversation with the full conversation attached, allowing a human team to continue with context.
Conversation visibility and analytics
Teams can inspect conversations, resolution states, and areas where users get stuck in the dashboard, and expose conversation or adoption events through supported analytics integrations and the API.
Practical use cases
Extend an existing product agent
Add the Frigade guide tool to an existing support or product agent so it can answer questions about current settings, billing, integrations, permissions, or other application workflows without relying only on older help articles.
Guide users through complex workflows
Help a user complete a multi-step task inside the application, such as opening a security setting, configuring a webhook, or moving through a setup flow, with instructions tied to the current interface.
Assist with operational tasks
Let the assistant perform learned product actions, such as navigating screens or filling forms, when the task is appropriate for Skills rather than a purely explanatory answer.
Deflect and escalate support requests
Resolve routine product questions in the application and pass requests that need a person to a support system with the conversation attached, reducing the need for users to repeat the issue.
Find product friction from user questions
Use conversation logs, feedback, and analytics exports to identify recurring confusion, failed resolutions, and workflows that need clearer product design or assistance.
Pros and Cons
Pros
- Connects to an existing AI agent with one documented tool call.
- Learns product behavior by navigating real workflows and re-learns after releases.
- Supports both step-by-step in-product guidance and task execution through learned Skills.
- Provides review, tuning, conversation logging, analytics, and support handoff capabilities.
- Works with an existing support and analytics stack instead of requiring those systems to be replaced.
Cons
- The Assist API is primarily an augmentation layer for an existing agent; teams without an agent would use Frigade’s in-product assistant instead.
- The accuracy of guidance depends on giving Frigade access to the product and on the workflows and knowledge sources it can learn; the source does not provide independent accuracy benchmarks.
- Some advanced requirements, including self-hosting, custom security, or custom integrations, are described as enterprise capabilities rather than standard availability.
FAQ
How do teams add Frigade to an existing AI agent?
If you already have an AI agent, add Frigade as a tool with one API call. The tool accepts the user’s question or requested task and calls `frigade.assist({ query })`; your existing agent retains its own reasoning and voice.
How does Frigade learn a product and become available to users?
Frigade is added to the product as a user, learns by navigating real workflows, and can also ingest sources such as a help center, Notion, Confluence, PDFs, and release notes. An application can then add the SDK or Assist API integration so users receive guidance in the product or through an existing agent.
What does Frigade provide beyond documentation-style answers?
The product can guide users through workflows, provide grounded answers, and perform learned tasks through Skills, including navigating screens and filling forms. Assist API responses are returned through the agent integration, while in-product guidance is rendered inside the application UI.
How can support, customer success, and product teams manage Frigade answers?
Frigade logs conversations and outcomes in its dashboard, with access through the API; the site also describes Slack visibility and exports or events for tools including Segment, Mixpanel, PostHog, HubSpot, and Salesforce. Teams can rate responses and specify desired behavior without changing code.
What happens when Frigade cannot resolve a user’s request?
Frigade can hand off conversations to support systems such as Zendesk, Intercom, HubSpot, Salesforce Service Cloud, Help Scout, Front, Freshdesk, and ServiceNow, with the conversation context attached. The available integration depends on the support stack and plan; the source does not specify every implementation detail.
Quick Facts
- Category
- AI product guidance and in-app assistance
- Primary users
- Product, engineering, support, customer-success, and CX teams
- Integration model
- Assist API tool for existing agents; SDK or script-based in-product installation
- Workflow focus
- Product questions, step-by-step guidance, learned tasks, and support handoff
- Knowledge inputs
- Live product workflows plus help centers, Notion, Confluence, PDFs, and release notes
- Website
- frigade.com
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