For AI agents: docs.octen.ai/capabilities/grounded-generation.md
Generation models create from training data, and anything outside it suffers. Something real, such as a product, a place, or an event, drifts from the facts. Anything that appeared after training is simply unknown to the model. An unfamiliar subject or a specific action comes out invented rather than accurate. Octen Grounded Generation searches first: it retrieves the images and videos that show the subject, then generates an image or a video grounded in that material. With real references to work from, the output is simply better. For the full list of parameters, see the Grounded Generation API reference.Why Grounded Generation
- Faithful to the real thing. Generation is anchored to retrieved web references, so real subjects look like themselves.
- Current by default. References come from live search, so generated visuals reflect how things look now, not at training time.
- One step from prompt to visual. Search and generation run as a single workflow, with no retrieval pipeline to build on your side.
How It Works
- Send a generation prompt and say whether you want an image or a video. The call returns a task id right away.
- Octen searches the web for the images and videos that show the subject, then picks the references to generate from.
- A generation model creates the output from those references. Poll the task until it finishes, then download the result from the returned link.
Scenarios
Visuals of real subjects
Generate products, places, people, and events from live web references instead of the model’s memory.Illustrate an article or answer
Turn a topic into a supporting video grounded in what the web actually shows.Vertical video for social feeds
Match the shape and length a feed expects.Next Steps
Try in Console
Run Grounded Generation live in the Octen console.
Grounded Generation API Reference
Full request/response schema.
Last modified on October 9, 2026