HumanLayer
Enable AI agents to request human input for critical decisions

Target Audience
- AI developers building production agents
- Compliance officers in regulated industries
- Enterprises scaling AI automation safely
Hashtags
Social Media
Overview
HumanLayer lets developers add human oversight to AI workflows through simple code integration. It acts like a safety net for AI agents - whenever they need to make important decisions (like sending emails or processing transactions), the system automatically pauses to get human approval. This helps prevent costly mistakes while maintaining automation efficiency.
Key Features
Approval Decorator
Block specific AI actions until human review occurs
Omnichannel Contact
Reach humans via Slack, Email, Discord simultaneously
Custom Routing
Direct requests to specific teams/individuals
Framework Agnostic
Works with any LLM and major AI frameworks
Auto-Learning
Gradually reduce human input via approval patterns
Use Cases
Approve customer-facing communications before sending
Validate sensitive financial transactions
Coordinate team approvals for critical operations
Train AI agents using human feedback datasets
Pros & Cons
Pros
- Seamless integration with existing AI workflows
- Customizable approval escalation paths
- Supports multiple communication channels
- Preserves full control over LLM choices
Cons
- Requires technical implementation (SDK/API)
- Premium features locked behind enterprise pricing
- Limited to text-based interactions currently
Pricing Plans
Starter
monthlyFeatures
- Slack/Email/Discord integration
- Basic approval workflows
- Community support
Premium
monthlyFeatures
- Custom branding
- Advanced escalation rules
- Private VPC deployment
- Dataset exports
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
What counts as an active user?
Any user registered to approve or respond to agent requests
Can approvals be automated over time?
Yes - Learning and Auto Approvals use historical data to automate decisions
How is feedback data handled?
Datasets can be exported every 180 days for training/evaluation
Integrations
Reviews for HumanLayer
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