Freelance AI Agent Orchestrators

Freelance AI Agent OrchestratorsFreelance AI Agent Orchestrators

Projects People

proZagreb, Croatia

AI-Native Builder | Apps, Templates & Websites Shipped Fast

1x: Hired

5.0: Rating

271: Followers

Expert

AI-Native Builder | Apps, Templates & Websites Shipped Fast

Cover image for I built WITNESS — customer

I built WITNESS — customer friction, captured before it becomes churn Customers rarely submit perfect support tickets. They leave voice notes, screenshots, incomplete explanations—or simply leave. So I built WITNESS: a focused web app that turns a customer’s statement, intent, and private evidence into one structured Witness Packet. Customers can speak or type what happened, attach files, and receive a private tracking reference. Teams can review the packet, assign ownership, update its status, and resolve it without exposing internal notes or raw evidence. WITNESS uses Base44 for data, authentication, storage, permissions, backend functions, and deployment. ElevenLabs handles voice transcription, while AI creates summaries, suggests severity, scores likely spam, and drafts customer updates for human review. The product feels premium because it is restrained, clear, and built around trust. Instead of another crowded support dashboard, it uses an editorial case-file interface where the customer’s words stay central and every important action leaves a visible record. https://witness-c1b4526a.base44.app Built for the Base44 Dev Build-Off. @Base44

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Cover image for One year ago, we took

One year ago, we took a leap into the unknown. Not because it was easy. Starting over never is. There are always doubts, risks, and countless reasons to stay where you are. But curiosity has a way of winning. @Bob Vasic and I have known each other since high school, sitting in the last row of the classroom. A year ago, that friendship became @RaptorLabs Agency. Today, we're building AI-native systems, products, and the company we always wanted to work for. Cheers to my best friend, co-founder, and the best CTO I could ask for. Here's to the first year—and everything we're building next.

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Cover image for This is not a portfolio.

This is not a portfolio. ⚡ It is a live personal system built during the challenge window. Yels is my personal website and control layer, built and hosted entirely on Zo Computer. It combines: 🟣 real-time Solana data 🔐 external Telegram control — /lock /unlock 💳 direct Stripe conversion 📊 hidden layers beneath articles and signal charts Creative vision: to turn a personal website into something alive — part identity layer, part data terminal, part monetization system, and part hidden interactive experience. Everything is live. 🟢 Built on my Zo. Live site: https://yels.zocomputer.pro (https://yels.zocomputer.pro)Video walkthrough: https://youtu.be/Hjt3HmK79cs

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Cover image for 🏆 The Zo Computer Challenge

🏆 The Zo Computer Challenge is an amazing opportunity and the perfect time to build something genuinely original. Get hands-on with OpenClaw without dealing with a complicated setup. Don't miss this one! 🔥 https://on.contra.com/QpQmPg 👈 @Zo Computer & @Contra supercombo! ♥️ 💰 $10,500 in prizes for creating the wildest personal website on the internet. #zocomputerchallenge @Ben Guo and rest of the Zo team did amazing job!

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AI Agent Orchestrator(5)

