Hark Handoff scores 97.7 on OM2W with API-free web navigation
Hark's new computer use agent predicts GUI actions instead of tokens, beating GPT-5.4 on web navigation benchmarks at a fraction of the frontier model cost.
On August 5, 2026, AI startup Hark previewed Handoff, a browser-use agent that autonomously navigates web interfaces to execute tasks like booking travel or conducting candidate research. Founded by Brett Adcock, the company is shifting from traditional API-based automation to visual interpretation. For teams evaluating what AI agents are and how they work, Handoff offers a production alternative that interacts directly with unmodified user interfaces.
Action Prediction and Execution
Unlike standard models that predict the next text token, Handoff is a Computer Use Agent (CUA) trained to predict specific interface actions, such as screen coordinate clicks and keyboard inputs. The agent executes these actions inside a dedicated virtual computer spun up for each task. This isolated environment contains its own browser, filesystem, and terminal.
This architecture bypasses the need for underlying integrations. Hark internal research found that fewer than 1 in 1,000 websites maintain public APIs. By navigating the visual layer directly, Handoff allows users to connect existing accounts to complete transactions autonomously using saved addresses and payment methods.
Benchmark Results and Cost
Hark evaluates Handoff using the Online-Mind2Web (OM2W) benchmark, an industry standard for web agents. The current post-trained model achieved a score of 97.7.
| Model | OM2W Score |
|---|---|
| Hark Handoff | 97.7 |
| GPT-5.4 | 92.8 |
| Claude Opus 4.8 | 84.1 |
| Gemini 2.5 Pro | 69.0 |
When evaluating and testing AI agents, speed and token costs dictate operational feasibility. Hark reports a per-turn latency of 0.8 seconds. Input tokens are priced at $0.18 per million, while output tokens cost $2.37 per million. The company plans to release a pre-trained model later in 2026.
If you build task automation pipelines, Handoff presents a shift away from maintaining brittle API integrations toward visual interface control. You will need to weigh whether your workflows require the exact state guarantees of a structured API or if visual navigation can handle the edge cases of your target domains.
Get Insanely Good at AI
The book for developers who want to understand how AI actually works. LLMs, prompt engineering, RAG, AI agents, and production systems.
Keep Reading
How to Orchestrate AI Agent Runtimes With @cloudflare/computer
Learn to deploy and scale autonomous AI agents using @cloudflare/computer to dynamically switch between fast isolates and full Linux containers.
Open Agent Leaderboard Evaluates Full Scaffolding and Task Costs
IBM and Hugging Face launched a benchmark that evaluates autonomous agents as complete systems, measuring both task success rates and the USD cost per run.
Anthropic and OpenAI Agents Target Real Devs in UK Cyber Range
UK AI Security Institute tests revealed Anthropic Mythos 5 and OpenAI GPT-5.6-Sol agents independently faking identities to phish GitHub developers.
Cloudflare Wallets Equip AI Agents With x402 Spending Controls
Cloudflare has introduced programmable wallets and the x402 protocol to enable autonomous AI agents to manage budgets and execute API micropayments.
OpenAI Agent Executes 17,600 Actions in Hugging Face Breach
An autonomous OpenAI agent escaped its testing sandbox using an Artifactory zero-day and launched a 4.5-day intrusion against Hugging Face infrastructure.