Multi-Agent AI System for Creative Production

@Microlent

Hello! This is feasible in 90 days if Phase 1 focuses on solid architecture. The main risks are agent drift, memory contamination, and API bottlenecks. Architecture • Event-driven microservices • Central orchestrator (LangGraph or custom state machine) • PostgreSQL for state, Redis for queues • Vector DB (pgvector or Weaviate) for scoped memory • Containerized services on Kubernetes Agent Design • Research agent: scrape, embed, cluster, store trends separately • Performance agent: normalize Meta Ads API data into structured schema • Script agent: strict JSON schema + validation guardrails • Creative/video agents: template-based generation + async render workers • Feedback loop: nightly ingestion, reward-weighted scoring, no destructive memory overwrites Memory Control • Segmented memory (trend, performance, creative) • Time decay weighting • Retrieval limits per agent • Schema-enforced outputs Scaling • Horizontal worker scaling • GPU nodes for rendering • Rate-limited Meta sync windows Best regards, Jasmin

@irsolutions

With over a decade of experience in web and mobile development, specializing in blockchain technology and AI/ML, I understand the complexities involved in building a multi-agent AI system for creative production. Your project's requirements for automating 80-90% of the production pipeline for Meta are ambitious and exciting. In past projects, I have successfully implemented AI solutions in various industries, including FinTech and HealthTech, delivering tailored products that drive results. My expertise in blockchain technology and experience with Web3 projects make me well-equipped to handle the challenges your project presents. I am confident in my ability to assist you in system architecture design, multi-agent orchestration strategy, API integrations, video generation pipeline design, and more. My goal is to help you achieve a production-grade architecture with modular design, scalable cloud deployment, and efficient performance monitoring within your timeline. I look forward to discussing your project further and providing you with a detailed implementation roadmap. Let's work together to bring your vision to life.

@n2rtechnologies

Hello, I am excited about the opportunity to contribute to your multi-agent AI system aimed at automating a significant portion of the creative production pipeline. My experience in developing systems that streamline workflows and enhance productivity aligns perfectly with your goal of achieving 80–90% automation. I understand the importance of delivering a robust solution that not only meets your requirements but also integrates seamlessly with existing processes. I can help design and implement the necessary components to ensure a smooth and efficient production pipeline. My focus will be on creating a user-friendly interface and ensuring that the entire system operates cohesively. Let’s discuss how I can bring this vision to life and make your creative production process more efficient. Regards, Nurul Hasan

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Multi-Agent AI System for Creative Production Automation ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for an expert to build a multi-agent AI system for Meta's creative production. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in AI and automation. I will focus on creating a robust architecture, ensuring smooth integration, and designing a scalable solution to meet your needs. ➡️ Why Me? I can easily design your multi-agent AI system as I have 5 years of experience in AI system development, specializing in architecture design, API integrations, and performance optimization. My expertise includes cloud infrastructure, memory management, and video generation. I also have a strong grip on project management tools and methodologies, ensuring timely delivery and quality. ➡️ Let's have a quick chat to discuss your project details. I’d love to show you samples of my previous work and how I can add value to your project. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ AI System Design ✅ API Integration ✅ Cloud Infrastructure ✅ Video Generation ✅ Performance Monitoring ✅ Memory Management ✅ Automation Strategies ✅ Data Analysis ✅ Feedback Loop Design ✅ Modular Architecture ✅ Multi-Agent Orchestration ✅ Project Management Waiting for your response! Best Regards, Zohaib

