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JamGPT
✓ verifiedPaid
Streamlines bug reporting with automatic capture; strong adoption.
👁 730K/mo♥ 2.9K
Pricing
No public pricing
Free: $0
Starter: $31
Team: $82
Popular: $125
Essential: $29 per seat/mo (billed annually) + $0.99 per Fin resolution
Advanced: $85 per seat/mo (billed annually) + $0.99 per Fin resolution
Expert: $132 per seat/mo (billed annually) + $0.99 per Fin resolution
Fin AI Agent (on existing helpdesk): $0.99 per Fin resolution (50 resolutions per month minimum)
Copilot: $29 per agent/mo (billed annually)
Proactive Support Plus: $99 /mo
Free: $0 per month
Pro: $12 / month
Team: $14 / creator / month*
Enterprise: Custom
Jam for Customer Support: Custom / month
Core features
- —
- ✦LinkedIn outreach automation
- ✦Cold email automation
- ✦Sales engagement CRM
- ✦Automated email warmup
- ✦AI personalization
- ✦Lead management
- ✦Sender rotation
- ✦Integrations
- ✦Fin AI Agent for automated customer support
- ✦Omnichannel support (inbox, tickets, phone, help center)
- ✦AI-enhanced inbox for agent productivity
- ✦AI Insights & Reporting for performance optimization
- ✦Workflow automation with a visual builder
- ✦Automatic capture of device and browser information
- ✦Console and network logs recording
- ✦Repro steps recording
- ✦Backend tracing
- ✦AI debugger
- ✦Integration with popular tools like Notion, GitHub, Jira, and Slack
- ✦Video recording and screenshot annotation
Use cases
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- →Automate LinkedIn connection requests and follow-ups.
- →Send personalized cold emails at scale.
- →Manage leads and track interactions in a centralized CRM.
- →Improve email deliverability with automated warmup.
- →Personalize outreach using AI to insert company details and pain points.
- →Providing instant customer service with Fin AI Agent
- →Managing customer inquiries across multiple channels
- →Automating support workflows to improve efficiency
- →Empowering support agents with AI-powered tools
- →Gaining insights into customer service performance
- →Reporting bugs quickly and efficiently
- →Streamlining communication between QA and development teams
- →Capturing detailed information for debugging
- →Integrating bug reporting into existing workflows
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