FlexBook

FlexBook

Personal trainer booking platform with trainer profiles, availability calendars, session scheduling, and package management. Part of the 777-1 Experiment: 7 projects, 7 context engineer subagents, 7 case studies, one algorithm for predicting prompt failures.

Project Demo

English video coming soon

Tech Stack

Next.js 14
TypeScript
Tailwind CSS
Zustand
localStorage
Framer Motion
React Hook Form
Zod
date-fns
Lucide React

About This Project

FlexBook is a booking platform connecting clients with personal trainers. Users can browse trainer profiles, view specializations and certifications, check real-time availability, and book training sessions. Trainers manage their schedules, set pricing, and track client progress. This project is part of the 777-1 Experiment, built with a "goldilocks zone" prompt that is intentionally underspecified to test how AI models handle ambiguity. After initial generation, 7 context engineer subagents (Amber, Kristy, Micaela, Lindsay, Eesha, Daniella, and Cassandra) will review the application in sequence, each focusing on their specialized domain. The findings will be documented in a case study that contributes to developing an algorithm for predicting prompt failures before they happen. As a complex project with implicit authentication (browse trainers freely, sign in to book), FlexBook tests state isolation challenges where trainer availability and client bookings must remain perfectly synchronized.

Related Projects

AI Prompt Engineering Toolkit
Technical

AI Prompt Engineering Toolkit

Platform for predicting prompt failures before they happen, powered by 7 context engineer subagents derived from 129 code reviews. Currently running the 777-1 experiment: 7 projects, 7 case studies, one algorithm.

Next.js 14TypeScriptTailwind CSSZustandRecharts+4
Prisca Onyebuchi - Full-Stack Developer & AI Integration Specialist