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
Link
Doc
Map
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.
#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.
- 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. 🚀😊
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
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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
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.
#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
#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
Model
#5 Prototype
Need more?
Download the keynote of the Project
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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
Volkswagen website
Strategic UX & Usability engineering to enhance user-centricity and…
Movertis
Leading the 360° product strategy and growth architecture for a GPS fleet…
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.
+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.
Tagline
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.
+15
Years
+120
Projects
+2000
Pages of Brief
+10K
Cups of coffee ☕
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.
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.
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...
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...
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