A four-person AI Mastery team built a tool that aligns teams before kickoff

AI MASTERY PROJECT SynergAI COMPREHENSIVE PROJECT SUMMARY PROJECT OVERVIEW SynergAI is an AI-powered team alignment tool designed to prevent team misalignment by facilitating clarity and alignment before projects begin. The system operates through a three-phase pipeline: •        Phase 1 – Input & Profiling: Each team member completes a personalized AI-driven interview (≈15–20 minutes) that generates a structured JSON profile containing their skills, passions, work style preferences, constraints, values, and collaboration patterns. •        Phase 2 – Alignment & Analysis: The system analyzes all team profiles together to produce a Team Signature — a comprehensive map of shared passions, capability clusters, shared values, key constraints, and missing critical skills. •        Phase 3 – Output & Recommendations: Based on the Team Signature, the system generates 3–5 viable project proposals ranked by fit, each with a business concept, role mapping, constraint/risk analysis, and gaps to fill. It concludes with a strategic recommendation and offers to drill deeper into the preferred option, including a detailed implementation plan with specific tasks per team member. The tool combines psychology, organizational design, matching algorithms, business architecture, and artificial intelligence into a unified platform that transforms how teams discover and launch collaborative projects.     TEAM MEMBERS The SynergAI project was built by the following team, registered through the AI Mastery program on Mindvalley: Name Email Claudia Bres claudia.allende@live.com.mx Christiana Carter christiana@claritymapping.com Jehan Sandra Salem jehansalem@gmail.com Elizabeth Romero romeroluther@gmail.com     SYSTEM EVOLUTION — THREE STAGES SynergAI is designed to evolve through three stages, each reducing friction and increasing automation while maintaining the same core intelligence. Below is the detailed workflow for each stage. Evolution Comparison Feature Stage 1 Current Stage 2 N8N Stage 3 Web App Team Registration Airtable Form Airtable Form In-app Member Onboarding Airtable Form + Email Airtable Form + Email In-app invitation Interview Custom GPT link Custom GPT link Embedded in platform Profile Handling Manual: copy, save, upload Automatic capture Automatic capture Completion Tracking Leader checks email Automatic detection Real-time dashboard Analysis Trigger Leader uploads manually Automatic Automatic Results Delivery Leader sees in GPT Email to all members Interactive in-app Team Collaboration Outside the system Discussion + voting Full in-app collaboration Implementation Plan Leader requests in GPT Auto after vote Auto, visible to all STAGE 1 — CURRENT IMPLEMENTATION Manual workflow with Airtable forms, Custom GPTs, and email automations This is the working version currently in production. The team leader drives the process, and team members interact through forms and email links. 1 Team Registration The team leader opens an Airtable form to register the team. They enter the team name, their name, and their email address. This creates the team record in the system. Register Team Here 2 Leader Receives Instructions The leader receives an automated email with complete process instructions, a link to add team members if he hasn´t done it before, a link to the personalized interview (Phase 1 GPT), and a link to upload profiles. This email serves as their roadmap for the entire process. 3 Register Team Members The leader is redirected to a second Airtable form to register each team member with their name and email address. 4 Members Receive Instructions Each registered team member receives an automated email explaining that they have been added to the team. The email includes the link to their personalized interview and the link to upload their profile once complete. 5 Complete the Interview Each team member (including the leader) accesses the Phase 1 Custom GPT and completes a personalized interview lasting approximately 15–20 minutes. The GPT generates a JSON file containing their profile analysis. 6 Save the Profile Each member copies and pastes the JSON output into a .docx or .txt document and saves it to their computer. 7 Upload the Profile Each member uploads their profile document through the Airtable upload form provided in their email. 