We’re building an AI Creative Director — what would make you trust it?
Most AI video products focus on the final output: generating clips, adding captions, or automating edits.
With Someple, we’re working on an earlier and less visible part of the workflow—the decisions that happen before editing begins.
Before someone can edit a long video, they usually need to:
Understand what happened across the entire recording
Find the moments that are actually worth using
Organize the main topics and narrative
Decide what kind of content can be created from the footage
Communicate that direction to an editor or production team
I experienced this repeatedly while working as a video editor. In many cases, reviewing and organizing the footage took almost as much time as the edit itself.
That’s why we started building Someple.
What Someple does today
Users can upload a local video or import one through YouTube.
Someple then provides:
• AI Summary — organizes the main topics and important information from long-form footage
• Transcript Timeline — lets users review the video through timestamped transcripts and subtitles
• AI Agent — answers questions about the footage and finds relevant moments
• Highlight Discovery — suggests sections that could work as highlights or short-form clips
• Premiere Pro Export — exports a .prproj file so the work can continue in Premiere Pro
For example, instead of manually scrubbing through a two-hour recording, a user could ask:
“Where does the guest explain the pricing model?”
“Which moments contain the strongest disagreement?”
“What parts could become short-form clips?”
Someple returns relevant sections with their context and timestamps.
Where we want to take it
We don’t want Someple to remain just a video summarization tool.
Our longer-term goal is to build an AI Creative Director that helps users move from:
raw footage → understanding → content direction → editing
That means going beyond identifying what was said.
We’re exploring features that could help users decide:
Which moments are worth keeping
How the footage could be structured
What story or angle could be developed
Why a particular section was recommended
What an editor should focus on first
We’re also exploring clearer editing plans, editable AI recommendations, better collaboration between reviewers and editors, and deeper integrations with existing production tools.
The questions we’re trying to answer
We’re still early, and we don’t want to define the product only through our own assumptions.
Many people here may not work directly in video production, but feedback from founders, developers, designers, and product builders would be especially valuable.
Does “AI Creative Director” clearly communicate what we’re building, or does it sound too broad?
What would you need to see before trusting AI-generated highlights, story structures, or editing recommendations?
Would you expect:
• Evidence linked to exact timestamps
• Explanations for why each moment was selected
• The ability to edit or reject every recommendation
• Comparisons between multiple content directions
• Clear privacy and data-retention controls
• Faster processing or deeper integrations
• An API for connecting the analysis to other products
We’d also appreciate direct feedback on the product itself:
Which part of the workflow sounds most useful?
What would stop you from uploading a video and trying it?
Are there technical, UX, privacy, or positioning concerns that we may be overlooking?
Even if you think “AI Creative Director” is the wrong direction—or that this workflow should not be automated—I’d genuinely like to hear why.
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