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VELD Signal is an AI-powered brand visibility product I conceived and built to measure how businesses appear across ChatGPT, Perplexity, Gemini and Google AI.
I developed the product concept, positioning, GEO/AEO strategy, user experience and conversion flow, connecting AI search data with clear actions brands can use to improve visibility.
The project combines AI search, brand strategy, product thinking, GEO/AEO, automation and web development.
This is a strong bridge between strategy and product craft—the GEO/AEO framing is made tangible through the visibility workflow and clear conversion path. The dark interface with focused lime accents also gives the signal/analytics concept a memorable visual language.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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Averi.ai came to us with a vision: build the creative system of record for modern marketing teams. A product that blends AI, brand context, and human creativite all in one workspace.
What they didn’t have yet was a digital presence that felt like the product itself and that’s where I stepped in.
Hi Daniel,
Trust you are doing great. Been following for a while now
Well done boss, you’re doing so amazing.
I’m new here and if I may ask, Do you get all your clients here? If yes, how did you make it happen? Also, any tips on how to stand out here and attract clients?
Thank you. I look forward to your response
What does AI get wrong when you hand it a real brief?
I gave Kittl's agentic AI a brief we'd already shipped at Formeta, retail packaging for Ella by Ellaya Health, an at-home device for a common pelvic health condition, sold over the counter in Indian pharmacies. Plain language, no steering.
Pass one: four directions, three of them straight to the wellness reflex, lotus marks and sunrise gradients. All four were front faces attached to no box.
Pass two, with panel requirements and regulatory copy, came back with a real dieline. Glue flaps, directions for use, batch and expiry fields. Structurally a genuine leap.
It was also the wrong product. Invented a manufacturing licence number, added a CE mark to something sold only in India, moved the client to a different city.
On direction, Kittl is legitimately useful and I'd use it again. But healthcare packaging is a compliance problem wearing a design problem's clothes, and the model has no way to know it doesn't know that.
Vague brief gets you pretty. Precise brief gets you PLAUSIBLE. Plausible is the more dangerous one, because a founder without a designer might send it to print.
Last slide is the box we built.
Where do you let AI take the first swing, and where do you refuse?
It was super fun to experiment using Kittl with @Ansh Jamdagni 🫶
Built a 3D model viewer inside @Rive .
Not a plugin, not an embed — an actual glTF renderer running on @Rive 's GPU Canvas, written in Luau and WGSL, living inside the .riv file.
Drop in a .glb and it loads, lights, animates and orbits. Every control is a data-bound property, so the whole scene is drivable from a state machine, a timeline, or app code. Nothing is hardcoded to one model.
What's in it:
• glTF parsing written from scratch — Luau has no JSON library, so the decoder is hand-rolled
• PBR shading (Cook-Torrance GGX) with key/fill/rim lighting
• Skeletal skinning, 128-joint palette
• Rigid node animation with full keyframe interpolation
• Orbit camera with per-axis locks
• Auto-fit, so any model frames correctly regardless of authored scale
• ~40 data-bound properties: camera, transform, material, animation
Most of it was built by driving the Rive editor over its MCP server with Claude Code — scripted, not clicked.
Runtime support is nearly there. GPU Canvas landed in the web runtime last week. A couple of scripting APIs still need to follow before this can ship to a live site.
Here is the Github Repo for Instructions: https://lnkd.in/dAMXQJBR
the 3D viewer is so cool. nice work!