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Bardie AI

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Project

Bardie

Date

Tasks

March 2026

Product Design
IT & Sales Strategy
Prompt Engineering
RAG Architecture
PHP Backend
AI Fine-Tuning
Vibe Coding

An Engineering Kerning LABS® Case Study

Engineering a production-ready AI sales agent, from zero to deployment in 7 days. I built Bardie, a proprietary RAG system and multi-tenant PHP infrastructure to prove that generative AI can autonomously execute complex sales methodologies.


#1 The Vision

Most AI systems are built to answer questions. Bardie was built to close deals. The vision behind this project was to close the gap between technical automation and human sales psychology — transforming a generative AI from a passive support tool into a high-performance commercial agent capable of executing complex methodologies like ZMOT and Three Gaps across multiple Buyer Personas simultaneously.

The result is a fully deployed Generative AI system (RAG) purpose-built for pre-booking automation, taken from concept to functional product in a 7-day development cycle. Built on a validated sales core powered by Groq, an asynchronous messaging architecture via SMTP and Cron Jobs, and a scalable multi-instance infrastructure, Bardie manages complex sales flows and real-time data synthesis natively — integrating with email protocols or chatbots, and architected from day one for final scaling on Gemini 2.5.

#2 Strategic Core

The core challenge was engineering a sales agent capable of executing ZMOT and Three Gaps methodologies across 7 distinct Buyer Personas with zero hallucinations and full contextual precision. This required building a RAG knowledge base that could handle complex, multi-persona conversations while maintaining strict response accuracy at every touchpoint.

The solution was architected around a proprietary PHP core (Instille Multi), ultra-fast inference via Groq, and a fully asynchronous messaging layer powered by SMTP and Cron Jobs. The result was a complete operational ecosystem including AI log dashboards, system mapping, and technical documentation shipped end-to-end in 7 days.

  • Inference Engine & Scalability: Initial implementation with Groq (LPU) for minimum latency in the PoC phase, with a decoupled architecture ready for migration to Gemini 2.5.
  • Proprietary Middleware (Instille Multi): Orchestrator built in PHP with a multi-instance architecture, enabling the deployment of multiple isolated environments (motorcycles, boats, etc.) under a single logical core.
  • RAG Architecture (Retrieval-Augmented Generation): Dynamic knowledge base with hierarchical dependency injection to ensure precise responses grounded in 7 Buyer Persona archetypes.
  • Async Communications Management: Integration of SMTP protocols and automation via Cron Jobs for managing sales threads and automated responses 24/7.
  • Monitoring & Control (System Dashboard): Centralized control panel for supervising AI logs, SMTP server status, and real-time traceability of conversation flows.
  • System Mapping & Technical Documentation: Fully documented architecture, including logical process mapping, decision flows, and implementation guides for product scaling.
  • Frontend & Conversion Assets: Deployment of high-speed Landing Pages and end-user Dashboards focused on pre-sale metrics visualization and lead capture.

Instille Multi PHP injector RAG
dashboard_bardie
Dashboard Email PoC v0.12 — Groq LLaMA 3.3

#3 Work Process

The Challenge: Can a production-ready AI sales agent capable of executing complex selling methodologies, be built and deployed in just 7 days? This project was a technical sprint to transform a generative AI concept into a fully functional pre-booking engine. Starting from zero, the entire stack was architected and shipped: from the RAG knowledge base and multi-tenant PHP middleware to async messaging infrastructure and real-time monitoring dashboards.

Every decision was made to eliminate the gap between sales psychology and technical automation deploying a system that thinks, responds, and converts 24/7 without human intervention.