8 Leader Receives All Profiles Once all team members have uploaded their profiles, the leader receives an automated email containing all the profile files attached, ready for the next step. 9 Generate Project Proposals The leader downloads all profile files to their computer and accesses the Phase 2 Custom GPT (Project Generator). They upload all profiles at the same time so the system can analyze the team as a whole. The GPT produces: (1) a Team Signature with shared passions, capability clusters, values, constraints, and missing skills; and (2) 3–5 ranked project proposals with role mapping, risk analysis, and gap identification. (Real Output Example at the end of this document) 10 Explore and Deepen The leader can continue interacting with the Phase 2 GPT to explore the preferred project in depth, eventually obtaining a detailed implementation plan with specific tasks assigned to each team member. Key Characteristics of Stage 1 •        Fully operational and tested •        Manual steps: copy/paste JSON, save as document, upload via form •        Leader-driven process — the leader orchestrates and triggers Phase 2 •        Email-based communication at every stage •        All data stored in Airtable STAGE 2 — N8N AUTOMATION Automated workflow eliminating manual file handling and triggering analysis automatically In this stage, N8N workflow automation removes the manual friction from the process. The core intelligence remains the same, but the human no longer needs to handle files. 1 Team Registration Same as Stage 1 — the leader registers the team and members through Airtable forms. 2 Automated Emails Same as Stage 1 — the leader and all members receive their respective instruction emails with interview links. 3 Complete the Interview Each team member completes the personalized interview through the Phase 1 Custom GPT. This step remains the same — the human interaction with the interview is essential for quality. 4 Automatic Profile Capture N8N automatically captures the JSON profile output from the interview. The member no longer needs to copy/paste into a document or upload it manually. The profile is stored directly in the system. 5 Automatic Team Analysis Trigger Once all team members’ profiles have been captured, N8N automatically detects completion and triggers the Phase 2 analysis. No human intervention required. 6 Automatic Proposal Generation The system automatically generates the Team Signature and 3–5 ranked project proposals. This happens without the leader needing to download files or access the Phase 2 GPT manually. 7 Team Receives Proposals by Email All team members (not just the leader) receive an email with the complete analysis: Team Signature and project proposals. This enables the entire team to review the options. 8 Team Votes on Preferred Project Team members discuss the proposals and vote on their preferred project. 9 Detailed Implementation Plan Once a project is selected, the system generates a detailed implementation plan with specific tasks, timelines, and assignments for each team member. What Changes from Stage 1 •        Eliminated: Copy/paste JSON into a document, saving files, uploading files via form, leader downloading all profiles, leader manually accessing Phase 2 GPT •        Automated: Profile capture, completion detection, Phase 2 trigger, proposal generation, delivery to all team members •        New: All team members receive proposals (not just leader), team voting mechanism, automatic implementation plan after vote STAGE 3 — WEB APPLICATION Fully integrated web/app experience with user accounts, real-time dashboards, and self-service interaction In the final stage, the entire experience lives on a dedicated website or app. Users interact with a unified interface from start to finish, with full visibility into the process. 1 User Registration Any user creates an account with username and password. One or multiple users can register a team and add team members directly from the platform. 2 Team Setup The user creates a team, names it, and invites members. Invited members receive a notification to join and create their own accounts if they don’t have one. 3 Personalized Interview Each team member is directed to their personalized interview directly from the platform. The interview experience is embedded or seamlessly linked within the app. 4 Automatic Profile Storage Upon completion, the interview results are automatically saved to the user’s profile within the system. No file handling of any kind. 5 Real-Time Progress Dashboard All team members can see in real time who has completed their interview and who hasn’t. This creates visibility and gentle accountability without the leader needing to follow up manually. 6 Automatic Analysis & Proposals Once all members have completed their interviews, the system automatically generates the Team Signature and 3–5 ranked project proposals. No trigger needed — it happens seamlessly. 