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

233: Followers

Expert

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

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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Cover image for Building on Zo isn't just

Building on Zo isn't just work - it's pure fun. The flow is so addictive that I’m officially down the rabbit hole and I'm not coming out. Build on Zo here: 👉 https://on.contra.com/QpQmPg

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AI Agent Orchestrator(4)

Keaton Williams

San Francisco, USA

AI Automation Consultant & Strategist

1x: Hired

20: 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)

Armughan Shahid

proIslamabad, Pakistan

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

New to Contra

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 Share the Light - Role-Based Tutoring Platform

Share the Light - Role-Based Tutoring Platform

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Cover image for We Step Together - Step-to-Donation Mobile App

We Step Together - Step-to-Donation Mobile App

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AI Agent Orchestrator(2)

proMálaga, Spain

Full Stack AI Engineer | Claude, AI Agents & Automation

$1k+: Earned

2x: Hired

5.0: Rating

32: 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)

proDublin, Ireland

Ping me from the edge of innovation | CTO at RaptorLabs.dev

$1k+: Earned

2x: Hired

5.0: Rating

407: Followers

Expert

Ping me from the edge of innovation | CTO at RaptorLabs.dev

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 Built RED for the Wonder

Built RED for the Wonder × Contra challenge. RED is an incident response workspace for cyber crisis teams — designed around one simple idea: Most security tools show what is happening. RED shows what to do next. I used Wonder to design the full product system: visual identity, landing page, incident overview, incident detail workspace, timeline reconstruction, evidence review, reports, promo frames, and a Codex/MCP-ready prototype direction. The result is a calm, dark, operational interface for high-pressure incidents: severity, phase, owner, evidence, AI review state, and report readiness all visible without the usual cyber-dashboard chaos. Live project: https://rred.pro (https://rred.pro)Wonder file: https://app.wonder.so/bobvasx/files/019f2df3-a77f-737a-a4ff-289a16bd67a5/branches/main/pages/019f2df3-a781-723e-ab43-f8b23c42a61d (https://app.wonder.so/bobvasx/files/019f2df3-a77f-737a-a4ff-289a16bd67a5/branches/main/pages/019f2df3-a781-723e-ab43-f8b23c42a61d)LinkedIn: https://www.linkedin.com/posts/bobvasic_wonderchallenge-ugcPost-7480019648571215874-1CS7/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAWbOcYBym9kgZZll4IyyFfT9tR-b1MMg5U @Contra x @Wonder

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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)

Jakarta, Indonesia

Mind of an engineer and the heart of an entrepreneur.

$50k+: Earned

1x: Hired

11: Followers

Mind of an engineer and the heart of an entrepreneur.

Cover image for Most LLM telemetry posts brag

Most LLM telemetry posts brag about what they monitor. Here's mine — including what I'm still missing. Built this for lokerdollar.com (http://lokerdollar.com), solo, in production: Covered: — p50 / p95 / p99 latency per task — cost per 1k tokens + daily burn + per-task spend — provider success rates + circuit breaker state — cache hit rate, quota / rate limit tracking — model leaderboard scored on live traffic Gaps I'm still chasing: — prompt versioning tied to quality signals — TTFT for streaming UX (matters for chat tasks) — per-user cost attribution — semantic error taxonomy, not just HTTP codes — push-based degradation alerts (today's playbook is reactive) The lesson from running this solo: observability is never "done." It's a backlog that evolves with the product — and the gap list is more honest signal than the green checkmarks. → Open for AI platform / full-stack work. If you want this layer for your team, my DMs are open.

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Cover image for The LokerDollar.com web up to

The LokerDollar.com web up to 85% faster in some cities — by moving our code farther from users. Sounds backwards. Here's why it worked. 1. The edge promise is seductive: run your code in 300+ cities, and it's milliseconds from every user. Newark, Sydney, São Paulo — all local. 2. Your code doesn't work alone. It talks to a database. And that database lives in one place. A single page render can mean 6+ sequential trips to it. 3. Put your compute "at the edge," and each of those trips crosses an ocean and comes back. The edge didn't remove the distance. It multiplied it. That's how a Sydney request quietly turned into seconds of pure waiting. The fix was one line of config Cloudflare smart placement stopped stop pinning our code next to the user, and run it next to the database instead. One long trip to reach compute, then all the DB chatter is local and nearly free. The result, measured on our own traffic (P90 — the slowest 1 in 10 requests): • Newark ↓ 85% • Sydney ↓ 82% • Melbourne ↓ 63% • São Paulo ↓ 60% and …12 cities faster overall The lesson I'm taking with me: Latency isn't about distance to the user. It's the number of long trips on the critical path. Put compute where it talks the most — for data-heavy apps, that's your database, not the edge. #WebPerformance #EdgeComputing #Cloudflare #BuildInPublic #SoftwareEngineering

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Cover image for Excited to share that Lokerdollar

Excited to share that Lokerdollar has been accepted into the Cloudflare for Startups program. Grateful for the chance to build something impactful. But the bigger story is what we're building. The world of recruiting and hiring is changing fast. In Indonesia alone, millions of people are losing their jobs — economic headwinds, the tech winter, and more. The core problem is a widening gap between industry and talent. That's why we're building an AI career operating system — an AI that acts as a trusted second brain for landing jobs, improving careers, and handling the manual work. Our platform curates jobs based on your interests and expertise, identifies which roles actually increase your chance of getting hired, and automatically fills out applications so you don't burn hours on paperwork and follow-ups. We're also building trust into the system. Sometimes AI screening flags too aggressively and rejects good candidates before a human ever reviews them. Our system catches this — because AI shouldn't be rejecting people. It should be helping them. We're starting in Indonesia, but the opportunity extends far beyond a single country. South Korea, Taiwan, Germany, Italy, the United Kingdom, and the United States are all facing aging populations and shrinking workforces — and they need new ways to connect with talent. Cloudflare has been instrumental in helping us move from concept to a working product in operation. But our vision is much larger than a curated remote job board. We believe every job seeker should have an AI hiring copilot, get continuous improvement between interviews, and that every company should have greater visibility into how they hire. The future of hiring isn't about replacing humans. It's about giving job seekers superpowers. If you're a job seeker, a recruiter, a fellow startup builder, an investor, or someone passionate about the future of hiring and recruitment — I'd love to connect. #FutureOfWork #CloudflareForStartups #BuildInPublic #CareerTech #StartupIndonesia