Generative AI Sales Engine — Concept to Deployment
7 days
Day 01
Sales Logic & Prompt Engineering
ZMOT & Three Gaps framework — 7 Buyer Personas RAG knowledge base
Methodology
Day 02
Instille Multi — PHP Middleware
Multi-tenant orchestrator — isolated instances from a single logic core
Architecture
Day 03
Groq LPU Inference Engine
Ultra-low latency PoC — decoupled & Gemini 2.5 migration-ready
Inference
Day 04
Async Messaging — SMTP & Cron
Autonomous email threads & sales sequences running 24/7
Automation
Day 05
RAG Synthesis Module
Bulk product data → auto-structured knowledge with hierarchical injection
Data
Day 06
System Dashboard & Docs
AI log monitoring, SMTP status & full system mapping documentation
Control
Day 07
Frontend & Live Deployment
High-speed landing pages, lead dashboards — fully deployed
Launch
End result
Deployed AI Sales Engine — Gemini 2.5 Ready
7 days

  • 01. Prompt Engineering & Sales Logic: Defined the business logic framework based on ZMOT and Three Gaps methodologies, modeling the RAG knowledge base for 7 Buyer Personas — zero hallucinations by design.
  • 02. «Instille Multi» Architecture: Evolved the injector into a multi-tenant PHP infrastructure, enabling instant deployment of isolated instances with pre-configured cores under a single logical engine.
  • 03. Async Implementation (PoC): Integrated Groq for ultra-fast LPU inference and built the messaging engine via SMTP and Cron Jobs, enabling autonomous management of sales flows 24/7.
  • 04. Automatic RAG Optimization: Deployed a synthesis module that processes large-scale product datasets and automatically converts them into AI-optimized knowledge structures with hierarchical dependency injection.
  • 05. Fine-Tuning & Gemini Scaling: Refined Bardie’s core through iterative optimization of sales processes and email threads. This phase consolidates the methodology to transfer the trained «brain» from the PoC into the final production infrastructure on Gemini 2.5, ensuring superior performance in the commercial release.

#4 Results

Bardie compressed what typically takes months into a 7-day delivery cycle — from blank canvas to a fully operational lead-capture system. The pre-booking engine runs autonomously, managing 3 to 4-email sales sequences with full contextual coherence and zero human intervention.

Built on a multi-tenant architecture, the platform is designed to scale across unlimited business instances, each with independent product catalogs and fully customizable sales logic. The PoC was validated with real client interactions email sequences delivered, responded to, and converted autonomously, confirming the system’s readiness for full commercial rollout. 🚀😊

logo_bardie

Explore the final deployment
An AI sales engine, delivered in record time.

View the landing

ClickConvert thumnail

ClickConvert

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Project

ClickConvert

Date

Tasks

March 2026

Product Design
IT Strategy
Business Arch.
Branding
Web
ERP
Vibe coding

An Engineering Kerning LABS® Case Study

Designing a high-performance conversion framework from the ground up. I built this proprietary PHP framework and ClickFlow® engine to prove how custom MVC and surgical UX transform hypotheses into high-ROI infrastructures.


#1 The Vision

Most businesses are inadvertently bleeding ROI by relying on «bloatware-heavy» CMS platforms. These generic systems are built for the masses, sacrificing loading speed and user experience for a suite of features that offer zero value to a high-ticket sales funnel. In a world where every millisecond costs money, «standard» is no longer enough.

ClickConvert was born from a radical philosophy: Surgical Precision. It isn’t just a website; it’s a proprietary Full-stack PHP infrastructure engineered to bridge the gap between digital traffic and actual revenue. By applying a strict MVC architecture and «Zero-Bloat» coding, I have stripped away the technical debt of traditional systems to prioritize what truly matters: speed, traceability, and conversion.

With a native 98%+ Lighthouse performance and sub-100ms response times, ClickConvert ensures that the path from a Google Ads click to a qualified lead is frictionless. The vision is to transform technical excellence into a business weapon—moving beyond vanity metrics to focus on a single, uncompromising goal:
The Maximum Conversion.