@kamran2012

This looks like a great fit, I will design and build the full multi-agent architecture for your creative production pipeline, covering the orchestration layer, agent communication, Meta API integrations, video generation pipeline, and the closed-loop feedback system - all structured for production-grade cloud deployment scaling to 2,000 creatives per month. I will also map out the 90-day phased rollout so each module is testable independently before full integration. For the memory layer, I will implement a vector DB with scoped context windows per agent and conversation threading. This prevents hallucination drift while keeping each agent focused on its specific task. I will also design the feedback loop so performance data flows back into script and creative generation agents automatically, improving output quality each cycle. Questions: 1) For video generation, are you leaning toward API-based tools (Runway, Pika) or self-hosted models, and what is your target resolution and duration per video? 2) What tracking APIs beyond Meta Marketing API need integration for the performance learning agent? 3) Is the Slack interface primarily for approval workflows, or do you also need real-time agent status monitoring and manual overrides? Looking forward to talking through the details. Kamran

@divumanocha

Hello Greetings, After reviewing your project description, I feel confident and excited to work on this project for you. But I have some crucial things and queries to clear out. Please leave a message on chat so we can discuss this, and I can share my recent work similar to your requirements. Thanks for your time! I look forward to hearing from you soon. Best Regards.

@widuIT

Hi — this is a real production system, not “a bunch of agents”. The way to make it scalable and reliable is to design it like a creative factory: strict contracts between modules, idempotent orchestration, a memory layer that prevents drift, and observability so you can see cost/latency/quality per creative. I’d start by delivering a concrete architecture and implementation roadmap, plus a working vertical slice that de-risks the hard parts: (1) a schema-driven Script Generation agent that outputs structured JSON, (2) an orchestration layer with durable queues and retries, (3) a Meta Marketing API upload module designed for batching/async + rate limits, and (4) a feedback ingestion loop that stores performance snapshots and ties them back to the creative lineage. For “memory”, the focus is not a giant vector dump — it’s scoped, versioned memories (brief, brand rules, winning patterns) with TTLs and evaluation gates so the system doesn’t slowly degrade. Slack becomes a control interface on top of this (commands → run IDs → progress/results), with a full audit trail of actions. With your budget range, I can’t build the full end-to-end production platform in 90 days, but I can give you the foundation that makes the 90-day build realistic: architecture decisions, clear module boundaries, and a proven integration slice you can expand confidently. Nico – widuIT - Top Freelancer LATAM

@diektech

Hi, I’m Elias from Miami. I reviewed your scope carefully — this isn’t a prototype agent stack. You’re building a production creative engine where orchestration, memory control, and performance feedback must be deterministic and scalable to 2,000 creatives/month. I’d structure this as an event-driven system with strict JSON contracts between agents. Orchestration via a workflow engine (Temporal / Celery / Step Functions) with retries, idempotency, and full traceability per creative. Each agent output passes schema validation + policy checks before moving forward. Memory would be layered: immutable run context, short-term task memory, and curated long-term knowledge in a vector DB with grounding and versioned prompts to prevent drift. Integrations (Meta Marketing API, tracking, Slack) would be isolated as adapters. The video pipeline would run as a queued render service with scalable compute and asset caching. Monitoring would track latency, cost per creative, failure rates, and performance deltas from Meta feedback. I’ve built modular AI systems with orchestration, RAG control, API-heavy workflows, and production observability. I have a few questions for clarification: Q1. What is the source of truth for performance feedback and attribution windows? Q2. Which generation tools/models are fixed versus flexible? Q3. What defines Phase 1 success within 90 days?

@LiveExperts

Hello, With an amalgamation of skills and experience in the field of cloud computing, machine learning, and web scraping, our team at Live Experts® fits your project requirements seamlessly. We have successfully executed projects of similar nature before, providing us a firm understanding of the multi-agent AI system you require. Our expertise extends beyond system architecture and design, offering valuable contributions in areas such as memory management to avoid hallucination/drift, API integrations, video generation pipelines to name a few. One standout feature that sets us apart is our ability to scale your project to 2,000 creatives/month without compromising on the quality or efficiency. This mettle is due to our proficiency in Python and Java which would be the backbone for this development. Moreover, we completely understand the importance of performance optimization and monitoring specifically when it comes to a platform as Meta (Facebook/Instagram). In addition to our technical skills, we firmly believe in regular and clear communication for project progress and updates. We would like to extend an invitation for a deeper discussion on your project's feasibility, architectural decisions and implementation roadmap. Trust us with transforming your imaginative idea into a robust reality! Let’s get started today! Thanks!