Armughan Shahid

proIslamabad, Pakistan

AI SaaS Dev | LLMs, Agents, Voice & Automation | Web, Mobile

1x: Hired

5.0: Rating

3: Followers

AI SaaS Dev | LLMs, Agents, Voice & Automation | Web, Mobile

Cover image for AI Operations Agent: RAG-Powered Retail

AI Operations Agent: RAG-Powered Retail Intelligence & Task Automation This project was built for large-scale restaurant groups and multi-unit retail operators who manage high volumes of data across dozens or hundreds of locations. Specifically designed for Regional Managers and Operations Directors, the system serves as an enterprise-grade "Digital Consultant" that bridges the gap between fragmented POS/inventory data and daily on-the-ground execution. By transforming millions of rows of restaurant performance metrics into high-priority tasks, it provides a centralized platform for leadership to monitor KPIs, approve AI-suggested corrective actions, and ensure operational consistency across their entire portfolio. 1. What We Built We developed a production-ready Autonomous AI Operations Agent designed to bridge the gap between complex retail data analysis and daily execution. The system acts as a digital consultant for regional managers, transforming raw KPIs into actionable tasks. Analytical AI Chat: A free-form conversational interface where users can query performance data (e.g., "Show me the top 5 worst profitable stores in Istanbul for the last 3 months"). Task Management Dashboard: A structured workflow where AI-suggested actions are automatically logged for manager approval or rejection. Automated Action Logic: The agent uses an "Action Suggestion Map" to identify specific defects (like low audit scores or high food waste) and suggest precise corrective measures. Persistent Memory: Includes both short-term memory for the current chat session and long-term RAG memory to maintain context over time. 2. How We Built It (The Stack) The system was engineered for scalability and reliability using a modern, containerized stack:AI Orchestration: LangGraph was used to manage complex, multi-turn reasoning and agentic workflows. Frontend: React/Next.js 14 for a responsive, real-time user interface. Backend & Data: Node.js paired with a PostgreSQL database capable of handling 1M+ records. LLM Access: Integrated via OpenRouter to allow for flexible model selection and switching. Infrastructure: Fully Dockerized to ensure consistent deployment across environments. 3. Challenges We Faced As the system scaled from prototype to processing millions of records, we encountered several critical engineering hurdles: Response Latency: The initial monolithic prompt architecture led to response times exceeding 60 seconds, far slower than the required "ChatGPT-like" speed. Prompt Verbosity & Errors: Complex questions involving multiple variables caused the LLM to lose focus, leading to "reasoning errors" and incorrect SQL generation. Hallucination Risks: In multi-branch queries, the model occasionally fabricated data points, particularly around manager hours and performance metrics. Context Switching Bugs: The agent sometimes struggled to "let go" of a previous topic, continuing to reference an old store when the user had asked about a new city. 4. How We Solved It We re-engineered the core pipeline to transition from a single, heavy agent into a Modular Multi-Step Architecture: 75% Latency Reduction: By decomposing the main logic into smaller, task-specific nodes, we dropped processing time from 60s down to 15s. Task Decomposition & Specialized Models: We stopped using a "one-size-fits-all" model. Instead, we implemented a router that uses lighter, specialized models for SQL generation and action identification, and flagship models only for final reasoning. Granular SQL Generation: Breaking the metadata analysis into narrow sub-steps eliminated SQL hallucinations. The model now only "sees" the specific schema needed for the current sub-task, ensuring 100% accuracy. 10-Point Testing Protocol: We implemented a rigorous QA protocol that specifically verified bug fixes for context switching, task duplication, and chart coverage before final delivery.

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Cover image for BudgetNest — AI-Powered Personal Finance

BudgetNest — AI-Powered Personal Finance SaaS Most people don't track their finances because the friction is too high. BudgetNest removes that friction entirely, every transaction captured automatically, categorised intelligently, and surfaced through analytics that actually help people make better decisions. The core problem it solves: Manual expense logging fails because people forget, get lazy, or simply don't have time. BudgetNest built an automated capture layer that works across every channel a user already operates in i.e. SMS alerts, bank emails, receipt photos, WhatsApp messages, and voice notes in English and Urdu. The system deduplicates intelligently across all input sources so nothing gets logged twice regardless of how it came in. What was built: A complete AI finance platform with five distinct automated capture modes SMS and email parsing for bank transaction alerts, PDF and image bank statement upload with AI extraction, OCR receipt scanning via camera, a WhatsApp bot that accepts text, images, and voice notes, and multilingual voice input for manual cash payments. Every transaction flows through an LLM-powered categorisation engine that auto-assigns categories and subcategories, recognises vendors, and learns from behaviour over time. Beyond capture, the system includes smart budgeting with AI-driven suggestions based on spending patterns, subscription detection for recurring transactions, shared expense and split-bill tracking, fraud detection for unusual transactions, and forecasting that projects deficit against income. Dashboards surface everything through charts, trend lines, and weekly and monthly summaries. Technical architecture: React Native across iOS and Android, Node.js and FastAPI backend, PostgreSQL and MongoDB, AWS infrastructure with EC2, S3, and RDS, Python-based NLP and OCR pipeline using Transformers and Tesseract, Twilio WhatsApp integration, Gmail API for email parsing, and Firebase for push notifications. Business model built in from day one: Freemium with premium automation features, B2B white-label capability for microfinance institutions and NGOs, and the OCR and SMS parsing logic architected as standalone APIs for third-party licensing meaning the AI layer has revenue potential independent of the consumer app.