7 Interactive Results All team members can view, explore, and interact with the Team Signature and project proposals directly on the platform. They can ask follow-up questions, compare options, and dive deeper into any proposal. 8 Team Collaboration & Selection The team discusses, votes, and selects their preferred project within the platform. The system generates the detailed implementation plan with tasks per member, all accessible from the dashboard. What Changes from Stage 2 •        Eliminated: Email-based communication as the primary channel, external form links, need for leader to orchestrate the process •        New: User accounts with authentication, real-time progress dashboard, embedded interview experience, interactive results exploration, in-platform team collaboration and voting, self-service from start to finish ACHIEVEMENTS System Architecture We structured a complete system to: •        Extract working and collaboration profiles (Team DNA) through personalized AI interviews •        Convert interviews into actionable, structured JSON profiles •        Map qualitative answers into structured fields including passion clusters, capability clusters, values, constraints, and missing skills •        Design automated logic for typology classification •        Integrate Airtable as an operational knowledge base with relational data •        Design a second GPT that generates a Team Signature and 3–5 viable project proposals with role mapping, risk analysis, and gap identification •        Explicitly incorporate AI into the business model •        Design collaborative income-generating models Operational Pipeline (Working Implementation) The team successfully built and tested an end-to-end operational pipeline: •        Intake forms for team registration and member onboarding (designed with custom branding) •        DNA profile collection through a Custom GPT personalized interview (≈15–20 minutes per member) •        JSON profile ingestion and storage in Airtable •        Automated email notifications for team leaders and members via Airtable automations •        N8N workflow integration for processing automation •        Phase 2 GPT analysis that produces: (1) a Team Signature with shared passions, capability clusters, values, constraints, and missing skills; and (2) 3–5 ranked project proposals with role mapping, risk assessment, and strategic recommendations Strategic Milestones •        Clear separation between Phase 1 (individual profiling) and Phase 2 (team analysis + project generation) •        Defined structured fields that allow scalability •        Designed measurable indicators: ai_readiness, revenue_urgency, structure_dependency, execution_mode •        Began modeling predictive team typologies •        Designed and tested a system capable of generating 3–5 viable project proposals automatically, ranked by team fit •        Successfully tested the full pipeline with the project team itself as the first use case TOOLS USED Technical Tools •        Custom GPTs — Dual architecture: Phase 1 Profiler (personalized interview + JSON profile generation) + Phase 2 Project Generator (Team Signature + ranked project proposals) •        Airtable — Relational database for team data, member profiles, automations, and form management •        N8N — Workflow automation platform for processing pipelines and data orchestration •        JSON profile ingestion and structured data parsing •        Conditional formulas and typology classification logic •        Mathematical compatibility logic for team matching •        Airtable Forms — Custom intake forms for team creation, member registration, and profile upload •        Automated email systems — Triggered notifications for leaders and members at each workflow stage •        Google Drive — Shared file storage and team collaboration workspace Content & Media Tools •        Higgsfield — AI video generation for product demos and presentations •        NotebookLM — AI-powered research and document analysis for content development •        CapCut — Video editing for promotional and instructional content Conceptual Tools •        Team DNA Framework (proprietary) •        Compatibility matching logic •        Revenue-first prioritization •        AI readiness scoring Strategic Tools •        Clear separation between diagnosis and execution •        Role modeling and authority clarity •        Collaboration risk prevention •        Viability-first project design METHODOLOGIES 1. Structured Interview → Structured Data Turning narrative into measurable variables. The personalized interview collects qualitative responses and converts them into structured JSON profiles with defined fields that the system can analyze and compare. 