#2 Strategic Core

ClickConvert isn’t just a website; it’s a dynamic sales funnel. My workflow integrates market-fit research with a proprietary ClickFlow system:

  • Step-up Profiling: Instead of long, friction-heavy forms, the framework uses a progressive qualification logic. It captures basic data first and injects complex fields (budget, specs, urgency) as the user engages, ensuring a surgical filter of lead quality.
  • Ad-Hoc Zero-Bloat Architecture: Built entirely from scratch in strict PHP MVC, this framework eliminates the heavy dependencies and bloatware of traditional CMS platforms. By guaranteeing load times under 100ms and a consistent Lighthouse score of >98, it minimizes bounce rates, directly lowering the Cost Per Acquisition (CPA) and maximizing Google Ads ROAS.
  • Behavioral Fingerprinting & Predictive Scoring: A built-in Business Intelligence engine calculates the real «temperature» of a lead dynamically. It tracks engagement depth—such as the frequency of visits, time spent on case studies, and interaction within a 48-hour window—to assign a dynamic Sales Velocity score. This allows sales teams to prioritize high-intent micro-targets instantly.
  • End-to-End Attribution & True ROI Tracking: Moving beyond vanity metrics and simple lead volume, the framework seamlessly syncs ad spend with closed deals. It traces the entire user lifecycle from the first Google Ads click to the final signed contract months later, revealing the net Return on Ad Spend (True ROAS) and the real Lifetime Value (LTV) of each campaign.
  • Workzone ERP: A centralized backend that provides total lead traceability, from the first Google Ads click to the final conversion, including real-time interest scoring.
  • Automated Nurturing: Integrated SMTP and API logic that «warms up» leads with automated, transactional emails based on user behavior and project status.

Dashboard Panel of ClickConvert Max
leadscoring
LeadScoring and Info

#3 Work Process

The Challenge: Can a high-performance CRO framework be conceptualized, branded, and deployed in just two weeks?

This project was a personal challenge to evolve a conversion framework from 2024 into a fully functional MVP, leading the entire cycle from strategic architecture to the final product deployment.

The 14-Day Solution Architecture — Engineering Workflow
14 days
Phase 01 Days 1–4
Discovery & Design
1.0 Research & UI Prototyping
2.0 Interaction Architecture
Phase 02 Days 5–10
Vibe Coding & Iteration
3.0 Prompt Engineering — Claude AI
4.0 Iterative Fine-Tuning
Phase 03 Days 11–14
Systematization & Deployment
5.0 Backend Logic — PHP/SMTP
6.0 Performance Validation — 97+ PageSpeed
End result
Deployed High-ROI MVP
14 days

  • 01. Time-Boxing & Research: I established a strict 14-day window to move from ideation to a multi-language landing page. The process began by auditing my 2024 research docs and using html.to.design to import validated structures into Figma, allowing for rapid UI prototyping without reinventing the wheel.
  • 02. Interaction Architecture: Once the UI flows were defined in Figma, I drafted 5 comprehensive specification documents. These covered every technical touchpoint: dynamic forms, modal logic, interlinking, and UX triggers, ensuring the system’s «brain» was fully mapped before writing a single line of code.
  • 03. Vibe Coding & Prompt Engineering: Using Claude as a high-speed development partner, I imported the visual designs and the 5 spec docs. I leveraged «Vibe Coding»—directing the AI to generate a custom «All-in-one» HTML/Tailwind CSS structure, focusing on architectural integrity rather than just syntax.
  • 04. Iterative Fine-Tuning: I performed 20 to 30 iterations per page to ensure 1:1 fidelity with the Figma design. This stage was critical to refining JS interactions and polishing the «Kerning» (the details) of the code to reach professional standards.
  • 05. Systematization & Backend Logic: I manually configured the internal processing logic (config-send.php, project-form.php, and transactional email templates). This ensured that the AI-generated frontend integrated perfectly with a secure, functional backend.
  • 06. Performance Validation: The result is a lightweight, ultra-fast infrastructure. Despite the speed of development, the core architecture achieved a 97+ PageSpeed score, proving that AI-guided code, when strictly directed, can outperform traditional heavy CMS builds.

#4 Results

I am incredibly proud of this milestone: delivering a full-scale digital product in just 14 days. Despite not being a developer by trade, I successfully architected the core ClickFlow® framework, designed the high-conversion landing infrastructure, and engineered a fully functional ERP backend with automated lead nurturing.