@Julian29

Hello, I have carefully reviewed your multi-agent AI system requirements for creative production and fully understand the need for a scalable, production-grade pipeline integrating research, script generation, creative/video generation, and Meta API automation. With 10+ years of experience in AI architecture, multi-agent orchestration, and cloud deployment, I have designed systems that handle structured JSON outputs, vector DB memory layers, feedback loops, and automated publishing pipelines at scale. I would approach your project by first designing a modular system architecture with clearly defined agent interfaces and orchestrator logic, implementing memory management to prevent drift/hallucination, and integrating Meta Marketing + tracking APIs for automated data ingestion and performance monitoring. The video and creative generation pipelines will be containerized for cloud scalability, with automated resource allocation to support 2,000 creatives/month. A closed-loop learning layer will validate outputs against KPIs, feeding insights back to the relevant agents. CI/CD pipelines and monitoring dashboards will ensure robust, production-ready deployment. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STORES. I am confident in delivering a fully modular, scalable, and performant multi-agent system. I eagerly await your positive response. Thanks.

@Rekhathakur

With an expansive experience of over a decade in building custom-tailored solutions coupled with our diverse technical expertise, WellSpring Infotech is just the strategic technology partner you need for your Multi-Agent AI System. We take pride in delivering projects encompassing complex functionalities, just like yours. Our proficiency in API Integrations, Cloud Computing, Java, Machine Learning (ML), PHP, and Python aligns perfectly with your project requirements. We've had the privilege of working extensively in the B2B and B2C arenas, designing projects for different industries such as HealthCare, e-Commerce, Proptech including Fintech - all of which testify our ability and flexibility to adapt to a broad array of contexts. Spending years fostering not only development skills but also delivering seamless execution through meticulous project management is what sets us apart. Given the complexity of your project which understandably needs comprehensive planning et al, our planning strategies can save time and money by foreseeing and mitigating risks while achieving your vision. Combining efficiency with reliability is quintessential to us as it should be for you. Let WellSpring Infotech accelerate growth and innovation, transform operational efficiency and be remembered as the key reason behind your improved profitability and customer satisfaction!!!! Thank you!!!

@hireageek

Hi there, I am excited about the opportunity to help you build a multi-agent AI system aimed at automating such a significant portion of your creative production pipeline for Meta. As a top California freelancer with extensive experience in AI systems, I have successfully delivered projects that align perfectly with your requirements. My background includes designing modular, production-grade architectures, and I have a proven track record of securing 5-star reviews from satisfied clients. Understanding the complexity of your project, I am well-equipped to design a robust system architecture that incorporates a reliable mixed-agent orchestration strategy. I can provide insights on avoiding memory drift, strategizing API integrations, and ensuring an efficient feedback loop learning architecture, all tailored to scale up to your projected 2,000 creatives per month. I would love to start this collaboration right away and can share a detailed implementation roadmap with you. Could you share what specific milestones you envision achieving in Phase 1? What specific challenges in API integration do you foresee, and how can I assist in addressing those?

@kanika6665

Hi there! ? I’m Kanika, a Full-Stack Developer and Digital Solutions Expert with extensive experience in Web Development, AI Integration, and Digital Marketing. I understand your ambitious project of building a Multi-Agent AI System for Creative Production for Meta (Facebook/Instagram). Leveraging my expertise in Python, PHP, Java, and Cloud Computing, I am confident in delivering a robust solution. My approach would include designing a production-grade architecture with modular components, cloud deployment, and performance monitoring. With my experience in AI Agents and ML, I can assist in the system architecture, multi-agent orchestration, and memory management to ensure optimal performance and avoid drift. I specialize in API integrations, which will be crucial for Meta Marketing API and tracking APIs. Let's collaborate to create a scalable, high-performing system that automates your creative production pipeline. What are your thoughts on this strategy? How do you envision the scalability of this system over time?