2. Profile → Emergent Team Pattern Recognition Analyzing team dynamics, not just individuals. By processing all team members’ profiles together, the system identifies shared passion clusters, complementary capability groupings, aligned values, individual constraints, and missing skills. 3. Constraint-Based Project Design Projects are designed from real constraints, not wishful thinking: –        Real availability (e.g., total team hours per week, remote-only requirements) –        Income urgency –        Risk tolerance –        Structural needs –        Individual boundaries (e.g., specific roles a member will not perform) 4. AI-Assisted Viability Filtering AI is used as a logical filter, not inspiration. The system applies structured rules and compatibility logic to evaluate whether project proposals are truly viable for the specific team, including gap analysis for skills the team lacks. 5. Revenue-Impact-Energy Prioritization Model Project proposals are ranked and scored based on: –        Revenue potential –        Impact –        Team energy alignment 6. Anti-Chaos Design Principle The system prevents common collaboration failures from the start: –        Role ambiguity — each proposal includes explicit role mapping per team member –        Unclear authority — each proposal designates leads by function –        Over-functioning — roles respect individual constraints and boundaries –        Lack of commitment — proposals are designed for short cycles (2–4 weeks) 7. Iterative Build-Test-Improve Approach Start with a basic working model, test it, then gradually add complexity. The system itself recommends this to its users: “Ship fast. Test with beta users. Iterate or pivot based on signal.” LEARNINGS Strategic Learnings •        Structure must be defined from the beginning — undefined authority creates chaos •        Over-functioning emerges when roles and commitments are not clear •        Converting chaos into structure is a core strength that can be systematized through AI •        Designing systems is more valuable than micromanaging execution •        Team commitment matters more than formal project management structures •        Working on the project itself concretized theoretical knowledge into practical skill Technical Learnings •        Fields must be defined before automation — raw data must be separated from processed fields •        GPT requires explicit, precise instructions — it does not assume common sense •        CSV/JSON is more scalable than free text for data processing •        Logic must be declared, not implied — ambiguity produces inconsistent results •        Understanding what is being prompted is as important as the prompt itself •        Debugging and simplifying are key skills in AI development AI Learnings •        AI performs best with structure — without defined fields, it improvises unpredictably •        With clear rules, AI can scale decision-making effectively •        Strategic clarity can be converted into algorithmic logic •        Start simple, test, then add complexity — never the other way around •        Gathering insights from team members and managing flexible inputs is critical when working asynchronously Collaboration Learnings •        Building from scratch leads to deeper internalization of functions and operations than using templates •        Asynchronous collaboration requires clear handoff protocols and communication triggers •        The product can be replicated and adapted for corporate use, particularly for role assignment and team collaboration •        Real-world testing with the team as the first users provided invaluable feedback for rapid iteration Interdisciplinary Nature This project uniquely combines: –        Psychology — understanding individual and group dynamics –        Organizational design — structuring roles, authority, and workflows –        Matching algorithms — compatibility analysis across multiple dimensions –        Business architecture — viability-first project design –        Artificial Intelligence — GPT-powered profiling and proposal generation REAL OUTPUT EXAMPLE The following is a real example of what the SynergAI system delivers. The output has two parts: a Team Signature (team analysis) and Ranked Project Recommendations. OUTPUT 1 — TEAM SIGNATURE Team Name: The Alignment Lab Shared Passions (Top 3 Clusters) •        Clarity & Simplification — Turning chaos, vague ideas, and