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Cover image for I didn't believe the TypeScript

I didn't believe the TypeScript 7 speed claims. So I benchmarked it on my own production app — not a toy repo. 1,358 source files. 260K+ lines. The live codebase behind lokerdollar.com (http://lokerdollar.com). One change: tsc → tsgo (TS7, rewritten in Go). Same tsconfig, same tree, --noEmit. Cold type-check: 77.1s → 11.6s. 6.6× faster. −85% wall-clock. Then the part most "10× faster" posts skip — I checked whether it still catches bugs. Seeded 4 classic type errors. Byte-identical diagnostics: same codes, same line and column. The speed isn't bought by missing errors. But I'm not putting it in your CI yet — and here's the honest reason: — It's a release candidate — The native binary drops the JS typescript API, so typescript-eslint type-aware rules, ts-morph, ts-node and ts-jest break — Custom transformers and incremental builds are still maturing My call: run it now as a fast local / pre-PR check, and keep tsc as the authoritative CI gate until 7.0 ships stable. You get a 6.6× tighter local loop with zero risk to the pipeline. The ~$190/year in saved runner minutes is rounding error. The real return is nobody waiting on a turtle. #TypeScript #DevTools #WebDev

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AI Agent Orchestrator(1)

Rulian Estivalletti

proPembroke, USA

Software Engineer - Web/Mobile, I drive AI, not vise versa.

$1k+: Earned

1x: Hired

5.0: Rating

5: Followers

Software Engineer - Web/Mobile, I drive AI, not vise versa.

Cover image for Bugjar is an app I

Bugjar is an app I created as an alternative to session recording services that pretty much steal all your user's data. They capture full dom - which includes content, which means people who use these services are just sending all their private user's data to these 3rd parties. So I made something that made 4 promises 1 - It never recorded anything until the user asked it to 2 - It didn't capture any data unless the user allowed it to 3 - Even when it's allowed to record data, it never captured any PII and 4 - All redactions are on the user side, never hits the server.

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Cover image for Wonderful Software (https://wonderful.so) is my

Wonderful Software (https://wonderful.so) is my portfolio piece. It's where I talk about my process, my portfolio, and my thought on questions people ask.

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Cover image for Show & Tell is a

Show & Tell is a tool I created for promoting my projects. Gathering marketing material can be quiet time consuming. Producing shareable product videos even more so. What I wanted was a way to allow AI to drive showcasing my projects.

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Cover image for Paperwork is project management without

Paperwork is project management without the management. It is built on my personal beliefs and philosophies around developing software instead of processes. Born out of a frustration of day to day development where i spend more time in Jira than in my IDE.

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AI Agent Orchestrator(1)

proMumbai, India

UI/UX | Development | Brand Identity | Marketing | Packaging

1x: Hired

8: Followers

UI/UX | Development | Brand Identity | Marketing | Packaging

Cover image for Mr. Loop: Intelligent Onboarding Agent

Mr. Loop: Intelligent Onboarding Agent

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Cover image for For the Base44 challenge, we

For the Base44 challenge, we chose a sweet little coffee roastery in our city, that has been supplying the city with coffee for 54 years: Kumardhara Coffee. As iconic and essential as this business has been to fuelling the city's coffee demand, its online presence didn't do justice to its expertise, its rich selection of the finest beans, or the incredible story of the people behind it. A 54-year legacy this rich deserved to be discovered, not stumbled upon. Which is precisely why we chose Kumardhara Coffee. Current website: https://www.kumaradharacoffee.com/ (https://www.kumaradharacoffee.com/)What we built using Base44: https://kumardhara-coffee-experience.base44.app (https://kumardhara-coffee-experience.base44.app)Check out our video below! 👇 Our build approach🔨 •⁠ ⁠We designed the landing page to unravel the full Kumardhara experience through micro-animations and added small moments of delight that mirror the care that goes into every roast. •⁠ ⁠The layout, visual style, and image composition were crafted in Base44 through a detailed PRD alongside the finalized assets. •⁠ ⁠Framer Motion, built directly within Base44, powered the subtle interactions woven throughout the site. How we used Agents in Base44🤓 Coffee can be intimidating for newcomers, so we built an experience to guide them in. Our "Coffee Brewmaster" agent helps people discover their taste, then points them toward the right beans and brew method, thus turning a moment of hesitation into a confident first cup. The automation we included⚙️ We also opened a window into the roastery's community. Through the new site, users can discover upcoming coffee experiences, events, and workshops hosted at the micro-roastery and also book to attend them, all directly through the site! The result💡 An online home that finally matches the craft in the cup: a landing page that carries Kumardhara's 54 years of expertise, welcomes newcomers as warmly as regulars, and gives a beloved local roastery the digital presence it has always deserved. Our next step🚀 From here, we want to bring the work full circle and present the site to the Kumardhara team, turning this challenge build into a lasting home for their brand online.

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Cover image for AI SAAS product launch video

AI SAAS product launch video built on Jitter.

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Nomi Brand Identity and Packaging Design

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AI Agent Orchestrator(1)