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Cover image for Milematcher - Realtime Competitive Running Platform

Milematcher - Realtime Competitive Running Platform

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Cover image for Share the Light - Role-Based Tutoring Platform

Share the Light - Role-Based Tutoring Platform

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AI Agent Orchestrator(2)

Keaton Williams

San Francisco, USA

AI Automation Consultant & Strategist

1x: Hired

23: Followers

Expert

AI Automation Consultant & Strategist

Cover image for Numun.io AI Platform Overview

Numun.io AI Platform Overview

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Cover image for In Numun.io (http://Numun.io), workflows are first designed ...

In Numun.io (http://Numun.io), workflows are first designed and validated in Agent Studio as structured, multi-step graphs—made up of agents, tools, conditionals, loops, and outputs. Once a workflow is complete, it doesn’t live in isolation. By toggling the workflow on in Agent+ Mode, users can execute that same workflow directly from the AI chat interface. Instead of receiving a simple text response, the AI runs the full workflow behind the scenes and returns structured run results, including tool outputs, decisions taken, and final outcomes. The result is an AI experience that goes beyond conversation, turning chat into a live interface for executing and inspecting real autonomous workflows. In this example, Python code is generated and executed via Fly.io (http://Fly.io), returning a structured summary of results.

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Cover image for AI Builder + Agent Studio is a system for designing, testing...

AI Builder + Agent Studio is a system for designing, testing, and deploying AI agents and autonomous workflows as structured, production-ready graphs, not fragile prompts. At the core is Agent Studio, where workflows are defined as explicit graphs made up of agents, tools, conditionals, loops, routers, and outputs. The AI Builder sits on top of this system and generates complete workflows automatically. Instead of writing code or wiring nodes manually, users describe the goal—and the AI Builder constructs a valid workflow graph. Every workflow can be tested using a test harness, ensuring agents execute correctly before deployment. This project demonstrates how AI agents can be treated like real software systems—versioned, validated, and orchestrated—instead of one-off prompt chains.

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Cover image for Numun.io (http://Numun.io) is an autonomous agent and workfl...

Numun.io (http://Numun.io) is an autonomous agent and workflow execution platform designed to turn intent into action—reliably, securely, and at scale. Numun enables users and teams to design, deploy, and run AI-powered agents and workflows that browse the web, call tools, orchestrate systems, and complete real tasks end to end. At its core is a contract-based execution model that emphasizes determinism, observability, and accountability—bringing production-grade discipline to AI agents. Numun is built for developers, operators, and founders who need agents that actually work in the real world—not demos that break under pressure. This project includes full-stack platform development, execution infrastructure, agent runtime design, workflow orchestration, and system-level reliability engineering.