This project proves that with ‘Vibe Coding’ and strategic direction, the gap between a complex hypothesis and a production-ready, scalable MVP can be closed in record time. From pure logic to final deployment: it’s all live ?

Explore the final deployment
A high-performance conversion engine, delivered in record time.

View the landing

Profe por horas

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A new platform in which you choose the learning, time and budget.

In 2018 I studied a Master of UX/UI at EsDesign Barcelona.

For the final UX/UI master's work, I designed a social project in which I wanted to solve a learning problem. People don't usually have a lot of time to study. I ideated a new platform that would solve all the problems, both for Web and App.


#1 Ideation

??

People don’t have much time to study. Given the current situation of an unstable society and economy, learning according to your needs would be a great solution for most people. What if it was flexible? A platform in which we solve the two main problems of learning: Time and money.

«Profeporhoras» (Teacher by hours in spanish) is a new Learning portal in which you choose the training according to your time and budget.

  • Description: Online search engine for personalized teachers by hours and topics.
  • Objectives: Help people to improve their specific training with financial difficulties and who have little time.

  • Target: Mainly to a target that is already working and wants to improve their profession, but does not have much time. You just need a little training. Also the second target may be more of a hobby, people who already know how to play the guitar but have forgotten it a bit, so 4 hours and everything a day.

  • Needs covered: Micro-learning encourages savings; On the one hand, time and financial savings, curiously, it has always been said that time is money, so it covers the same need but in two main focuses.

#2 Architecture

Backhand Index Pointing Right on Apple iOS 15.4Thinking Face on Apple iOS 15.4

The platform was designed for Web/App with a User Experience layer focused on making the user the easiest to use, with high usability and affordance. It is worth highlighting the header of the home page, which already shows an integrated search engine to make it the easiest and fastest for the user. More than 25 wireframes were designed.

  • Sitemap
  • Flow navigation
  • Wireframes
  • Design Interaction
  • UI definition

#3 Web version

UI Design

I designed a complete guidelines, assets & prototype for Developers.

  • Guidelines
  • Brand
  • Colour Palette
  • Interaction

  • Typography
  • Headers styles (H)
  • Buttons
  • Iconography

#4  Mobile version

Mobile Phone with Arrow on Apple iOS 15.4

Mobile layout optimized an 1 column with left alignment.
Assets mobile & Hamburger menu included.

#5  Development

Page with Curl on Apple iOS 15.4

I prepared a document with all the constructive elements, system design, and assets for the developers.

#6 Prototype

Model

Need more?

Download the keynote of the Project

 

Backhand Index Pointing Down: Light Skin Tone on Apple iOS 15.4


saldedudas app

Saldedudas

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"Sal de dudas" a Real Estate App that find the best option to buy according your economy with machine learning.

In 2018 I studied a Master of UX/UI at EsDesign Barcelona.
"Sal de dudas" was a 2-month project of Master on I developed all the phases of a new digital product, from the ideation, generation of ideas, testing and validation of the ideas to the entire UX/UI design of the MVP.


#1 Research

??

The first step, was to work on the first subject of the project:
Digital Media Strategy. My goal was to focus getting a general idea of the current social, technological and creative situation to develop a creative process that would allow me to select and validate ideas.

  • Generation of ideas
  • Previous context
  • Discussion and focus
  • Bases and criteria
  • Lateral thinking
  • Exploring ideas
  • Idea validation
  • User interviews
  • Definition
  • MVP
  • Business model
  • Content design

#2 Definition

Backhand Index Pointing Right on Apple iOS 13.3Mobile Phone on Apple iOS 13.3

The idea of which was defined based on conclusive studies and user tests, was to create a social project to help people decide to know which is the best option when buying or renting their home.

An online platform that worked thanks to big data. The user had to fill out a form according to their economy and data showed them the best option. That is why the name means «Saldedudas» No doubts in spanish.

saldedudas app

#3 Look&Feel

UI Design

I designed a complete guidelines, assets & prototype for Developers.

