About Is AI Down

We're building a single place to understand how your favorite AI platforms are behaving in real time, powered by community reports and transparent analytics.

Our Mission

AI has become critical infrastructure for work, research, and creativity—but when an AI platform is slow or down, users are often left guessing whether the problem is on their side or the provider's.

Is AI Down aggregates community reports and patterns to give you a clear, human-friendly view of how major AI platforms are performing in real time.

How We Work

Community-Driven

We rely on user reports from developers, researchers, and everyday users to identify AI platform issues quickly and accurately.

User Report Analysis

We analyze user reports with advanced time-based detection algorithms to detect outages, latency spikes, and degraded responses across AI platforms.

Transparent Process

Our status calculation methodology is open and transparent, with confidence levels for every status update.

Real-Time Updates

Get instant updates about AI platform incidents and track trending problems across all monitored providers.

Status Calculation

Data Sources

•User Reports: Primary signal from real users experiencing slow or failing AI responses.
•Time-Based Analysis: Spike detection across multiple time windows (5min, 1h, 24h).
•Pattern Recognition: Advanced analytics to detect broad incidents versus isolated errors.

Status Levels

✅Operational: Responses are healthy and error rates are normal.
⚠️Minor Issues: Some users experience timeouts, slow responses, or intermittent failures.
🔶Probably Down: Strong signal that the platform is failing for many users.
❌Down: Confirmed major outage or complete unavailability.

Who's Behind Is AI Down?

I'm a solo developer who uses AI tools every day. After repeatedly wondering whether issues were "just me" or platform-wide, I decided to build Is AI Down to give the community a clear, shared view of what's happening.

Questions or Feedback?

Have an idea for a new AI platform to track, or spotted something off in our data? I'd love to hear from you.