I'm a Marketing Engineer — I engineer the systems behind marketing, not just the campaigns. I've spent more than 20 years across digital marketing, SEO, software engineering, automation and data, and today I bring that combination to law firms. I look at the whole growth system — search, website, lead, intake, CRM, follow-up and the data behind it — to find what's working, where leads are being lost, and where technology can give a firm an advantage. Most marketers have to call a developer when something gets technical; I don't, which is usually why I can tell a firm what's actually wrong instead of guessing at it. I'm not trying to build another big agency; I want a handful of clients where I can understand the business and stay personally involved in the work.
25 years on both sides of the table — hiring agencies at $10K/mo and contracting for them. Why most agency SEO is built for volume, not depth, and the six questions that separate the pros from the posers.
Every Claude output is stamped since August 2, 2026. Here is where AI content watermarking compliance actually bites in a law firm's publishing pipeline.
Enterprise model fine-tuning vs prompt engineering: how to tell a real quality ceiling from a bad prompt, and what training actually costs.
The 2026 autonomous AI agent security incidents settled a question: liability runs to the operator, not the lab. Here is the exposure and five controls.
AI-generated code validation, not generation, is where the constraint moved. Blacksmith's $550M valuation is the signal. Here is where each layer belongs.
Are developers and engineers obsolete? No. AI moved the value from writing code to owning consequences. Here is how to tell a builder from an engineer.
Anthropic's 60-subagent math run is a working reference model for autonomous agent role specialization. Here is the role census, and how to reuse it.
Website design with AI agents, field-tested in four stages: what each must produce, where the Figma handoff breaks, and the checks I run before launch.
Google now surfaces AI content watermarks via SynthID and C2PA, but ranking still turns on usefulness and trust, not origin, here's what changes.
A decision framework for open-weight AI models in enterprise automation strategy: weighing cost at scale, data residency, capability, and export risk.
AI-native cloud infrastructure for agent workloads is becoming its own category, why bursty, long-running agents break legacy cloud primitives.
AI agents customer discovery automation hit a milestone as Listen Labs raised $69M. A framework for judging whether it can scale your interviews.
Agentic websites are the future: research, writing, SEO gating, QA, and self-repair, unattended. Two live deployments, and what I'm opening next.
Five multi-agent orchestration patterns shipping in production in 2026 (fan-out, pipeline, supervisor, swarm, debate), and why most never ship.
How to triage your existing RPA stack before the vendor roadmap forces the decision, where autonomous AI agents vs RPA breaks down by use case.
A principled AI agent build vs buy decision framework: 7 diagnostic questions drawn from documented failure patterns, real cost data, and procurement post-mortems.
A board-ready AI automation ROI business case template built from published benchmarks: FTE savings model, payback period formula, and FinOps cost stack.
Enterprise SaaS vendors rebuilding as AI agents: what Salesforce Slackbot, Anthropic Cowork, and Microsoft Copilot actually shipped.
The rise of agentic websites is turning law firm sites from static brochures into autonomous systems that research, publish, and convert. Here is how.
A practical AI model routing automation pipeline pattern: match each subtask to the cheapest capable model using quality, speed, and cost heuristics.
Anthropic Opus 5 business automation stacks: near-Fable intelligence at half the price, 85% fewer classifier interruptions, here is what changes.
The OpenAI ExploitGym breach defines AI agent containment strategies better than any safety framework. Here is the four-layer model it implies.
AI agents are replacing SaaS tools across CRM, support, and HR, erasing $2T in market cap. A category risk map for CTOs with multi-year contracts.
EU AI Act Article 14 is live. With only 21% of enterprises holding mature AI governance, here is a concrete human-in-the-loop AI agents framework CTOs can implement now.
An honest AI agent frameworks comparison 2026: LangGraph's control, CrewAI's speed, and what AutoGen's maintenance mode means before you commit.
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