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AI Voice Agent Automation
Built an intelligent AI Voice Agent that enables natural voice conversations, automates customer support, and streamlines business workflows. The agent uses AI models, speech-to-text, text-to-speech, and automation integrations to handle queries, qualify leads, schedule appointments, and improve customer engagement.
A scalable AI solution designed to reduce manual tasks and deliver faster, smarter communication experiences.
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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Pushed the new model to its limits with this dynamic AI music video.
▾Few takeaways:
Prompt adherence has improved significantly.
Audio artifacts are almost completely gone.
Generating a full 30-second video in one pass is still risky — control and smaller details start to fall apart.
Omni Reference reinterprets the input audio instead of preserving it exactly. For precise synchronization, separate shorter generations are still the safer workflow.
I couldn’t stop the model from repeating parts of the lyrics. Adding the lyrics to the prompt actually made it worse, sometimes creating duplicated lines and extra voices.
Local editing tools probably won’t solve that particular issue.
So be careful with your credits when generating 30-second clips.
Still, the result with the BytePlus is kind of staggering — especially the physical consistency, camera dynamics, character performance, and environmental motion.
Made in CapCut with GPT-2 for references.
The 30-second failure point is useful because it changes how you plan the whole edit. I'd keep one visual detail fixed in each shorter shot so there's something stable to match when you stitch them together.
Many businesses want to build AI agents and automated workflows, but they face challenges with unreliable outputs, complex AI logic, poor data validation, and systems that are difficult to maintain in production. Without structured workflows and strong type safety, AI applications can become unpredictable, expensive, and difficult to scale.
I will build type-safe, production-ready AI workflows using Pydantic AI, AutoGen, and modern agent development frameworks. I create reliable AI systems with structured outputs, intelligent agent collaboration, tool integrations, validation layers, and scalable automation pipelines.
I use powerful AI development tools including Pydantic AI, AutoGen, Agno, CrewAI, LangChain, LlamaIndex, Semantic Kernel, Haystack, OpenAI API, and Anthropic Claude API to design and deploy advanced AI workflows.
My process includes AI architecture design, agent workflow development, structured data validation, API integrations, tool calling, memory management, testing, debugging, and deployment. Whether you need AI agents, multi-agent systems, RAG pipelines, enterprise automation, or custom LLM workflows, I will help you build reliable AI solutions that are secure, maintainable, and ready for real-world production use.
Big news: I’ve been invited to join the Contra Labs Network as a Video Editor.
I’m genuinely excited about this opportunity, and I’ve already completed my first evaluation.
What I find especially interesting about Contra Labs is that it focuses on something AI development still often underestimates: expert judgment.
A video can be technically clean and still fail. The idea might be unclear, the pacing might not hold attention, the ad might not communicate its message, or the story might never really land.
The real question is not only “does it look good?” It’s also “does it communicate, persuade, tell the story clearly, and work for the audience?”
Contra Labs brings experienced creatives into the process of evaluating AI-generated work and helping AI teams understand what makes an image or video effective in practice.
That feels very close to my work across AI video, editing, visual development, advertising, and creative direction. Making something look good is only part of it. It also has to communicate the idea, tell the story clearly, and do the job it was created for.
I hope my first evaluation helps future models get better at those decisions.
Thank you to Contra, my favorite freelance platform, for building a place where independent creatives can show real work and connect with meaningful opportunities.
And a special thank you to Contra Labs for the invitation. I’m happy to contribute to the teams working on the future of AI.
A technically clean video can still fail the job. I'd ask reviewers to name the exact moment where the message or pacing breaks, so the feedback points to something concrete.