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Designed and deployed a multi-agent AI automation system for ecommerce operations. The architecture uses specialized agents for executive operations, catalog management, Amazon, marketing, IT, and product imagery, with secure execution services connecting AI workflows to business systems and APIs. Built the system to automate repetitive operational work while maintaining clear departmental responsibilities, governance, monitoring, and human oversight.
The network for creativity
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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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A strong specialist skill is useless if the wrong system gets invoked. Long-running AI work breaks in boring, expensive ways.
That is not a prompting problem. It is a routing and authority problem.
How I can help you:
I build project routers for teams using multiple AI workflows, agents, or specialist assistants so that they work with each other as a team.
I design source-of-truth resolutions so your agents retrieve the current rules instead of improvising or relying on assumptions or stale chat data.
I create reusable skill registries and specialist handoff logic hardened by determined and dedicated flow states reducing the need for model reliance on its own internal and displaced memory context.
I separate project states with individualized canonical states bound by rules living under essential model instructions and routed properly so unrelated workflows do not contaminate one another, but exist with awareness of the role each project plays, enabling a persistently growing ecosystem to develop organically.
I add governance wrappers, escalation hooks, and recovery mirrors around existing AI stacks so that trust is designed at the root, and variance is eliminated with rule based source archiving and implementation.
Trust means closing your eyes at night and sleeping soundly because your agents got your back. And I can put it all together for you, precision results sourced and undisputed because I got tired of doing things the hard way.
Phillip, agree that routing is where it breaks. In our builds the worst bugs came from an agent pulling an old rule from chat history instead of the current source. Pinning one source of truth per project fixed more than any prompt change did.
A cinematic AI fashion film with retro tennis aesthetics, controlled camera movement, and slow-motion object choreography.
Retro tennis + slow-motion object choreography is a strong brief for AI fashion — the sport aesthetic gives the camera language structure so it doesn’t feel like generic runway slop.
AI Agent Landing Page | Figma, Framer & AI Workflow
Designed and prototyped an AI Agent landing page using Figma, animated in Framer, and accelerated with an AI-powered workflow.
Focused on a bold visual identity, immersive motion, modern typography, and a high-converting SaaS experience.
Ashar, the motion and the dark red palette work well together. One thing I see on a lot of AI agent sites is that visitors can't tell what the agent actually does in the first five seconds. A short live demo of one real workflow above the fold usually does more than another feature grid.