brand co-founded at 18 · now ~90% run by its own AI agents
Selected work · 2026
Three that matter.
Plenty more has shipped, but these three carry the most weight: enterprise AI running in production, an open protocol, and an autonomous workforce for DTC brands.
01TechTorch90%+
02AINM12
03Tayliq12+
Chapter 01TechTorch
TechTorch AI Quoting Agent
Enterprise sales teams spend hours building quotes in legacy Salesforce CPQ, and get them wrong almost as often as they get them right.
Multi-agent architecture with dedicated roles per quote stage
A novel Apex-native integration: CPQ operations run as native Salesforce transactions instead of brittle service-router calls
Co-architected it end to end: model selection, tool schemas, state machine, deployment
Live in production for a PE-backed enterprise client, and in testing at 10 more
DTC brands drown in support tickets. Existing tools triage. Tayliq acts: it watches shipments, drafts in brand voice, processes refunds, and only pings you when a human is really needed.
Agent #1 (Customer Support) is live today. Agents #2 and #3 (Ops, Finance) are next
Watches every parcel across DHL, GLS, Correos, UPS, FedEx, and SEUR
Drafts in 12+ languages in brand voice, auto-refunds, and suggests size swaps before money leaves the account
Started as the AI support agent built for Shameless Collective, on real traffic for a ~$1M DTC brand, now productized for any Shopify merchant
Co-founded Shameless Collective while starting university, and built the whole stack: the Shopify storefront, ops, finance, and the first AI customer support agent. On pace for $1M in 2026 across 45+ markets, with its AI agents now running about 90% of operations.
2016 – 2021
Engineer + MBA
Industrial Engineering at ICAI, with double merit scholarships from the Comunidad de Madrid, and an MBA at ICADE. Found software along the way and never looked back.
2022 – 2025
Data & AI · Metyis → Monstarlab
Data Scientist to Senior Data & AI Associate at Metyis (acquired by Monstarlab in 2024), shipping 25+ analytics and AI solutions. Built the pricing optimization for Spain's largest independent brewer, then led enterprise AI delivery across multi-agent systems, classification, RAG, and voice.
2025
Go Exponential Fellow
Selected into a Spain → Silicon Valley fellowship (<2% acceptance), backed by Fundación Barrié and the Spain-US Chamber of Commerce.
2025 – Present
AI Product Director at TechTorch
Recruited to build TechTorch's AI practice, and grew the team from 0 to 30. Architected the flagship AI Quoting Agent, now live in production for a PE-backed enterprise client and in testing at 10+ more. Driving $6–8M in annual run-rate impact.
2026
Open-source infrastructure
Published AINM, an open-source AI-native messaging protocol: 12 specs with Rust, iOS, and Node.js reference implementations. Sits alongside MCP and A2A in the emerging agent stack.
2025 → Present
Founder · Tayliq
Founder and CEO of Tayliq, an agentic OS for consumer brands. The customer-support agent is live today, with operations and finance next. Building the agentic OS others run on.
Santiago Gericke. Builds AI agents. And the teams that ship them.
Confidence: 0.99 · Bay Area · Founder of Tayliq · AI Product Director at TechTorch.
By the numbers
$6–8M annual savings unlocked for a PE-backed client
0 → 30 AI team built & led at TechTorch
$1M brand co-founded at 18 · now ~90% run by its own AI agents
Selected work
TechTorch AI Quoting Agent
Flagship enterprise AI agent running in production for a PE-backed client
The flagship AI agent at TechTorch. It's live in production for a PE-backed enterprise client and in testing at 10+ additional enterprise clients. Co-architected end to end: model selection, tool schemas, state management, and a novel Apex-native integration into Salesforce CPQ that runs CPQ operations as native Salesforce transactions instead of the industry-standard service-router pattern. Across deployments it delivers 90%+ faster quote creation, 80%+ faster reporting, and $6–8M in annual run-rate savings.