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AI Agent Orchestrator(3)

Gokulakrishnan Balaji

Custom Agentic AI System for Lead Qualification & Sales

Custom Agentic AI System for Lead Qualification & Sales

Cover image for The 6 Stages of the

The 6 Stages of the Digital Property Buyer And where real estate companies lose them. A property buyer rarely goes from seeing an ad → visiting a website → submitting an enquiry → buying. The journey is far more complex. For our latest YUKTAAI Research, we analyzed and synthesized findings across 29 industry reports, studies and research sources covering digital buying behaviour, UX, conversion psychology and real estate buyer behaviour. The research draws on work from organizations including Baymard Institute, Microsoft, Nielsen Norman Group, CXL and the National Association of REALTORS® (NAR). What emerged was a clear 6-stage digital property journey: Awareness → Search → Evaluation → Inquiry → Verification → Closing And buyers can disappear at every stage. Outdated pricing during search. Hidden fees or unclear payment plans during evaluation. Long forms and gated information when they're ready to enquire. Slow responses after they've already shown intent. The interesting part? The problem isn't always generating more traffic. Sometimes the buyer is already on the website. The real problem is helping them move confidently from one decision to the next. We mapped the full journey and the major friction points below. Want the deeper research behind this framework? Reach out to YUKTAAI.

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Cover image for Over 175 million people message

Over 175 million people message businesses on WhatsApp every day. For real estate, that's where many buying conversations begin. Yet most developers still treat WhatsApp as a simple inbox. We think it should be an AI-powered sales experience. In this demo, YUKTAAI acts as an Agentic AI for a real estate developer: • Understands buyer intent • Qualifies the prospect naturally • Recommends relevant properties • Answers project and payment plan questions • Captures the lead at the right moment Not a chatbot. An AI employee designed to guide buyers from their first message to a qualified sales opportunity.

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Cover image for Built an automotive demo for

Built an automotive demo for YUKTAAI — an AI Vehicle Advisor for used-car marketplaces. The demo shows how a shopper can go from: “I’m looking for a used car” to a confident vehicle decision through smart qualification, relevant car recommendations, vehicle-history signals, comparison support, and dealer lead capture. Instead of just showing hundreds of listings, YUKTAAI helps shoppers understand which vehicle fits their needs, which one they can trust, and what the next best step should be. From browsing to buying confidence.

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Cover image for Agentic AI Conversational Layer for

Agentic AI Conversational Layer for Real Estate and Property Booking Websites. Visitor → Qualified → Lead Generated → Site visit booked. That's the whole product, and this video is the proof — including full Arabic conversation and live calendar booking. Your ad spend brings the buyers. YUKTAAI makes sure they don't leave unqualified. yuktaai.com (http://yuktaai.com)

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AI Agent Orchestrator(9)

Karachi, Pakistan

AI Agent Developer | Web App Builder | Automation Specialist

New to Contra

AI Agent Developer | Web App Builder | Automation Specialist

Cover image for Teaching-Agent is an AI-powered educational

Teaching-Agent is an AI-powered educational

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Cover image for 🚀 Built Twin-Company-Agent — An

🚀 Built Twin-Company-Agent — An

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Cover image for 🚀 Built a Personalized AI

🚀 Built a Personalized AI

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Cover image for FastAPI Business Web Application
Built a

FastAPI Business Web Application Built a

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AI Agent Orchestrator(3)

