We build AI systems.
Not promises.

Rico Automations is a technical AI agency. We write custom code, pick the right LLM for each job, and build systems that actually work in production — not demos.

Replace repetitive work with systems that scale.

Most businesses are hemorrhaging time on work that shouldn't require a human. Lead follow-up sitting in inboxes. Content stuck in drafts. Reports built manually every week.

We exist to change that. Not by selling software subscriptions — but by building custom AI infrastructure, purpose-fit to your business, that handles the repetitive work so your team can focus on the 20% that grows revenue.

LLM-agnostic means we pick the best tool for the job: Claude for reasoning, GPT-4o for multimodal, Gemini for long-context, or open-source where it makes sense.

100%
Custom code
No no-code tools
3+
LLMs we
build on
6+
Industries
served
2–4wk
Typical build
timeline

How we think about building.

Principles that guide every engagement — from first call to production deploy.

01
Scope tight, ship fast

We don't believe in 6-month AI transformation projects. We scope tightly, ship fast, and iterate. Most clients see production systems in 2–4 weeks. Speed builds trust; trust unlocks bigger work.

02
Business logic over AI hype

Every system starts with a business problem. We ask: what does success look like? What's the measurable outcome? AI is the mechanism — better operations, more revenue, fewer hours wasted is the goal.

03
Code you own, not platforms you rent

No-code tools are fine until they aren't. Pricing changes. APIs break. We build in Python and Node.js — code in your infrastructure, owned by you, that doesn't depend on a vendor's roadmap.

04
LLM selection is a design decision

Defaulting to GPT-4o for everything is lazy architecture. We evaluate task requirements, context length, latency, and cost before choosing a model. The right call for the job, not the popular one.

05
Systems degrade without maintenance

LLMs update. APIs shift. Your business changes. A system that works today needs active maintenance to work in 6 months. Our retainer model exists because we believe in owning the outcome.

06
Transparency over mystery

We explain what we build and why. You get architecture docs, prompt logic, integration specs, and handoff materials you can actually use. No black boxes. No "just trust us."

What we build with.

Python and Node.js — not no-code tools. That means your systems are faster, cheaper to run, easier to extend, and actually yours.

We're LLM-agnostic. Claude for reasoning and writing. GPT-4o for multimodal tasks. Gemini for context-heavy work. Open-source where economics favor it.

Your build doesn't depend on a SaaS subscription that can change pricing or shut down tomorrow.

Language Models
Claude (Anthropic)
GPT-4o (OpenAI)
Gemini (Google)
Open-source models
Languages
Python 3.x
Node.js / TypeScript
REST API design
Webhook architecture
Integrations
CRM systems
Email platforms
Databases
Third-party APIs
Deployment
Your infrastructure
AWS / GCP / Azure
Serverless functions
Docker containers

Why Not No-Code?

Limited logic, per-action pricing at scale, brittle when APIs change. Custom code is more durable and you own it.

Why LLM-Agnostic?

Every major LLM has different strengths. Using the right model for each task produces better results at lower cost.

Why Python / Node?

Best ecosystem for AI systems. Any developer can work with them. No proprietary runtime, no lock-in.

Who we work with.

Industries with high volumes of repetitive work — where automation compounds fast.

🏠
Real Estate

High lead volume and repetitive follow-up make real estate a natural fit for AI automation.

Lead follow-upListing contentCRM ops
🛒
E-Commerce

Product content at scale, support volume, and ad creative iteration — perfect for AI.

Product descriptionsSupport botsAd copy
📣
Marketing Agencies

Agencies with many clients benefit from content pipelines, reporting automation, and client ops.

Content pipelinesReportingClient ops
⚖️
Legal & Finance

Document-heavy workflows and compliance drafting are well-suited to careful AI automation.

Document processingClient intake
🏗️
Construction

Estimating, job coordination, and subcontractor comms are time sinks AI handles well.

EstimatingJob opsComms
🏢
General SMBs

Any business with repetitive ops — scheduling, data entry, reporting — can see returns fast.

Ops automationOutreachReporting

How we work together.

Simple, transparent, fast — from call to deployment.

STEP 01
📞
Free Audit Call

30 minutes. We map your workflows and identify the top 3 AI opportunities — no pitch attached.

STEP 02
📋
Scope & Proposal

We define what gets built, what it connects to, success criteria, and fixed pricing.

STEP 03
Build & Integrate

We build, test, and integrate with your stack. Regular check-ins throughout — no black box development.

STEP 04
🚀
Launch & Improve

We deploy, document everything, train your team, and stay on retainer to optimize.

Ready to see what's possible?

Book a free 30-min call. We'll map your top AI opportunities before you commit to anything.

Get Free AI Audit → 📞 Book a Regular Call
No obligation. Clear advice, not a sales pitch.