Opening an AI platform to 2,000+ apps its users already run
An AI video-generation platform did not need another feature — it needed to plug into the tools its users already had open. We built the integration layer that made that possible.
The problem
The platform could generate video from text well. What it could not do was fit into a customer's existing workflow — a CMS publishing a post, an email tool running a campaign, a project board moving a task — without someone manually starting a render every time. Building a bespoke integration for every tool a user might already run was not realistic.
What we built
- A full integration against a major workflow-automation platform’s developer framework — the triggers and actions needed to start and manage video creation from outside the product entirely.
- A retry-and-queue layer on top of the webhook processing, so an automation keeps working when one call fails instead of silently dropping it.
- A REST API layer — authentication, rate limiting — in front of the video-generation engine, template selection and render queue, so external tools can trigger renders programmatically.
- Automated publishing pipelines: a CMS post goes live, a video renders from it, and the finished video posts automatically to social accounts.
- Workflow triggers from email-marketing and project-management tools, so a video render becomes one step in a larger campaign or project rather than a separate manual task.
Stack
Scale & result
Users now trigger and manage video generation from the tools they already have open — a CMS publish, an email step, a project task — without touching the platform’s own interface, and without a failed call quietly dropping a render.
More AI work we have shipped
Every claim above is a shipped, production system.
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Tell us what you're building.
The problem, roughly what you think it needs, and where the data lives today. We will tell you what we would actually build — including when the answer is less than you asked for.