---
title: "Introducing bitdrift AI: the world’s first agentic mobile observability platform"
metaTitle: "Introducing bitdrift AI: agentic mobile observability"
slug: "introducing-bitdrift-ai"
blurb: "Let your agents query reality with full visibility into your entire mobile fleet"
metaDescription: "bitdrift AI is a real-time, full-fidelity observability system that lets AI agents query mobile user behavior and act on it autonomously."
cover:
  url: "/assets/posts/query-reality-ai-observability/feature-ai-hero-desktop@1x.webp"
  alt: ""
socialThumbnail:
  url: "/assets/posts/query-reality-ai-observability/feature-ai-hero-desktop@1x.webp"
  alt: ""
author:
  - "pete"
publishedDate: "2026-08-19T15:00:00Z"
modifiedDate: "2026-08-19T15:00:00Z"
tags:
  - "observability"
  - "mobile"
  - "feature"
  - "ai"
  - "news"

---

Today, we're announcing bitdrift AI: a real-time, full-fidelity observability system that lets AI agents query mobile user behavior and act on it autonomously. It's built on the [bitdrift Public API](https://blog.bitdrift.io/post/public-api) and [bd skills](https://github.com/bitdriftlabs/bd-skills/), which give your AI agents access to everything that happens on any of your customers' devices in real time. **bitdrift AI is the world’s first agentic mobile observability platform.**

<AIChatBoxHero />

## Agentic AI has fundamentally changed software engineering

Observability no longer has to be a reactive exercise. Rather than drowning in a sea of alerts, charts, and logs, agents can autonomously triage, investigate, debug, and even fix issues as they happen. This allows teams to focus on what really matters: your customers and their experiences.

Now, those agents, regardless of the model and harness, need access to high fidelity data to do their job. More importantly they need to be able to iterate in tight feedback loops as they investigate issues. In the past that's been impossible on mobile devices, with multi-day app release cycles, unreliable network connectivity, and scale and pricing structures severely limiting the telemetry being collected. As a result, all other observability tools rely on heavily sampled and stale data. Agents can only be as smart as the data they see, and on mobile, most have been operating blindly. Working with minimal visibility and interpolated data means they’re fixing the wrong problems.

## bitdrift: purpose-built for mobile observability

The bitdrift platform uniquely provides a level and quality of data on deployed mobile applications that no one else can. Data is captured on the device, metricized and aggregated in real time, reliably delivered even with the inherent instability of mobile platforms. When you investigate an issue, you are not querying a neutered, stale dataset. You are interacting with live user behavior from the device, with no limits on data collection or ingestion. That's by design: our founding team spent years running mobile engineering at Twitter and Lyft, with billions of installs and every kind of real-world device variability. The bitdrift platform was built to solve that pain.

## Full-fidelity observability, now accessible to AI agents

Now, our real-time observability system allows you or your agents to dynamically create and collect telemetry on any device instantly. User journeys, performance metrics, and behavioral changes are all available when your agent needs them, not ten days later waiting for an app release. And with our ability to narrowly target exact cohorts and data sets, you won’t blow your context window on useless noise. Early users are already seeing the impact, reporting faster investigations and a 10x improvement in MTTR.

> “With bitdrift, we’ve brought infinite scale to problem resolution,” [said Valerii Kuznietsov](https://bitdrift.io/case-study/thredup), senior staff software engineer and mobile engineering lead at ThredUp. “Because we have enough data and AI to help us, we can help 90-95% of customers experiencing minor problems instead of the 20-30% that we could support before.”

bitdrift AI allows agents to leverage our [powerful CLI](https://docs.bitdrift.io/cli/quickstart.html) and [public API](https://blog.bitdrift.io/post/public-api) to programmatically access and create the core components of the bitdrift platform: workflows, charts, issues, and captured sessions, letting them iteratively query and analyze telemetry from millions of customer devices.

You can create and manage workflows in code, retrieve full-fidelity sessions on demand, and integrate bitdrift into your existing tooling, your deploy pipelines, or your on-call workflows, all without ever opening a dashboard.

## Let your AI agents query reality today

Get started:

Learn more about mobile observability for AI agents at [bitdrift.ai](https://bitdrift.ai), or try it out by running the following in any terminal:

```bash
npx skills add bitdriftlabs/bd-skills
```

Full instructions at [https://github.com/bitdriftlabs/bd-skills](https://github.com/bitdriftlabs/bd-skills)

Not quite ready to dive in but curious to learn more about bitdrift? Sign up for a [free trial](https://bitdrift.io/signup) of bitdrift's mobile observability platform, or contact us for a [quick demo](https://bitdrift.io/contact-us).