Process Automation & Efficiency - The Thinking Lens

Sign in Subscribe

Process Automation & Efficiency

A collection of 11 posts

Weekend Reflections #1 | The Momentum Wave

Human-AI Collaboration

Weekend Reflections #1 | The Momentum Wave

Most ideas don't die because they are bad; they die when momentum breaks before testing. AI shrinks the gap between thought and test, creating a Momentum Wave where natural language lets anyone prototype. But beware: speed without customer validation is just fast failure.

Vibe-Coding Is a Filter, Not a Threat: How to Use It Without Wasting Your Team’s Time.

Human-AI Collaboration

Vibe-Coding Is a Filter, Not a Threat: How to Use It Without Wasting Your Team’s Time.

AI is changing the world fast. Stop focusing on who is using what tool. Focus on why, and double down on the human skills that AI can't replicate: your judgment, your creativity, and your scars. That is the only moat that lasts.

We’ve Reached the Point Where Good Writing Looks Suspicious

Human-AI Collaboration

We’ve Reached the Point Where Good Writing Looks Suspicious

A Personal Perspective on AI, "Polished Emptiness," and the Primacy of Thought.

PAIR: A Simple Model for AI-Accelerated Apprenticeship

Human-AI Collaboration

PAIR: A Simple Model for AI-Accelerated Apprenticeship

AI should speed work, not erase the training ground. A Seniors-only + AI model boosts short-term output but drains your pipeline and increases risk. Try Senior + Junior + AI: juniors draft with AI, seniors inspect thinking. Treat mentorship as first-class work and measure it. Build great teams. Now.

Beyond the Dashboard | Principle 5: Focus on Adoption, Not Just Delivery

Data-Driven Decision Making

Beyond the Dashboard | Principle 5: Focus on Adoption, Not Just Delivery

Shipping is overhead; adoption is the asset. In B2B, features stick and removal is costly, so prevent bloat. In B2C, unused features fuel silent churn. AI can surface adoption signals, not define value. Lead by asking: what delivers outcomes, not what shipped. Treat non-adoption as debt. Measure it.

Control, Delegate, or Disappear: Thriving in the Age of AI Agents

AI Governance & Risk Management

Control, Delegate, or Disappear: Thriving in the Age of AI Agents

Agents aren't UX upgrades. They're decision-makers. Mistaking automation for intelligence is a strategic failure. The shift is from operating tools to governing outcomes. Delegate objectives, embed escalation and governance, or your product becomes invisible in an agent-led economy. Govern it. Now

AI and the Speed Trap: Why Reskilling Alone Won't Save You

AI Governance & Risk Management

AI and the Speed Trap: Why Reskilling Alone Won't Save You

AI won't erase jobs; speed will. The stability-to-obsolete window is collapsing. Stop chasing perishable skills like prompt engineering. Invest in durable capabilities: problem framing, systems thinking, learning velocity, and influence to thrive through constant role shifts.

From “Don’t Do” to “Do Well”: Designing Instructions That Make AI Useful

Prompt Engineering & AI Instructions

From “Don’t Do” to “Do Well”: Designing Instructions That Make AI Useful

Instruction design turns a chaotic GPT into a reliable tool. Replace a 'don't do' list with a clear operating model: retrieve verbatim from the knowledge base, format consistently, handle exceptions, and test like software. Positive, explicit rules cut variance and improve UX.

Your Copy is Correct. It’s Also Forgettable.

Prompt Engineering & AI Instructions

Your Copy is Correct. It’s Also Forgettable.

Generative AI boosts efficiency but flattens voice. When tools push language toward the average, brands and leaders lose distinctiveness. Use AI for polish, not personality. Document tone, keep signature quirks, and build private style models to protect authenticity at scale. Keep your edge.

The Verde Archive bot

Process Automation & Efficiency

The Verde Archive bot

LinkedIn buries my old posts, so I built a lightweight AI lookup. Titles and links sit in JSON with ChatGPT-made tags. A custom GPT does prompt-based retrieval. Not full RAG, just fast recall. Next: automate updates via API. Guardrails keep it a helper, not a clone.

LLMs, Longform, and Low-Code: What Worked (and Broke) in Real-World Tests

Prompt Engineering & AI Instructions

LLMs, Longform, and Low-Code: What Worked (and Broke) in Real-World Tests

LLMs aid with tight, scoped tasks: cut redundancy, multipass feedback, summary maps, brainstorming. But they struggle with long inputs, continuity and consistent voice. Useful for scaffolding and agents, not autopilot. Keep humans on structure, logic and style. Use models to spot patterns.