BelliBind is a multi-role SaaS platform designed to support postpartum care, product commerce, specialist services, and administrative operations in one connected digital experience.
The platform was built to move beyond a simple e-commerce website and create a full operating system for the business. It includes tailored client onboarding, personalized assessment flows, specialist dashboards, agency management, product recommendations, order tracking, Shopify/Stripe integration readiness, admin approvals, training resources, and developer testing tools.
My focus was to design and structure a scalable application experience that could support multiple user types: clients, specialists, agencies, and administrators. Each role needed its own workflow, permissions, dashboard views, and operational actions while still connecting back to the same business process.
Key areas of the build included:
Client journey assessment for pregnancy and postpartum support
Specialist onboarding, approval, and client management workflows
Admin dashboard for pending actions, product management, users, orders, and service areas
Marketplace experience for recommending products to clients
Order management and fulfillment visibility
Shopify and Stripe integration planning
Training resource flows for education and specialist enablement
Test data generation and developer tools for QA and workflow validation
This project demonstrates my ability to take a complex business model and translate it into a structured SaaS platform with clean user flows, role-based experiences, operational dashboards, commerce logic, and scalable architecture.
The goal was not just to create screens - it was to create a system that could help the business manage care, commerce, specialists, clients, approvals, and growth from one unified platform.
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Your scenario is green. Three of its branches have never run.
Developers get unit tests, staging and CI. Everyone shipping on Make, n8n and Zapier gets a toggle. You turn the scenario on and watch it for a week.
That only ever finds the loud failures - a step errors, the platform goes red, you get an email. The expensive ones are silent: the run that passes every step and does the wrong thing.
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Spent this morning reading this feed instead of posting into it. Five builds, all real: lead scoring and routing, contract deadline compliance, an autonomous agent wired to four channels, an FAQ bot that escalates to a human.
Every one of them knows exactly what to do when a step fails. Retry, log, alert, post-mortem.
None of them, mine included, has an answer for the run where every step passes and the output is wrong. The lead scored cold that was hot. The bot that decided it could help. The deadline calendar that went stale because an addendum moved one date and nothing threw an error.
A failed step is loud. Being wrong is silent, and it costs more.
The only fix I have found that holds is structural rather than clever. The thing that does the work is never the thing that checks it. In my orchestrator the verifier is a separate agent that can only run verify steps, so it cannot execute the work it is grading. Not because models lie, but because a checker with a stake in the answer stops being a checker.
Genuine question for the people building these. Do you have a check that can actually contradict the step it is checking, or does the step grade its own homework?
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Treasury Router is an agent co-pilot that helps financial advisors find optimized investing routes for their HNWI clients to put idle capital to work. It walks the FA thru everything from investment discovery, timeline, risk, why it was an optimal choice or not, what to say to their client, prepares documented packets to present to the client, to keep on file internally, and even is connected to x402: an agent-to-agent payment gateway via Anchorage Digital Bank's Agentic Banking platform. *This is a private, client tool; screenshot shows the dashboard, public access is prohibited without request for a demo*
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Orelis is a custom 24/7 voice agent that always answers calls like your most reliable employee. Faith, has been trained on thousands of hours of high urgency calls across various high-ticket/high value industries, where her response timing, tone of voice, and conversation skills all come together to help you earn more money around the clock.
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Fullybuilt is an end-to-end version of Lovable and Replit that allows a user to start with an idea and have an agent orchestration layer go thru research, red report, offer suggestions for best PMF, generate a PRD, have a PM, SWE, design agent, GTM agent, copy-writing agent all work together to turn your idea into a working product
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