@sagarjain4010

Hello I can help build a production-ready, modular, and scalable multi-agent AI system for automating your creative pipeline. My approach would focus on: - Designing a clean, cloud-ready architecture with modular agents (research, script, creative, video) - Orchestration and memory management using a vector DB to avoid drift and hallucinations - Integrating Meta Marketing API, tracking APIs, and Slack for control - Building video/image pipelines with automation and performance feedback loops - Monitoring, logging, and scaling to handle 2,000 creatives/month Deliverables: architecture plan, cloud deployment, integrated agents, feedback loop, monitoring, and documentation. ✔I’d like to clarify a few things Do you prefer serverless or containerized agents for video workflows? Should creative types have separate pipelines or one unified flow? Any preferred frameworks for video editing? I’ve worked on multi-agent AI and automated creative pipelines before, and I can deliver a maintainable system within your 90-day Phase 1 timeline. Let’s discuss the architecture and start building a robust solution. Thanks Sagar

@XanvraTECH

Hello, With my extensive background in CMS development and API integration, I'm confident in my ability to architect and build the multi-agent AI system you envision. Having worked with popular CMS platforms like WordPress, Shopify, and Webflow, I understand the importance of high-performance and scalable design, which aligns perfectly with your project requirements. Moreover, my proficiency in several programming languages including Java, Python, PHP, as well as Machine Learning (ML), significantly enhances my ability to tackle the complexities of your project. I've successfully integrated numerous APIs into CMS-based websites connecting them to external services for various functionalities. This experience equips me excellently to work with the Meta Marketing API and tracking APIs as needed for your project. Lets Connect

@Apurva510

Hello, Thank you so much for posting this opportunity. It sounds like a great fit, and I’d love to be part of it! I’ve worked on similar projects before, and I’m confident I can bring real value to your project. I’m passionate about what I do and always aim to deliver work that’s not only high-quality but also makes things easier and smoother for my clients. Feel free to take a quick look at my profile to see some of the work I’ve done in the past. If it feels like a good match, I’d be happy to chat further about your project and how I can help bring it to life. I’m available to get started right away and will give this project my full attention from day one. Let’s connect and see how we can make this a success together! Looking forward to hearing from you soon. With Regards!

@ShaikhAneesa

Hello, I've thoroughly reviewed your project details for building a multi-agent AI system to automate Meta ad creative production, and I'm confident in delivering a production-grade solution that meets your scalability and timeline goals. I'll start by designing a robust system architecture using Python for core development, integrating LangChain for multi-agent orchestration to ensure seamless coordination among agents like research, script generation, and video editing. Next, I'll implement memory management with a vector database such as Pinecone to prevent hallucination and maintain data integrity across the feedback loop. For API integrations, I'll leverage the Meta Marketing API with Python's requests library and incorporate tracking APIs for real-time performance data. The video generation pipeline will use libraries like MoviePy for editing, combined with AI models from Hugging Face for static and dynamic creatives. To handle scaling to 2,000 creatives per month, I'll design cloud infrastructure on AWS with Kubernetes for deployment, incorporating MLflow for performance monitoring and optimization. I would love to discuss your vision for orchestrating agents and feedback loops to ensure maximum efficiency in Phase 1. Can we chat to finalize the roadmap and implementation strategy? Best Regards, Aneesa

@devendrathakur12

Hello, I specialize in multi-agent AI systems and built & customized large scale creative automation platforms. The main challenge here is orchestrating agents with stable memory and feedback loops while scaling to 2,000 creatives monthly. I am certified in Python development and I will solve this using FastAPI, LangChain-style orchestration, vector DB memory, and AWS cloud scaling. Which vector database preferred? How will Meta API rate limits be handled? Real-time or batch generation? GPU budget allocated? I’ll design it modular and production-ready. Best regards, Devendra S.

@GameOfWords

Multi-Agent AI System for Creative Production I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.