overwhelm into structured, usable systems (Sandra, Christiana, Marcus, Jasmine). •        Story + Product Integration — Building real, tangible products supported by strong narrative and positioning (Jasmine, Sandra, Marcus). •        Impact-Driven Work — Educational, social, personal, or community uplift through products rather than pure services (all profiles). Strongest Capability Clusters (Top 3) •        Rapid Product Prototyping + Automation: Backend systems, APIs, MVP builds (Marcus); AI workflow design (Marcus + Christiana). •        Brand Voice, Messaging & Launch Strategy: Storytelling frameworks, copywriting, launch execution (Jasmine); Sales messaging, narrative design (Sandra). •        Clarity Architecture + Structural Thinking: Turning complexity into structure (Christiana); Visual concept simplification (Sandra). Shared Values / Motivators •        Small, focused teams with clear ownership •        Short, tangible shipping cycles (2–4 weeks ideal) •        Clear roles and authority •        Real product output (no “all-talk” projects) •        Creative autonomy with structure Key Constraints •        Total available hours per week across team ≈ 25–40 •        Remote only •        1–3 month preferred timeline •        Marcus will not handle sales/content/social •        Jasmine will not handle backend tech •        Christiana prefers not to own backend systems •        Sandra needs reasonable pacing and non-chaotic deadlines •        All members react negatively to indecisiveness and scope creep Missing Critical Skills •        Paid acquisition / performance marketing •        Legal/compliance •        Financial modeling & forecasting •        Dedicated QA/testing •        Enterprise sales OUTPUT 2 — PROJECT RECOMMENDATIONS Ranked strongest match first. ⭐ #1 — AI Clarity Sprint Toolkit Business Idea: A structured 2–4 week AI-powered product that helps overwhelmed founders turn messy ideas into clear positioning, messaging, and a simple MVP roadmap. Role Mapping: Technical Lead (Marcus) | Creative/Brand Lead (Jasmine) | Visual Systems Designer (Sandra) | Framework Architect (Christiana) Constraints: Tight scope definition required. Must avoid feature creep. Needs clear decision authority. Gaps: Landing page optimization, paid acquisition testing. Fit: ⭐⭐⭐⭐⭐ #2 — AI Podcast-to-Product Engine Business Idea: A tool that turns podcast episodes into structured product ideas, messaging frameworks, and lead magnets automatically. Role Mapping: Marcus (Automation) | Jasmine (Content strategy) | Sandra (Brand visuals) | Christiana (Productization) Fit: ⭐⭐⭐⭐ #3 — Founder Alignment Operating System Business Idea: An AI-assisted operating system for small teams to prevent chaos, misalignment, and burnout during product sprints. Role Mapping: Marcus (Dashboard) | Christiana (Governance) | Jasmine (Onboarding) | Sandra (UX) Fit: ⭐⭐⭐⭐ #4 — Educational Micro-Course Builder Business Idea: A tool that turns expertise into a structured micro-course (curriculum + messaging + landing assets) in 14 days. Role Mapping: Christiana (Curriculum) | Jasmine (Marketing) | Marcus (Prototype) | Sandra (Visual packaging) Fit: ⭐⭐⭐ STRATEGIC RECOMMENDATION Start with a 2–4 week Clarity Sprint MVP. Ship fast. Test with 10 beta users. Iterate or pivot based on signal. This team is optimized for short-cycle product incubation, not long service engagements. The system also offers to: draft a 30-day execution roadmap, map a beta launch strategy, or pressure-test the #1 idea for revenue viability. 30-DAY EXECUTION ROADMAP When the team selected the #1 project proposal (AI Clarity Sprint Toolkit), the following prompt was given to the Phase 2 GPT: Prompt: “Draft a 30-day execution roadmap with defined roles for each person” The system generated the following detailed roadmap, demonstrating how SynergAI goes beyond project proposals to deliver actionable implementation plans with specific tasks, timelines, and role assignments for each team member. Project: AI Clarity Sprint Toolkit (Digital Product) Format: 2–4 week beta-ready MVP Goal: Ship a functional, sellable MVP and onboard 10 beta users by Day 30 Overview Structure •        Week 1: Define + Architect •        Week 2: Build + Brand •        Week 3: Integrate + Beta Prep •        Week 4: Launch + Iterate Cadence matches: Marcus (sprint cycles), Christiana (structured intensity), Jasmine (launch rhythm), Sandra (steady asset refinement). WEEK 1 — DEFINITION & STRUCTURE (Days 1–7) Outcome: Clear scope, defined user journey, locked MVP feature list Christiana — Framework Architect (Lead This Week) Primary Focus: Clarity Sprint