10 Prompts, Zero Code
A fast tour of the FiftyOne Agent, live, in the real app, on real datasets.
100% of teams report underperforming models
The causes are almost always data problems, not model problems.
Top causes of underperforming models
One request should replace three scripts
Fragmented tools, manual processes, brittle integrations, that's how most vision pipelines still run. Watch the left column become the right one, same tools, wired into one agent.
Before · 5 scripts, 5 terminals, 0 memory between them
After · 1 request, full context, same underlying tools
"Filter low-confidence detections, cluster them by embedding, and tell me which classes need more data."
Building the FiftyOne Agent, in the open
Everything today, the tools, the skills, the MCP wiring, comes from building this for real, mistakes included.
AdonAI Vera
ML Engineer & DevRel, Voxel51
FiftyOne as the Harness
One surface for data, models, and the agent that works them, side by side.
FiftyOne is the harness where you and your agent work the data
Curation, annotation, data generation, evaluation, and multimodal: five real product surfaces, each usable by a person, a script, or the same agent.
The Anatomy of an Agent
What's actually running when you hit enter.
Your agent is only as good as the tools you give it
Intelligence plans and decides. Execution is where it touches your data, and where tools, skills, and MCP all live.
the loop that ties it together
You can try this right now
Try the Agent on our platform. Open it on your phone, save the URL, and start typing while I keep going.
link.voxel51.com/ado →
Now, Live
Six real datasets, six real prompts, app.voxel51.com the whole way.
Ask it to summarize, and mean it
Robotics Droid · multimodal robot-demo data, no schema to learn.
Summarize the robot tasks in this dataset.
Open live at
app.voxel51.com/datasets/robotics-droid/samples?prompt=Summarize+the+robot+tasks+in+this+datasetCount the aircraft, then tell me which ones matter
RarePlanes · satellite imagery, military identification in one ask.
Find the image with the most aircraft and tell me if any of them are military.
Open live at
app.voxel51.com/datasets/rareplanes-5k/samples?prompt=Find+the+image+with+the+most+aircraft...Find the outlier, then explain it
Robotics Droid · peak joint torque, cross-referenced with task and outcome.
Find the episode with the highest peak joint torque and tell me what task it was performing and whether it succeeded.
Open live at
app.voxel51.com/datasets/robotics-droid/samples?prompt=Find+the+episode+with+the+highest...Find the violations, rank them, tag them
Learning to Drive · actual speed against the posted limit, across every episode.
Find episodes where the vehicle's actual speed exceeded the road's posted speed limit, rank them by how much over, and tag the worst ones for review.
Open live at
app.voxel51.com/datasets/l2d-750/samples?prompt=Find+episodes+where+the+vehicle...Combine three risk signals into one judgment call
Learning to Drive · speed, lighting, and surface condition, scored together.
Find the 5 most hazardous-looking episodes, combine high speed, poor lighting, and bad surface conditions, and open them so I can see them.
Open live at
app.voxel51.com/datasets/l2d-750/samples?prompt=Find+the+5+most+hazardous...One sample per condition, laid out for you
PandaSet · a representative episode for every weather condition, side by side.
Pick one representative episode for each weather condition and lay them out so I can see our weather diversity at a glance.
Open live at
app.voxel51.com/datasets/pandaset-detection/samples?prompt=Pick+one+representative+episode...Would capping your biggest class even help?
Any dataset you open · a real training-readiness question, answered on the spot.
Is our category split balanced enough to train on, or is one category going to dominate, and if I capped the biggest category to match the smallest, how many images would I lose?
Open live at
app.voxel51.com/datasets/pandaset-detection/samples?prompt=Is+our+category+split+balanced...If there's time, ask one of these
Same agent, same app, different datasets.
"Show me samples where the animals are running" · Animal Pose Benchmark
"Show me episodes with repeated grasps" · Robotics Droid
"Show me samples where predictions differ from ground truth" · PhenoBench
"Find duplicate images in this dataset" · works on any dataset you open
This is how physical AI gets built
Real robots, real vehicles, real sensors, all live on production app.voxel51.com. Every link on this screen works. Use it on your next call.
