About Me
I'm Alejandro Valencia, AI Systems Architect with a business background.
I'm not a developer who learned business.
I'm not an MBA who learned to code.
I'm the bridge between what your company needs and what technology can deliver.
+10 years combining software development with business vision. I've seen too many projects fail not because of technology, but because nobody asked "what business problem are we solving?" before writing code.
I built Lucy, an AI agent based on fine-tuned llama3.2-3b with 2,500 business strategy entries. Lucy demonstrates Tier 4 capabilities: custom LLM with GraphRAG (neo4j + pgvector). Try it below.
See activity on LinkedIn →Real Case: SeducSer AI Coach
From 3 exhausted coaches to scalable 24/7 system
3 exhausted coaches, stagnant revenue
Full calendar. 60+ hours weekly of manual coaching. Couldn't scale without hiring more people.
Revenue cap: $8K USD/monthMultilingual system operating 24/7
Automated coaching with human quality. Consistent responses. Scalable without capacity limits.
Savings: $67K USD vs traditional teamMulti-agent AI architecture
n8n + PostgreSQL + Claude/Ollama. 40+ coordinated modular workflows. Client has 100% code ownership.
10+ Coordinated AI AgentsTest the system yourself
Go to seducser.com
Use the /matrix command in the chat, the system will confirm I built it.
← Swipe to see more →
Lucy AI chatbot assistant on 3 architectures
Lucy is an AI-strategy agent: fine-tuned LLM with business strategy + GraphRAG of updated papers on AI implementation. Here you compare real costs, latency and performance of the same system deployed across 3 different architectures.
Ollama (VPS)
Modal.com (GPU)
Claude API
How much are you overspending on cloud?
Let's be honest:
If your decision criteria is who charges less, this conversation doesn't make sense.
I work with companies that understand the difference between $5K USD well spent and $50K USD wasted is the right architecture from day 1.
How do I work?
4 tiers based on complexity. Indicative investment ranges below. Exact price after discovery call based on your specific case.
Discovery Workshop
For companies that need to know WHAT to automate before HOW. Complete process audit + technical roadmap. Identify where the greatest potential lies to get started.
$7,500 USDTypical investment
What you get:
- Complete process audit + identification of automation candidates
- Use case matrix prioritized by ROI and feasibility
- Technical architecture recommended for your current stack
- 12-month implementation roadmap with investment estimates
- Quick-wins playbook: 2-3 automations achievable in 30 days
- Executive presentation ready for internal stakeholders
Single-Agent System
Your first AI agent in production. Validate the potential before scaling. Solve 1 complete end-to-end process. Architectural foundation to grow later.
$18,000 USDTypical investment
What you get:
- 1 AI agent in production solving an end-to-end process
- 2-3 integrations with your systems (CRM, databases, APIs)
- Complete technical documentation + troubleshooting runbook
- 2-3 hours live training + recorded sessions
- Monitoring, alerts, and status dashboard included
- 2 weeks priority post-launch support
- 100% yours code + year 1-2 cost projection
Multi-Agent System
Coordinated multi-agent system. To scale after understanding the potential with Tier 2. Modular and maintainable architecture based in workflows.
$50,000 USDTypical investment
What you get:
- 3-5 coordinated agents with central orchestrator
- Vector database for long-term memory (RAG)
- Separate dev/staging/production environments for risk-free testing
- Automated backup + workflow and configuration versioning
- Production-grade observability: structured logs, performance dashboards, auto-alerts, cost tracking per user/message
- Failover system and error recovery
- Exhaustive documentation + 4-6 hours technical training
- 30-60 days priority support + quarterly optimization session (year 1)
Custom LLM System
Your proprietary knowledge turned into scalable intelligence. Fine-tuned LLM on your data + RAG for updated information. Specialized responses no generic model can provide.
$90,000 USDTypical investment
What you get:
- Custom curated dataset (2,000-3,000 entries, quality 8+/10)
- Fine-tuned LLM specialized in your knowledge domain
- RAG system with automatically updated documentation/research
- Context manager for intelligent orchestration between fine-tuning and RAG
- Proprietary logging system with context tracking and quality metrics per execution
- Can include 2-3 coordinated agents depending on case complexity
- 100% ownership: code + model weights + proprietary dataset
- Deployment on your infrastructure (CapRover/Modal/Docker as needed)
- 6 weeks post-launch support + quarterly optimization (year 1)
- Complete training for your team to extend/maintain the system
Higher Complexity?
For projects combining multiple capabilities (multi-agent + fine-tuning + proprietary datasets + enterprise integrations), or architectures requiring custom scope outside these tiers, let's schedule a design call.
Just want direct hourly consulting? $200 USD/hour for one-off sessions outside these plans (problem solving, code reviews, architecture, team training)
Not magic. Auditable engineering.
Every system I build includes enterprise-grade observability:
Your team can debug, optimize and scale without me.
Frequently Asked Questions
Yes. Lucy (chatbot below ↓ to the right →) runs llama3.2-3b fine-tuned (synthetic dataset of 2,500 AI business strategy entries) deployed on Modal.com. Production system showcasing custom fine-tuning + scalable deployment. SeducSer (seducser.com) is a multi-agent system with 10+ coordinated agents in production. Use the /matrix command to verify I built it. Both are verifiable right now.
Large agencies charge you $50K+ USD for systems they delegate to juniors. I personally design, implement and train your team. Zero intermediaries. Also: agencies want lock-in (to keep you paying). I deliver complete code + documentation so you're autonomous.
I use n8n (visual, no-code/low-code). If your team knows basic JavaScript, they can maintain and modify workflows. I include: 2+ hours of training, exhaustive documentation, and 30 days of post-handoff support for questions. 80% of my clients make simple modifications on their own after 2 weeks.
Tier 2 (Single-Agent System): 4-6 weeks. Tier 3 (Multi-Agent System): 8-12 weeks. Tier 4 (Custom LLM System): 12-16 weeks. Includes: architecture, implementation, testing, documentation, training. Specific timeline defined in discovery call.
How much longer will you postpone this?
Current availability: Only 1 slot available. Each project requires exclusive dedicated attention for 4-12 weeks. After this slot, new projects start in January 2026.
On the call we'll:
- Identify the main pain point and its quantifiable impact
- Review solutions you've already tried and why they didn't work
- Define specific success criteria for your case
- Calculate projected ROI and decide if it makes sense to work together
No pitch, no pressure. If we're not a fit, I'll tell you directly.