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Navera is a cloud-based AI platform that helps businesses build, deploy, and manage AI-powered applications and workflows on Google Cloud.
What I built: A unified platform with AI agents, knowledge bases (RAG), automated pipelines, one-click cloud deployments, and cost monitoring.
Why it matters: Teams can launch AI apps without managing the infrastructure themselves, while keeping cloud costs visible and under control.
Tech: Google Cloud, [Python / Node.js / React], Docker, CI/CD, [LLM APIs]
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Bloop, a Framer template for AI agent startups. I had a lot of fun animating it and creating its playful mascot.
A mascot is a nice way to stand out from all the dark gradient AI templates. The playful animation gives Bloop a real personality, Firdavs.
Before you add AI to your product, find the screen where your users already copy and paste.
That's usually where the real AI feature lives. Not a chatbot in the corner, but a step people already do by hand: summarising a ticket, drafting a reply, tagging an upload, pulling fields out of a PDF.
Here's the order I follow when a founder asks me to add AI to an existing SaaS:
1. Pick one workflow, not "AI everywhere." Watch where users leave your app to paste something into ChatGPT and come back. That round trip is your feature.
2. Keep the model behind your own API. One service owns prompts, retries, logging and cost limits, so you can switch providers without touching the frontend.
3. Make it tenant-aware from day one. Each customer's data, prompts and usage stay scoped to their account, or the first enterprise security review will stop you.
4. Ship a draft, not a decision. Let the AI suggest and the user approve. You earn trust and get real feedback before you automate anything.
5. Measure accepted output, not tokens. If users rewrite most of what it produces, the prompt or the context is wrong, and that's your real roadmap.
Most AI features that flop didn't fail because of the model. They were bolted onto the wrong step.
What's the one task your users still copy into ChatGPT?
Watching where users paste into ChatGPT and come back is such a practical way to find the real feature. Most teams start with the chatbot instead.
Meet Moe.
Moe is the mascot and AI guide we designed for our studio's website. We started with the character: a soft, friendly cube, modelled, lit and rendered in Blender. All six expressions (happy, wink, wow, thinking, chill, curious) are posed from the same 3D model, so he stays consistent across the site and our socials.
On the site, Moe is rebuilt in code. He waits in the corner, blinks, follows your cursor with his eyes, and dozes off when ignored, then opens into a chat that helps founders work out what they need: which package fits, what's included, the timeline and how soon work can start. His answers come straight from the site's CMS, so they stay current when pricing changes, and he hands off to the team when a question needs a person.
Need a mascot for your brand or an AI assistant on your website? Send us a message here; we'd love to build yours.
That 3D mascot branding combined with an AI-powered product studio concept is brilliant, Ibrahim! The clean UI and character expressions give the whole agency presence a ton of personality.