Luis Lacerda
For ventures, partnerships and serious conversations.

Entrepreneur · Systems Architect · Florida

Luis Lacerda: Building the machineryof modern demand.

Work
ProcessExplore the ventures
Luis Lacerda
Luis Lacerda · Founder
  • Lead generation
  • AI automation
  • Operational software
  • Growth infrastructure
  • Case Closed FL
  • SSDI Campaigns
  • IMOS

01 — Abstract

A practice founded on the discipline of verifiable systems.

The defining enterprises of this decade will be those that reconcile two forces long held apart: the generative reach of artificial intelligence and the exacting discipline of systems that must be right. Luis Lacerda's work is an extended argument for that reconciliation, made not in theory but in operating businesses.

Read the thesis
  1. P.01

    Governance before generation

    Policy is evaluated before any model is addressed; a provider is a configuration detail, never a source of authority.

  2. P.02

    Evidence before completion

    Work is not marked finished until it is verified. Confidence is derived from checks rather than asserted by the generator.

  3. P.03

    Measurement before scale

    Every channel, every handoff and every conversion is instrumented, so that growth is understood before it is amplified.

✋ Grab a badge and throw it

Lead generationAI automationOperational softwareGrowth infrastructureCase Closed FLSSDI CampaignsIMOSVoice intakeFraud screeningCRM routingConsent certificationAgent workflowsLLM gatewaysPostgresAttributionLUIS
Luis Lacerda

Luis Lacerda

Entrepreneur and AI systems builder · Florida

Entrepreneur. Systems architect. Builder of ventures. Building the machinery of modern demand.

02 — Ventures

Entrepreneur. Systems architect. Builder of ventures.

Explore the ventures

Résumé

Summary

I build software systems with AI coding agents as the workforce and myself as architect, specifier and final reviewer. Every change I ship has been written to a specification I drafted, tested against it, and approved by me through a pull-request workflow.

My current research project is Mini-Mythos, a parameter-efficient fine-tuning run that adapts a 14-billion-parameter open model for coding and reasoning on a single consumer GPU. The work joins two disciplines I practise daily: assembling instruction data, and judging model output for correctness.

My domain is legal technology: lead generation for personal-injury and mass-tort practices, attorney intake integrations, and the consent and outreach rules (TCPA, CAN-SPAM, CASL) that govern the trade.

Download resume (PDF)

Résumé

Experience

Founder · MTOS / ABBYCRM and TFT Legal Services

2026 – Present

Legal lead generation and LegalTech software for motor-vehicle accident, SSDI, VA disability and mass-tort practices.

  • Direct a standing team of AI coding agents (Claude Code, Grok CLI, Gemini CLI, Cursor cloud agents). I write the specifications, test what they produce, and approve each change through pull requests.
  • MTOS CRM (mtoscrm.com), TypeScript on Node.js: a lead-distribution CRM for mass-tort firms. Each buyer has its own validator; delivery is sent automatically only when a lead meets that buyer's criteria, and duplicates and criteria-not-met leads are tagged rather than lost. It integrates with buyers' Litify instances, captures TrustedForm consent certificates, publishes an OpenAPI specification, and is held to more than 1,000 automated API tests.
  • MTOS Portal (mtosportal.com): a vendor portal with tracked referral links, per-vendor attribution, and lead status that updates live from the CRM.
  • Case Closed FL: a Next.js personal-injury platform. Built the lead validators for SSDI, Case Closed FL and F4MR traffic.
  • tcpa-firewall: a TCPA list-scrubbing service that removes non-compliant records before any outreach begins.
  • Launched about twelve legal lead-generation sites, among them caseclosedmva.com (Arizona motor-vehicle accident intake) and caseclosedfl.com. Each uses a multi-step qualifying form, is built for search and AI answer engines, scores about 99 on Lighthouse, and runs on DigitalOcean App Platform.
  • Manage the lead-vendor network and LinkedIn outreach to law firms, and apply TCPA, CAN-SPAM and CASL requirements to both.

ACS Neuro Network Architect · LI MEDIA

Jan 2014 – Present

Online advertising and SaaS.

  • Apply business, data and financial analysis to advertising and software engagements.
Read the full résumé: projects and skills

03 — Approach

Disciplines

See the approach

  • Lead generation

    Demand, engineered end to end.

  • AI automation

    Intelligence, held to account.

  • Operational software

    Relational guarantees at the centre.

  • Growth infrastructure

    Marketing as a measured discipline.

04 — Method

Explicit boundaries. Deliberate control.

Applied AI most often fails at its boundaries: an unvalidated input, an unexamined output, a provider substitution that silently altered behaviour. The reference architecture Luis designs toward renders every boundary explicit, so that the model becomes one replaceable stage in a pipeline whose guarantees do not depend upon it.

  1. Admit

    A typed request envelope, an established identity and a declared intent.

  2. Govern

    Policy is evaluated before any model is addressed.

  3. Route

    Capability, cost and latency select the provider.

  4. Validate

    Output is checked against schema and domain invariants.

  5. Attest

    The decision and its evidence are written to an append-only trail.

05 — Work

Selected work

View all work
  • 01

    AI infrastructure

    Governed LLM gateway with self-auditor

    An OpenAI-compatible gateway with provider routing, structured outputs, call logging and a self-auditing stage, later extended into a governed multi-model orchestration platform.

  • 02

    Agent systems

    Evidence-bound agent runtime

    A governed runtime in which agents classify intent, plan, select tools and pass risk gates, and in which no task may be marked complete until evidence has been verified and recorded.

  • 03

    Generative media

    Single-shot AI video engine

    A video-generation service for web research, platform-specific copy, image generation and single-shot video prompts, governed by prompt policies, JSON validation, encrypted credentials and audit logs.

See it while you type it

The card fills in as the form does.

Your card

Your name

Your role

✉ [email protected]

Preview only · nothing is sent or saved

06 — Correspondence

For ventures, partnerships and serious conversations.

Luis welcomes enquiries from operators, partners and builders working on problems where intelligence must be governed and outcomes must be right. Specific engagements remain private; the conversation need not.

Write to Luis