  • Guidelines
  • Brand
  • Colour Palette
  • Interaction

  • Typography
  • Headers styles (H)
  • Buttons
  • Iconography

saldedudas app

#4  Architecture

I designed architecture, hierarchy & usability for the App version, focused on design user centered.  In the wireframes, I added visual information about the interface, for example the elements status and all the technical indications of the design interaction.

  • Sitemap
  • Flow navigation
  • Wireframes
  • Design Interaction
  • UI definition

Need more?

Download the keynote of the Project
?
saldedudas app

Rafel Gil Digital & User experience Designer

Rafel Gil | Senior Product Architect & Growth Strategist

Defining digital solutions
with systemic rigor

+15 years architecting high-impact products via engineering logic & curated design.
Senior Architect in Product · Design Ops · UX/CRO · Growth

LET'S TALK!SYSTEMIC RIGOR?
rafelgil volkswagen web

Volkswagen website

Strategic UX & Usability engineering to enhance user-centricity and…

rafelgil movertis

Movertis

Leading the 360° product strategy and growth architecture for a GPS fleet…

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Studio Projects

8 years of cross-functional leadership for agencies and startups,…

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This is a technical portfolio, system architecture, AI workflows, and a DevLog. It doesn't do it justice on mobile. Open it on your computer or send the link to yourself.

Kerning LABS®

See the latest work

These projects are part of Kerning LABS® — my product studio where business logic meets conversion design.
Every case study documents the full process: from strategy and architecture to deployment and real commercial results.

EXPLORE CASE STUDIES →
Explore Kerning LABS® →
Rafel Gil UX-UI User Experience Designer Barcelona

+15 YEARS OF PRODUCT & RIGOR

Human and Creative

I am a Senior Product Architect & Growth Strategist with a unique background: 12 years in civil engineering and 15 leading high-scale digital products. This trajectory allows me to merge engineering precision with strategic design to architect robust, scalable, and high-performing digital products.

Specializing in Systemic Rigor and my UX Pyramid Method®, I go beyond aesthetics to focus on product architecture, Design Ops, and UX/CRO. I don't just manage projects; I engineer products that align business goals with user needs through Applied AI and technical rigor.

I lead strategic consulting, helping companies transform complex visions into roadmaps and profitable digital products. Integrating Design Ops with systemic rigor, I ensure assets are built to scale, minimizing technical debt while maximizing ROI.

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Methodology

Change the color to match your brand or vision, add your logo, choose the perfect layout, modify menu settings, add animations, add shape dividers, increase engagement with call to action and more. Change the color to match your brand or vision, add your logo, choose the perfect layout, modify menu settings, add animations, add shape dividers, increase engagement with call to action and more.

RafelGil - Processes UX Movertis
Research Volkswagen Rafel Gil
Rafel Gil studio process & methdology

+15

Years

+120

Projects

+2000

Pages of Brief

+10K

Cups of coffee ☕

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Feedback of Rafel

15+ years merging engineering logic with curated design and UX/CRO. An approach driven by systemic rigor that consistently leaves clients surprised by its depth.

jordi_fernandez_DDB

Account manager | DDB Barcelona

Rafel nos ayudó mucho en un proyecto largo y ambicioso para nuestro cliente Volkswagen. Su actitud y predisposición siempre fueron bien acogidas y valoradas.

VIEW PROJECT
noemi_lorente_movertis

Technological advisor at Movertis

Rafel is creative, dynamic, he is excellence. Responsible, resilient and decisive, contagious curiosity and the desire to always take a step forward, a wonderful...

READ MOREVIEW PROJECT
susana_binder_ddb

UX Designer | DDB Barcelona

He’s an absolute team-player, always ready to solve problems or challenges thrown at him with sound IxD and UI proposals, thus improving the overall user...

READ MOREVIEW PROJECT

Senior Product Architect & Growth Strategist
Product · Growth · Design Ops · UX/CRO · Systemic Rigor


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