Increase AI tool adoption by outpacing the status quo
Your rollout isn’t competing with other tools—it’s competing with the fastest workaround. Learn how to match speed and freedom to increase AI tool adoption that lasts.
AI-proof real-world moats: Build where atoms win
In an AI-saturated market, AI-proof real-world moats form where physics imposes friction. Shift your roadmap toward hybrid, on-the-ground work to regain pricing power.
Least Privilege for AI Agents: Remove Risky Paths with Technical Controls
AI agents optimize for speed, not risk. Apply least privilege for AI agents with environment isolation, scoped credentials, and CI/CD gates so they move fast only where it’s safe.
Iteration Beats Perfection: How to Iterate LLM Prompts
One-shot prompts fall flat because intent is fuzzy. This playbook shows how to iterate LLM prompts—draft, react, refine—to get aligned, usable results fast.
How to Structure LLM Workflows for Verifiable, Inspectable Synthesis
Escape opaque chat UIs by treating your corpus like a searchable dataset. Regain control, steer synthesis, and verify every step in a structured, inspectable workspace.
Risk-based AI Validation: Rule Tiers and Infraction Budgets That Cut Retries
Strict, all-or-nothing checks burn tokens and time. Learn how risk-based AI validation uses rule tiers and an infraction budget to cut retries and boost ROI.
Prompt Low-Probability AI Responses for Distinct, Coherent Options
Most LLMs default to safe answers. Ask for multiple low-probability, coherent options with guardrails to surface sharper angles faster—without losing control.
AI Vendor Risk Management: Treat AI Tools Like Vendors
Worry less about model memorization and more about provider controls. Learn how to run AI vendor risk management using retention, training, and access policies you already trust.
Automate Technical SEO with AI: A Proven 5-Step Workflow
Search now surfaces AI-generated summaries first. Automate technical SEO with AI to ship clean metadata, structure, and links—so you can focus on substance.
Write Clearly with AI: Clarity First for Outcome-Driven Teams
AI should sharpen messages, not pad them. Define audience and outcome, then write clearly with AI to translate, distill, and structure updates for faster alignment.