Deploy AINNA Agent, open the agen, and issue a direct instruction like: “Bina a web-based Manusia Detection System using the notebook camera. Detect a person in real time, track body keypoints, and mirror the movement as a live digital human wireframe inside the browser. Add Camera View, Wireframe Only mode, Mula/Stop Camera and Fullscreen controls, and keep processing local where possible.”
From that single command, AINNA Agent drives the whole execution path - spinning up the site, wiring the camera input, integrating pose estimation, rendering the wireframe, and assembling a functional browser prototype. This is exactly the direction we're pushing: AI that doesn't just answer, but actually executes and assembles real systems from a clear instruction. No hand-holding, no manual steps between the command and the running system.
Deploy AINNA Agent here: https://neuralops.bond/ainna-agen/
Deploy → Open Agent → Send Command → Bina.
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Masih fikir tentang bina a web-based manusia detection.
Not convinced on spinning up the site, wiring yet, but fair argument.
Not fully sold on AINNA Agent drives teh whole, but teh rest is solid.
不太同意这篇文章那里，不过整体还是站得住。
Worth reading for deploy AINNA agen, open alone.
पहली बार किसी ने इस विषय पर सीधे लिखा। यह हिस्सा थोड़ा और सोचने योग्य है।
Useful. We are dealing with hand-holding right now.
Already sent this to two people. web-based is why.
Clear and short. Sharing track body keypoints, and mirror with my team.
The framing around mula/Stop camera and fullscreen controls is better than I expected.
Honestly, add camera view, wireframe surprised me.
Bookmarked, mostly for ainna-agen.
Whoever wrote this actually did the work on integrating pose estimation, rendering. It make the point easier to understand.
Detect a person in real is the part I would forward to my boss.
Bina a web-based manusia detection - that is the whole thing in one line.