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lucasmartins-ai/README.md

Lucas Martins

AI Systems Architect & Product Builder · Founder @ LookADev

I design and build intelligent systems that turn complex business processes into scalable operations.

LookADev · LinkedIn · Case Studies · Email


What I do

Most businesses don't have a software problem. They have a systems problem — leads split across four channels, data copy-pasted between WhatsApp, spreadsheets and a CRM, and no one clear on who should act.

I diagnose the real workflow, model the architecture that removes the manual handoffs, and build the system. I sit at the intersection of AI, software engineering, business process and product thinking — which is why I design the solution before writing code, and measure the outcome after.

AI Systems · AI Automation · Business Process Automation · Custom Software · AI Agents · Data Systems · Operational Systems · Product Engineering


Method

Diagnose → Map → Quantify → Architect → Automate → Build → Measure

I never start with technology. I start by understanding the business, mapping the real process, quantifying the cost of the current state, and only then deciding the architecture.


Selected systems

Each of these is a system I designed and built — a business problem turned into an architecture, not a feature list. Full case studies on LookADev.

System The problem The system
AgentTrace Studio AI agents are unreliable in real codebases An evaluation & observability platform that gates AI agents through CI/CD quality checks before they ship
LookaBerry Cold outreach burns time and gets leads ignored An autonomous GTM system that ranks leads in-database (pgvector), enriches with 0 LLM tokens, and sequences outreach with anti-ban guardrails
AI Reception Small businesses lose leads after the first enquiry An AI receptionist that captures, classifies and qualifies enquiries, then hands hot leads to a human
LookaCrawler Web pages waste thousands of tokens for AI agents A token-optimized crawler that strips >73% of HTML noise and exposes a native MCP server
lcc Prompt context is bloated and expensive A deterministic, local-first context compiler that cleans, dedupes and measures context before it hits an LLM
OpsCommand Operations data is scattered and unreadable An accessible operations dashboard that turns scattered KPIs into a single command view

Currently building

  • LookABerry — closing the feedback loop between outbound signals and intent scoring, so the system gets smarter as it runs.
  • AgentTrace Studio — expanding the eval gate so it catches citation and regression failures automatically.

Open-source & tooling

lcc · lookacrawler · agentic-prompt-intake · lookapentest · antigravity-gemini-extension


Connect

LookADev · LinkedIn · GitHub · Email

LUCAS MARTINS — AI Systems Architect • LOOKADEV — AI Systems & Automation Studio

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  1. agentic-prompt-intake agentic-prompt-intake Public

    Portable conversational intake protocol for AI agents: clarifies voice and natural language instructions before execution.

    JavaScript 1

  2. lcc lcc Public

    Local Context Compiler (lcc): deterministic, local-first toolkit to clean, dedupe, structure, and measure prompt context before LLMs. Zero telemetry, no API key.

    Python 6

  3. ai-reception-lite ai-reception-lite Public

    AI receptionist that captures, classifies and qualifies enquiries, then routes hot leads to a human.

    TypeScript

  4. talentsift-open talentsift-open Public

    Local-first AI-assisted CV review and candidate scoring system.

    TypeScript

  5. agenttrace-studio agenttrace-studio Public

    CI/CD quality gate and evaluation platform for AI coding agents - catches citation and regression failures before they ship.

    Python

  6. minicrm-automation-os minicrm-automation-os Public

    Lightweight CRM with pipeline automation, lead scoring and a follow-up workflow.

    TypeScript