AI Automation / GTM & Marketing Ops / Enablement

Honza
Sanford

I find the bottleneck, then build the agent that removes it.

AI builder for sales, marketing, and ops teams. My systems run in production at a digital marketing agency, for contract clients, and in my own experiments. None of them are demos.

Honza Sanford

/ Denver, Colorado

3
promotions in two years, intern to AI Engineer
~20K
pages generated monthly for national brands
~400 hrs
of manual review replaced every month
10K+
leads rated by an agent in production

Selected work

Systems people rely on daily.

Each one started as a bottleneck someone complained about. I scoped it with the people doing the work, built it, and shipped it.

Full index / nine projects

How I build

AI writes a lot of my code. I make sure it's right.

Claude Code is my daily driver. I spec the system with the people who will use it, direct AI through the build, then review, test, and validate until the output earns trust. My edge is knowing what good looks like and proving it with QA. This site was built the same way.

/01Spec

Sit with the people doing the work. Turn the messy version into a clear problem statement.

/02Generate

Direct AI through the build. Python, TypeScript, SQL, or no-code, whatever ships fastest.

/03Review

Read it, test it, break it. Gaps and edge cases get found before users do.

/04Validate

Audit output, track error rates, keep a human in the loop. Data decides the release.

ModelsClaude, Azure OpenAI, Gemini, Copilot
AutomationClaude Code, Zapier, Make, n8n, Power Automate, Copilot Studio, MCP servers
GTM stackHubSpot, Salesforce, Google Ads, Google Tag Manager, GA4
Data & codePython, TypeScript, SQL, Power BI, Microsoft Fabric, REST APIs
Honza Sanford

Contact

Want a live walkthrough?

Happy to talk through any of these systems, trade notes on agents for GTM and ops work, or compare automation war stories.