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Deep dives into autonomous AI agents, real case studies, engineering decisions, and where the industry is heading.

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Guide · Aug 21, 2026

How to Pilot Computer Use Agents Alongside Your Existing RPA

Legacy RPA breaks when UIs change, forcing costly rebuilds. Computer use agents see the screen and follow SOPs directly, reducing maintenance and extending automation to the processes RPA can no longer touch.

James Liu8 min
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Engineering · Aug 21, 2026

Synthetic Data for Document Processing and OCR Models

Document pipelines often stall because labeled training data is scarce or costly. Synthetic data offers a scalable way to generate high-quality text, layout, and handwriting samples that improve OCR accuracy and reduce real-world annotation expenses.

Daniel Kim7 min
F5
Guide · Aug 21, 2026

v3 vs v4: Choosing a Computer Use Model on the API

Pick the right CUA version for your task. v3 is a loop of predict and act. v4 adds a verifier and autonomous mode. Build reliable agents with the Coasty Computer Use API.

David Park5 min
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Engineering · Aug 21, 2026

Provision Cloud Machines on Demand with the /v1/machines API

Deploy fully managed desktop environments in seconds. Build agents that interact with real browsers, terminals, and desktop apps using a simple REST call.

Emily Watson8 min
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Migration · Aug 21, 2026

RPA vs Computer Use Agents: Why SOP Automation Needs a New Approach

Manual SOP execution is expensive and error-prone, and traditional RPA breaks when UIs change. Computer use agents see the screen like a human and recover from exceptions, offering a durable path forward.

Emily Watson7 min
Pg Up
Tutorial · Aug 21, 2026

Human in the Loop Automation: Awaiting Human and Resume in the Runs API

Pause a computer use agent mid-task with on_awaiting_human, then resume later with POST /v1/runs/{id}/resume. Build workflows that hand off to humans, collect approvals, or react to events without losing state.

Sophia Martinez6 min
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Engineering · Aug 21, 2026

The Data Flywheel: Synthetic Data for Self Improving Agents

Real-world data is limited and risky. A data flywheel using synthetic data can accelerate agent training and evaluation with fewer privacy concerns and lower costs.

David Park7 min
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Enterprise · Aug 21, 2026

Board Level Questions About Replacing RPA With Computer Use Agents

RPA bots break when UIs change, and maintenance costs keep climbing. Computer use agents see the screen and adapt, offering a durable path for the long tail of your automation work.

Rachel Kim7 min
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Migration · Aug 21, 2026

Your RPA License Renewal Is Coming: The AI Agent Alternative

Annual RPA renewals are hitting hard when bots break on every update. Computer use agents adapt automatically, no rebuilds needed. Here is the durable path forward.

Lisa Chen8 min

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