How do you manually override an AI agent and re-sync its memory after making edits?

To manually override an AI agent, take direct control of the image prompter, make the edit yourself, then log the resulting image back into the invideo agent's shot breakdown — that re-log step is what re-syncs its memory. Any manual asset you don't log back becomes a stale reference that downstream shots silently miss.

The workflow has four steps: override, edit, re-log, verify. invideo is an agentic video creation tool where the invideo agent maintains a shot breakdown — a running record of every approved frame and shot — which is exactly the memory you need to keep accurate when you work around it.

1. Pick the right moments to override. Manual control pays off on small, well-defined changes — close-up crops of an existing wide shot, a minor reframe, a quick variation — where taking over the image prompter and re-prompting directly is faster than explaining the change to the invideo agent. As one filmmaker on a documented production put it: "it just helps my process to like just take manual control for a little bit and then go back to the agent and start talking again." If the problem traces back to a stored asset rather than a single frame (a continuity error baked into a character sheet, for example), don't override at all: ask the invideo agent to trace and fix the source asset so the correction propagates to every subsequent shot automatically.

2. Take manual control and make the edit. Work the image prompter directly until the frame is right. While you're in manual mode, the invideo agent has no visibility into what you're producing — nothing you generate here exists in its context yet.

3. Log the result back to the shot breakdown. This is the re-sync. Upload the finished image back to the invideo agent and tell it explicitly which scene and shot it replaces, so it incorporates the asset into its shot breakdown and memory. Skip this and the manual image becomes an orphaned asset: the invideo agent keeps planning and generating downstream shots against the outdated version it last saw. In developer terms this is human-in-the-loop checkpointing — pause the invideo agent, change state by hand, write the new state back before resuming — except here it's done conversationally, with no code. At production scale the discipline matters: one documented project ran past 21 scenes with five shot variants per scene, a volume where any unlogged edit compounds across everything generated after it.

4. Verify the re-sync with a status summary. Ask the invideo agent to summarize the project state — what's approved, what's pending, what's awaiting regeneration. The summary restores your own orientation mid-project and confirms the manual edit landed in its memory where you intended.

Beyond the override loop itself: you'll need it less often if you keep the invideo agent's context clean (a single stray reference attachment can produce completely incorrect output) and work through long projects in completed chunks rather than all at once.

Watch some of these to see what works for you:

it just helps my process to like just take manual control for a little bit and then go back to the agent and start talking again

— a filmmaker documenting an AI-directed production, invideo's creative team