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Technical articles on AI automation, production engineering, and building systems that actually work are on the way.
AI Automation That Actually Works in Production
Built by an engineer with 7+ years deploying production-ready systems. Production-ready AI automation. No buzzwords. No vendor lock-in. Just reliable automation built to survive contact with reality.
7+
Years of Experience
Dozens
Production Systems
15+
Technologies
3
Focus Areas
Production Mindset
Built by Someone Who Has Debugged at 3 AM
Experience That Goes Beyond Tutorials
Building production AI isn't about following the happy path—it's about handling the edge cases that break everything at 3 AM.Production Systems Experience
7+ years building systems that handle real users, real data, and real failures. I know what breaks in production because I have fixed it at 3 AM.
Full-Stack Problem Solver
From LangChain orchestration to database design, from API integrations to deployment pipelines. End-to-end ownership.
Reliability & Monitoring
Systems without observability are systems waiting to fail. Built-in monitoring, error handling, and graceful degradation from day one.
Core Services
Production-ready AI automation built to survive contact with reality.
Workflow Automation
n8n, Python, and API integrations that actually work. Built for reliability, monitored for failures, documented for handoff.
LangChain & CrewAI Orchestration
Multi-agent systems that handle complex workflows without falling apart. Prompt engineering, tool integration, error recovery.
RAG Systems Implementation
Document processing pipelines, vector databases, semantic search. Built to scale beyond proof-of-concept demos.
The Diagnostic Approach
Discovery calls aren't sales pitches—they're diagnostic conversations to figure out if AI even makes sense for your problem.
Is This Problem Real?
Not every inefficiency is worth solving. We examine whether this problem genuinely impacts your business outcomes.
Is It Measurable?
If we can't measure the problem, we can't measure the solution. We define concrete metrics before writing code.
Is It Worth Solving?
Even real, measurable problems are not always worth the investment. Sometimes the honest answer is "do not build this yet."
Build or Recommend Simpler?
AI is not always the answer. Sometimes a spreadsheet, a script, or a process change works better—and I will tell you that.
Real Examples from Discovery Calls
These are actual scenarios from diagnostic conversations. Notice that not all of them resulted in projects—and that's the point.
The "Not Yet" Conversation
A startup wanted an AI chatbot to handle customer support. After analysis, their real problem was unclear product documentation—only 50 support tickets per month, most asking the same 5 questions. Recommendation: Rewrite their docs first, measure if tickets decrease. If volume grows to 200+/month, revisit AI. They thanked me for the honesty.
The "Simpler Solution" Conversation
A company wanted to build a complex RAG system to search internal documents. Their actual problem: 30 knowledge base articles spread across Google Docs, SharePoint, and Notion. Recommendation: Consolidate into a single searchable wiki first. If search remains a problem after consolidation, then consider AI-powered search. Saved them months of complexity.
The "Yes, Build This" Conversation
A business was manually processing 200+ vendor invoices weekly, each requiring data extraction and validation. Clear problem: 10 hours/week of manual work. Measurable: $30K/year in labor costs. Worth solving: ROI in 4 months. Built a document processing workflow with LLM-based extraction. Now processing 95%+ invoices automatically.
The "Different Problem" Conversation
A team wanted AI to "improve their sales process." Through diagnostic questions, the real problem emerged: their CRM had terrible UX, so salespeople avoided updating it, causing data quality issues. AI couldn't fix process adoption problems. Recommended: Fix the CRM workflow first, then revisit automation. They realized they were solving the wrong problem.
Why Work With Me
Because you need someone who is honest about what will actually work—not someone trying to maximize their billable hours.Honesty Over Sales
I would rather tell you "this is not worth building yet" than take your money for a solution that will not deliver ROI.
Security-Conscious Development
Secrets management, input validation, least-privilege principles. Security isn't an afterthought—it's built in.
Knowledge Transfer Included
Complete documentation, architecture diagrams, and handoff sessions. You own the system—not just the code.
No Vendor Lock-In
Open-source tools, portable architectures, documented decisions. Your system works with or without me.
Latest Insights from the Field
View all posts »Lessons learned from building production AI systems. No fluff, just real experience from the trenches.
Ready for an Honest Conversation?
Let's have a diagnostic call to figure out if AI automation makes sense for your specific problem.
No sales pitch. Just honest analysis.