Reliability
Why do agent tasks fail?
Independent Research Initiative
What Is Preventing AI Agents From Reaching Production Scale?
We are interviewing founders, engineers, and AI agent teams to identify the biggest infrastructure challenges behind reliable, real-world AI agents.
Participate in the Research
5-minute survey · Participants receive the 2026 industry report
What We’re Investigating
Authentication
How do agents handle identity, sessions, and login?
Browser Automation
What limits execution success in real-world web environments?
Observability
How are failures diagnosed and debugged?
Cost
What drives operational expenses and resource usage?
Scaling
What prevents agents from running reliably at scale?
Why Participate?
- Contribute to industry research
- Receive the 2026 AI Agent Infrastructure Report
- Benchmark against other teams
- Join future discussions and roundtables
- Your responses are confidential
Research Target
50+
Agent Teams
100+
Interviews
2026
Industry Report
About Sixuse
Sixuse is an independent initiative focused on understanding and building the infrastructure behind autonomous agents. Our goal is to identify the technical challenges preventing AI agents from reaching production scale and help accelerate the development of reliable agent ecosystems.
Help Shape the Future of AI Agent Infrastructure
Share your experience and help identify the infrastructure gaps that matter most.