What does Untold.works build?

We build operational alignment systems for businesses where information must flow between many stakeholders — manufacturers, franchise groups, multi-location brands, showrooms with trade networks, and professional services with referral partners. Our systems organize product information, communication, lead routing, and sales visibility.

What is an operational alignment system?

An operational alignment system organizes how information moves across a distributed business. Instead of adding more software tools, we build coordination infrastructure — a product information system, structured communication, automated lead routing, and sales visibility — so companies and their partners work from the same information.

What types of businesses does Untold serve?

We serve businesses where information needs to flow between multiple stakeholders: manufacturers and distributors, brands and retail partners, showrooms with trade accounts, restaurant groups, professional services with referral networks, and multi-location organizations across Mexico and the United States.

Where is Untold.works located?

We are based in San Miguel de Allende, Guanajuato, Mexico, serving clients across Mexico and the United States.

Do I own the systems you build?

Yes. Full ownership transfer is part of every project. You get the systems, the data, the documentation, and video training. No lock-in, no recurring fees for access to your own infrastructure.

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PRODUCTION_READYVERIFIED_SYSTEM

Spotify - WhatsApp Publishing

CLIENT

Independent Labels

TIMELINE

Q1 2024 - Active

TECHNICAL_STACK

n8n

Claude Code

Python

RAG Architecture

PostgreSQL

SERVICES_PROVIDED

n8n Orchestration

Claude Code Integration

Automated Pipeline Ops

Replaced manual content operations with an AI-driven publishing pipeline. Reclaimed 15 hours per week, scaling capacity 10x.

AUTOMATIONRAGPIPELINE OPS

Time Reclaimed15h/wk

Capacity Shift10x

Small Business Solutions→

WHAT WAS THE CHALLENGE?

Manual content operations were a massive bottleneck for scale. The team was spending 15+ hours weekly on repetitive data processing and drafting, causing lead-time delays and unsustainable operational overhead.

WHAT WAS THE GOAL?

Reclaim operational capacity by automating the ingestion-to-publish pipeline while maintaining output quality at scale.

HOW DID WE SOLVE IT?

I built an agentic RAG-pipeline that ingests Spotify metadata, generates synthesized recommendations via Claude, and routes through a human-in-the-loop approval gate to WhatsApp.

Metadata Resolution Engine

def resolve_spotify_metadata(track_id):
  results = sp.track(track_id)
  artist_context = rag_store.query(results["artist_name"])
  return synthesize_prompt(results, artist_context)

SYSTEM_VISUALS_&_ARTIFACTS

Spotify-WhatsApp pipeline workflow diagram

n8n automation flow for content publishing

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Second Son Productions

NEXT_ARTIFACT

Black Radio Experience

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BUILD_THIS_SYSTEM