proDublin, Ireland

AI SaaS Builder & Web3 Security Architect | Ship Fast

$1k+: Earned

2x: Hired

5.0: Rating

484: Followers

Expert

AI SaaS Builder & Web3 Security Architect | Ship Fast

Cover image for OFFICIAL SUBMISSION — ECHOES OF

OFFICIAL SUBMISSION — ECHOES OF TEMPLE LANE For the Base44 x Contra #GiveItAGlow Challenge, I chose a real Dublin business that has been part of my life since 2018: Temple Lane Studios and the Irish Rock ’n’ Roll Museum Experience. This was not a random business choice. Temple Lane has been my place to rehearse, reset, disconnect from everything else, and play proper fat rock ’n’ roll with the band. BEFORE The museum already had a strong identity and an established website for presenting its history, exhibitions, tours and visitor information. The opportunity was not to replace that foundation, but to explore an entirely new digital layer: one that could translate the atmosphere, memories and emotional character of the physical building into an experience people could enter. AFTER I built Echoes of Temple Lane — a live, publicly accessible Base44 experience designed as a cinematic digital exhibition. Visitors move through atmospheric memory rooms, recovered photographs, archival records, rehearsal spaces, personal performance moments and historical fragments. The journey includes the Room of Celebration, the Room of Punk, interactive archive elements and a final narrative sequence called The Last Echo. This is not a static redesign. It is an experience built around motion, sound, discovery and memory. AUTOMATION Visitors can submit their own Temple Lane memory through the exhibition. The memory_scribe AI agent helps shape each contribution into a guestbook-ready draft. The caretaker agent supports the exhibition experience, while the Caretaker Memory Digest workflow runs every three hours, gathers new visitor memories, prepares a moderated report and emails the guestbook digest for review. The workflow has been tested end-to-end with a real submission, and the attached dashboard proof shows the completed automation run. BUSINESS VALUE The system creates the foundation for a moderated, community-generated archive while reducing the manual work required to collect, organize and review visitor stories. The walkthrough video focuses on the immersive visitor experience. The attached screenshots document the complete transformation: — the original online presence — the finished Base44 experience — the AI agents — the scheduled automation — the successful workflow run — my genuine connection to Temple Lane Studios since 2018 Live experience: https://temple-lane-studios.base44.app Original website: https://irishrocknrollmuseum.com/ (https://irishrocknrollmuseum.com/)LinkedIn post: https://www.linkedin.com/posts/bobvasic_giveitaglow-giveitaglow-base44-ugcPost-7482178973616119808-rd78 (https://www.linkedin.com/posts/bobvasic_giveitaglow-giveitaglow-base44-ugcPost-7482178973616119808-rd78/?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAWbOcYBym9kgZZll4IyyFfT9tR-b1MMg5U)X post: https://x.com/RaptorLabsX/status/2076413890817400843?s=20 Built independently with @Base44 for the #GiveItAGlow Challenge. From a traditional museum website to a living digital archive. #Base44 #Contra #TempleLane #IrishRockNRollMuseum #Dublin #DigitalMuseum #InteractiveDesign #Automation #AI #BuildInPublic

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Cover image for This is not your typical

This is not your typical hackathon. Notion + AI agents opens up a completely new way of building workflows. If you’re serious about building, this is the one. Join here: https://on.contra.com/q6DNjf 🚀 @Notion x @Contra #notioncustomagentbuildathon (https://www.linkedin.com/search/results/all/?keywords=%23notioncustomagentbuildathon&origin=HASH_TAG_FROM_FEED)

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Cover image for Challenge submission is in judges

Challenge submission is in judges hands now. 🧠 https://on.contra.com/mJH8Qb (https://on.contra.com/mJH8Qb)This chalennge specifically was very personal to me, I would appreciate your like, comment and share, each like contibutes to my goal to make my music studio more famous and to reach out with the message to the world. On top of that, I have been building on Base44 for a year now, and became an official Partner, because @Base44 is my favourite building tool among competition, since its giving me full freedom regarding web development tech stack choosing, fine tuning of frameworks and libraries, frontier models and context preservation, and active Base44 community both on Discord and the platform itself. It would be nice to make it to top 3 at least and to give a surprise as an appreciation and grattitude to the Temple Lane Studios for giving us a retreat space for playing and enjoying our rock'n'roll music in this modern, fast paced world and way of living by just working hard 24/7 and somehow staying sane along the way. They wrote history, we are making it, for future generations to be able to take over after us. Take a look, hope you will enjoy the experience! Thank you to everyone for each like, share and support, it really means a lot ♥️

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Cover image for NULL is a complete mascot