Structure •        Define 4-phase sprint structure (e.g., Dump → Distill → Decide → Design) •        Create milestone map for 14-day user journey •        Define user inputs + expected outputs •        Identify emotional friction points in process •        Lock decision-making structure for team Deliverables: Sprint Blueprint, User Journey Map, Role Clarity Agreement Marcus — Technical Lead Primary Focus: Architecture Planning •        Decide stack (lightweight web app + AI API) •        Define data structure •        Outline automation flow •        Identify integration needs •        Create MVP feature boundary doc Deliverables: Tech Architecture Diagram, MVP Feature Scope List (locked), Build Timeline Jasmine — Brand & Positioning Lead Primary Focus: Positioning + Beta Messaging •        Define target niche (must narrow) •        Craft core value proposition •        Draft 1-line transformation statement •        Define tone of voice •        Outline beta offer positioning Deliverables: Messaging Doc, Beta Positioning Statement, Early Landing Copy Draft Sandra — Visual Systems Designer Primary Focus: Visual Direction •        Create mood board •        Define brand personality visually •        Draft low-fidelity UX wireframes •        Outline visual clarity system Deliverables: Brand Direction Board, Wireframe Mockups, Visual Clarity Principles WEEK 2 — BUILD & BRAND (Days 8–14) Outcome: Functional internal prototype + brand system complete Marcus •        Build backend logic •        Connect AI workflows •        Create input/output flow •        Deploy internal test version Goal: Internal working version by Day 14. Christiana •        Write core prompt structures •        Refine framework logic •        Test clarity sequence manually before automation •        Create facilitator guide (optional upsell path) Jasmine •        Write onboarding copy •        Draft beta email sequence (3–5 emails) •        Script demo walkthrough •        Prepare webinar outline (if used) Sandra •        Design UI elements •        Create brand kit (logo, type, color) •        Build visual templates for outputs •        Polish dashboard UX WEEK 3 — INTEGRATION & BETA PREP (Days 15–21) Outcome: Beta-ready MVP + audience warmed Marcus •        Fix bugs •        Optimize AI response quality •        Add simple analytics tracking •        Lock feature freeze Christiana •        Run 2 internal test simulations •        Stress-test structure for overwhelm gaps •        Refine milestone checkpoints Jasmine •        Open beta waitlist •        Publish 3 authority-building posts •        Record demo video •        Start DM outreach to warm leads Sandra •        Final UI polish •        Create shareable visuals •        Design beta onboarding PDF •        Prepare launch graphics WEEK 4 — BETA LAUNCH & OPTIMIZATION (Days 22–30) Outcome: 10 beta users onboarded, real feedback collected Days 22–24: Soft Launch •        Invite warm audience first •        Run live demo (optional) •        Collect early signups Marcus: Monitor system live, fix technical issues fast, track usage patterns. Jasmine: Lead demo or webinar, convert waitlist, send follow-up emails. Christiana: Facilitate first sprint check-in, monitor emotional friction points, collect qualitative feedback. Sandra: Support beta users with visual outputs, capture screenshots/testimonials, refine assets based on feedback. Days 27–30: Optimization •        Collect feedback survey •        Identify top 3 friction points •        Decide: Iterate, Expand, or Pivot Role Authority Map To prevent shutdown triggers, each domain has a single final decision-maker: Domain Final Decision Authority Technical decisions Marcus Brand / messaging decisions Jasmine Structure / process decisions Christiana Visual / UX decisions Sandra No cross-over veto unless it affects core domain.     Time Load Reality Check Estimated weekly commitment: •        Marcus: 8–12 hours/week •        Jasmine: 6–10 hours/week •        Sandra: 10–12 hours/week •        Christiana: 5–8 hours/week Fits stated availability windows and 1–3 month commitment range. Risk Management Biggest risk = scope creep. Mitigation Rule: If a feature does not directly support the 14-day clarity transformation → cut it. By Day 30 You Should Have •        Working MVP •        10 beta users •        Real feedback •        Case study material •        Clear signal on scalability The system also offers next steps: break this into a Notion-ready project board, create a RACI accountability matrix, draft the beta offer pricing structure, or stress-test revenue potential against market demand.