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A multi-tenant AI orchestration platform that lets organizations deploy and manage AI agents at scale. It supports persona-based agents with defined roles and behaviors, webhook-driven triggers for automated actions, and single-prompt management of complex multi-step workflows. Built to run reliably on Kubernetes and Docker across multiple organizations.
Whats your thoughts on this?
Very impressive architecture. Multi-tenancy, persona-based agents, and Kubernetes scalability make this a strong foundation for enterprise AI automation. 🚀
The network for creativity
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Veranda, a luxury residential concept landing page
Veranda is a concept build I created for a fictional luxury residential brand. It is not client work or a real property. The images and hero motion were generated with AI as part of the creative process.
I wanted to explore something that matters when building high-fidelity landing pages: after several rounds of changes, how do you make sure the final page still looks like the design that was approved?
The site is built in Next.js with responsive layouts, self-hosted fonts, GSAP motion and an interactive walkthrough. I also built in a proper QA process around it, not just checking that the page loads and the buttons work.
It compares 12 sections across five screen sizes against approved visual baselines. It flags visual drift, missing baselines and changes that have not been reviewed. I also tested interactions, accessibility, contrast, performance, browser behaviour and reduced-motion states.
The main lesson for me was simple: a page can pass functional tests and still no longer be the page that was agreed.
Building a QA process that flags visual drift against approved baselines is such an underrated skill, most people just eyeball it after changes go in. What first made you start checking for that instead of trusting the build looked right?
quite fun learning how to build games using only ai tools like windsurf, vscode, cursor e.t.c
Greattt! 😊
AI can help founders build products faster than ever. But building is only half the journey.
In this episode, I share a real engineering lesson about why products that look "finished" often aren't ready for production and what actually happens between a working prototype and a successful launch.
Building is no longer the bottleneck. Launching is.
#FounderEngineeringJournal #AgenticAI #AISaaS #ProductEngineering #StartupFounder #AIEngineer #MVP #Launch #ProductDevelopment #BuildInPublic
founderinsightsaisaasstartupmvpAI Engineer Full Stack DevelopmentSoftware DevelopmentGoogle GeminiLovableRork
Absolutely; AI can accelerate development, but strong launch planning, validation, and execution are what turn a prototype into a successful product.