NULL is a complete mascot system built for a fictional cybersecurity company, proving that a single character can remain instantly recognizable across branding, posters, merchandise, social campaigns, motion, and environmental storytelling. The project explores how strong character design becomes a cohesive brand by combining identity, world-building, and consistent visual language into one unified ecosystem. NULL is the quiet guardian of /dev/null, the hidden place where corrupted code and dangerous software disappear forever. Calm, observant, and endlessly patient, NULL finds vulnerabilities before attackers can exploit them, protecting developers without ever seeking attention. Rather than fighting threats with force, NULL simply ensures they quietly cease to exist. Every application in this project expands that idea while preserving the same recognizable identity. Project: https://www.recraft.ai/project/b49a3f35-5c69-43f6-8da1-f293bc7d618f (https://www.recraft.ai/project/b49a3f35-5c69-43f6-8da1-f293bc7d618f)@Recraft x @Contra

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AI Agent Orchestrator(2)

Full Stack AI Engineer | Claude, AI Agents & Automation

$1k+: Earned

2x: Hired

5.0: Rating

35: Followers

Expert

Expert

+1

Full Stack AI Engineer | Claude, AI Agents & Automation

Cover image for Agentic AI Persona Chat (Replit)
Agentic

Agentic AI Persona Chat (Replit) Agentic AI Persona Chat (Replit) is an interactive AI chat application built on Replit that enables users to converse with specialized AI personas—such as a Helpful Assistant or Socratic guide—designed to reason, guide, and act autonomously based on user intent. The project showcases agentic behavior, modular personas, and real-time conversational intelligence in a developer-friendly environment.

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Cover image for Day 23/30 Everyone’s still chasing 1000s of trash leads like...

Day 23/30 Everyone’s still chasing 1000s of trash leads like it’s 2020. Wrong. Lead gen died with volume. It lives with precision. I built a zero-human daily machine in n8n that outperforms a junior SDR + researcher + VA — and costs pennies: PhantomBuster → scrapes fresh LinkedIn leads on exact target keywords → auto cleans & dedupes → AI qualifies (role + relevance + buying intent) → drops only winners straight into Notion → fires hyper-personalized cold emails instantly → pings me in Slack so ZERO fall through cracks No Google Sheets hell. No copy-paste torture. No spraying & praying.Just a silent, ruthless lead engine that runs every morning while I drink coffee. If you’re still manually hunting leads in 2026… you’re not early anymore. You’re late. Drop 🔥 if this hits.#30Days30Automations #BuildInPublic #LeadGeneration

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Cover image for Implementation of ZizkaDB for Decision Logging

Implementation of ZizkaDB for Decision Logging

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Cover image for Agentic AI Persona Chat (Replit)
Agentic

Agentic AI Persona Chat (Replit) Agentic AI Persona Chat (Replit) is an interactive AI chat application built on Replit that enables users to converse with specialized AI personas—such as a Helpful Assistant or Socratic guide—designed to reason, guide, and act autonomously based on user intent. The project showcases agentic behavior, modular personas, and real-time conversational intelligence in a developer-friendly environment.

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AI Agent Orchestrator(2)

proMumbai, India

Product & Brand Studio: Design, Build, Ship. Webflow partner

2x: Hired

5.0: Rating

25: Followers

expert

Product & Brand Studio: Design, Build, Ship. Webflow partner

Cover image for Mr. Loop: Intelligent Onboarding Agent

Mr. Loop: Intelligent Onboarding Agent

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Cover image for Here is our latest project!

Here is our latest project! We created a seasonal mascot for the website of a Tomato Ketchup brand. The goal of the mascot is to invite users to the latest food contest hosted by this brand where the hero is their Tomato Ketchup. 🍅~🍝🍕🍟🌭🍔 ~🍅 The Mascot is interactive where: Hover → There is anticipatory animation nudging the user to click! Click → The character jumps before opening a new page. 🚀 Built on Rive 🚀

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Cover image for JAM Kajabi Coaching Website Development

JAM Kajabi Coaching Website Development

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Cover image for Let the records show, that we are about to drop some of the ...

Let the records show, that we are about to drop some of the coolest interactive UI. Stay tuned for more drops. 👀 🚀 Sound on! 🔊

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AI Agent Orchestrator(1)