Slideshot

Slideshot is an AI agent-driven tool designed to automate the creation of launch-ready product demo videos. It addresses the tedious and repetitive nature of manually recording and editing software walkthroughs, especially when product UIs change frequently. Instead of acting as a simple screen recorder, Slideshot provides a repeatable way to turn a product flow into a usable asset. By describing the feature steps you want to showcase, Slideshot's agent executes the flow in a browser, including authenticated areas with saved credentials, and returns a polished MP4 video. This finished output can be used directly in launch posts, changelogs, documentation, and enablement materials without needing separate recording, trimming, zooming, or export passes. The tool is built for agent-driven teams, offering an API that integrates with automation workflows, agents, and CI pipelines.

How to use Slideshot

To use Slideshot, you provide a product URL and a natural-language description of the feature flow you want recorded, similar to a PMM brief. You can initiate this process through three main integration paths: 1) Connect from an AI agent via Model Context Protocol (MCP) with tools like Claude Code, ChatGPT, or Cursor; 2) Run from the command line (CLI) using the npm package for scripts or CI jobs; or 3) Call the HTTP API directly with an API key. After submitting a run, Slideshot's agent drives the browser through the described steps, and you can poll for completion. Once the run succeeds, you download the polished MP4 and any other generated artifacts.

Core Features of Slideshot

• AI Agent-Driven Recording: Automates browser interactions to record web app walkthroughs based on a natural-language goal.
• Authenticated Flow Support: Can record real in-product workflows by using saved credentials for web applications.
• Polished Output: Returns a finished MP4 video that requires no further recording, trimming, or editing. Supports optional GIF, intro cards, background framing, and shortcut overlays.
• Multiple Integration Paths: Offers a robust HTTP API, a CLI for automation, and MCP integration for popular AI agents.
• Customization Options: Includes controls for video size and framing, background color or gradient, email blurring for privacy, and branded intro templates.
• Asynchronous & Scalable: API runs are asynchronous, allowing for queuing and suitable for integration into automated workflows.

Use Cases for Slideshot

Slideshot is ideal for product marketing managers, developers, and technical writers who need to create up-to-date product demonstration videos efficiently. Common use cases include generating launch announcement videos for new features, creating walkthrough videos for changelogs and release notes, producing training and enablement assets for internal teams or customers, and maintaining documentation with current visual guides of product flows, especially in applications with frequent UI updates.

Advantages of Slideshot

The primary advantage of Slideshot is efficiency and repeatability. It eliminates the manual work of recording and editing, saving significant time and effort. By being agent-driven, it enables the automation of demo creation as part of CI/CD or content workflows. It ensures videos can be kept current as the product changes, solving the problem of outdated demo content. The tool provides a clean, finished output ready for professional use, and its API-first design makes it accessible for developers and automation-focused teams.

Pricing and Plans

Slideshot operates on a simple pay-as-you-go model. There are no monthly subscriptions or seat-based fees. You pay only for what you use, at a rate of $0.90 per recording request. For example, 10 requests cost $9.00, 100 requests cost $90.00, and 1,000 requests cost $900.00.