Open-source protocol for human + agent + tool messaging
An open, federated messaging protocol designed from the ground up for AI agent communication, where humans and agents are equal participants in a thread. It's 12 formal specification documents covering identity, security, transport, threading, streaming, memory, interactive content, agent cards, tool visibility, and compatibility layers. It's built on AsyncAPI 3.1, JSON Schema 2020-12, Ed25519 signing, mutual TLS, and RFC 8785 canonical JSON, with reference implementations for a Rust (Axum) server, an iOS (SwiftUI) app, and a Node.js SDK. It fills the gap that MCP (tools) and A2A (agent-to-agent) leave for mixed human-agent threads.
Autonomous AI workforce for DTC brands, starting with customer support
Tayliq is the autonomous AI workforce for DTC brands. Agent #1 (Customer Support) is live: it watches every parcel across DHL, GLS, Correos, UPS, FedEx, and SEUR, drafts replies in brand voice across 12+ languages, auto-processes refunds and reships, offers size swaps before money leaves the account, and only escalates when a human is actually needed. Operations and Finance agents are next. It's built inside Shopify with App Bridge, Polaris, and App Proxy, and it's SOC 2 and GDPR-ready. Started as the AI customer support agent built for Shameless Collective, on real traffic for a ~$1M DTC brand, now productized for any merchant.
Designed a multi-agent AI system for intelligent recommendations on AWS
The Multi-Agent AWS Bedrock System implements an intelligent recommendation engine using a multi-agent architecture. Built with AWS Bedrock and Lambda, it features specialized agents that provide tailored information about hotels, Airbnbs, and restaurants. The system leverages AI-powered agents to handle complex user queries while a supervisor agent coordinates the workflow. It integrates with Amazon S3 to access accommodation and restaurant data, processing filters like location, amenities, and dining preferences. Accessible via API Gateway for seamless frontend integration.
Created an AI system that monitors, categorizes, and responds to emails autonomously
An intelligent email responder powered by OpenAI and the Gmail API. It monitors incoming emails in real-time, categorizes each message using advanced natural language processing to decide if it qualifies for an AI-generated reply, and dispatches a context-aware response to streamline communication.
Fine-tuned a DistilBERT model for multi-category classification on SageMaker
A fine-tuned DistilBERT model for multi-category text classification. Fine-tuned with AWS SageMaker and deployed with an endpoint connected via LangChain.
Co-founded Shameless Collective while starting university, and built the whole stack: the Shopify storefront, ops, finance, and the first AI customer support agent. On pace for $1M in 2026 across 45+ markets, with its AI agents now running about 90% of operations.
Engineer + MBA
Industrial Engineering at ICAI, with double merit scholarships from the Comunidad de Madrid, and an MBA at ICADE. Found software along the way and never looked back.
Data & AI · Metyis → Monstarlab
Data Scientist to Senior Data & AI Associate at Metyis (acquired by Monstarlab in 2024), shipping 25+ analytics and AI solutions. Built the pricing optimization for Spain's largest independent brewer, then led enterprise AI delivery across multi-agent systems, classification, RAG, and voice.
Go Exponential Fellow
Selected into a Spain → Silicon Valley fellowship (<2% acceptance), backed by Fundación Barrié and the Spain-US Chamber of Commerce.
AI Product Director at TechTorch
Recruited to build TechTorch's AI practice, and grew the team from 0 to 30. Architected the flagship AI Quoting Agent, now live in production for a PE-backed enterprise client and in testing at 10+ more. Driving $6–8M in annual run-rate impact.
Open-source infrastructure
Published AINM, an open-source AI-native messaging protocol: 12 specs with Rust, iOS, and Node.js reference implementations. Sits alongside MCP and A2A in the emerging agent stack.
Founder · Tayliq
Founder and CEO of Tayliq, an agentic OS for consumer brands. The customer-support agent is live today, with operations and finance next. Building the agentic OS others run on.