Used For

• +**Your support team answers the same 20 questions 500 times a week** → AI handles routine stuff, humans get the complex cases with full conversation history
• +**Users get stuck during onboarding and abandon your product** → AI guides them through setup screens in real-time, learning from common problems
• +**You're copy-pasting chat widgets and they look terrible in your app** → Custom UI that matches your brand, connects to your user data for personalized responses
• +Creates tickets automatically from chat conversations - no manual data entry or lost context
• +Connects to your existing tools so customer data flows everywhere without copying and pasting

Best For

• >You're building a SaaS product and need chat/support features but don't want to spend 6 months coding them
• >Your support team is drowning in repetitive questions that AI could handle
• >You tried standalone tools like Intercom but need something that feels native to your product

Not For

• -Solo developers or non-technical teams — this is API-heavy and requires coding to set up properly
• -Companies happy with standalone tools like Zendesk or Intercom — you're paying for embedding complexity you don't need
• -Anyone wanting plug-and-play simplicity — expect 1-2 weeks of development work for custom setups

Pairs With

• *Salesforce (where customer data lives and needs to sync with chat conversations)
• *Stripe (to pull purchase history so AI can give personalized responses about billing)
• *Slack (where your support team gets pinged about escalated chats that need human help)
• *PostgreSQL (to store chat transcripts and customer interaction history)
• *Zapier (to trigger workflows when high-value prospects start chatting)
• *HubSpot (for lead scoring when chat converts visitors to prospects)

The Catch

• !Usage-based pricing means high chat volumes could blow your budget beyond that $25/month starter price
• !You'll need someone comfortable with APIs and webhooks or you'll get stuck on day one
• !All the revenue claims ("$1.5M in 6 months") come from their marketing - no independent user stories found

Bottom Line

Build chat into your product in weeks instead of years, but you'll need developers to make it work.