ChatHop vs Frigade: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ChatHop and Frigade — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
ChatHop
ChatHop
Moves an in-progress AI chat, with its context, into a different assistant in one click, or copies the whole thread out.
Key features
- One-Click Conversation Transfer: Pick a destination AI and a reason for moving, and ChatHop carries the existing conversation context into a fresh chat there.
- Review Before Send: The transferred conversation lands in the destination composer for you to read and edit; nothing is submitted until you act.
- Optional Auto-Send: Auto-send can be enabled for faster hops but ships off by default, so transfers never fire without your say-so.
- Full Chat Export: Copy an entire conversation to the clipboard as plain text or Markdown for pasting into docs, email, notes apps, code editors, or Slack.
- Multi-Service Support: Works with the major AI chat services already in a typical daily workflow, so you keep working where you work.
- No-Account Start: 20 free uses every month with no signup, password, or card required to begin.
- Scoped Context Access: Conversation content is read only at the moment you initiate a transfer or copy, not continuously in the background.
- Billing Isolation: Conversation text is never sent to ChatHop's billing service, and Stripe handles checkout so full card details are never exposed to ChatHop.
Best for
- Escaping a Rate Limit: When one assistant cuts you off mid-task, hop the whole thread to another service and continue without re-priming it.
- Getting a Second Opinion: Move a thorny question to a different model to compare answers on the same fully-stated context.
- Model Switching Mid-Task: Start exploratory work in one assistant and shift to a stronger or cheaper model once the problem is well defined.
- Archiving a Session: Copy a finished conversation as Markdown into notes, a wiki, or a project document for a durable record.
- Sharing With Teammates: Export a chat as plain text and paste it into Slack or email so a colleague can pick up where you left off.
- Feeding Context Into an Editor: Paste a full conversation into a code editor or document to turn a chat into working material.
Frigade
Frigade
AI product assistant that learns your app by using it, then answers questions, runs workflows, and guides users in-product.
Key features
- Live Product Learning: Agents use the application the way a real user would and re-document workflows every release, so answers reflect the product as it is today rather than outdated help articles.
- Skills and Tool Calls: The assistant can take actions inside the product and complete a step on the user's behalf, no custom code required for each workflow.
- Generative UI Answers: Responses render as interactive UI elements instead of plain chat text, so the user sees the actual controls involved in a task.
- AI-Generated Tours and Nudges: Product tours and in-app nudges are built on demand from the live UI with prompt-based creation, no manual element tagging, and self-healing when the UI changes.
- Assist API: Teams that already run their own agent can plug it into Frigade so it inherits product expertise without a rebuild.
- Engage React Components: Drop-in React components for onboarding checklists, flows, and product tours.
- Friction Insights: Reporting on where users get stuck and why, with dashboards, Slack alerts, and webhooks into PostHog, Amplitude, Mixpanel, and Segment.
- Enterprise Deployment Options: Cloud or self-hosted with your own LLM keys, SOC 2 Type II, GDPR compliance, SSO via SAML 2.0, and EU data residency.
Best for
- Support Deflection: Answer a user's question inside the product and resolve the workflow before a support ticket is ever opened.
- User Activation: Guide brand-new users through account setup and first-run configuration so they reach value faster.
- Virtual CSM: Provide account-level guidance across customer tiers without staffing a human success manager on every account.
- Feature Adoption: Surface newly shipped features in context, at the moment a user is doing related work.
- Expansion and Upsell: Prompt in-product upgrade paths where the user already feels the limitation.
- Agent Enablement: Use the Assist API to give an existing in-house support agent accurate, current knowledge of the product UI.
