Tech10
AI Philosophy

AI Philosophy

The principles behind building AI that works. Why patience, judgment, and human oversight still matter.

AllAI ConsultingAI StrategyAI AgentsAI FundamentalsPracticalAI PhilosophyAI for ManufacturingAI for LogisticsAI for EcommerceAI for MarketingAI for Business
Hand-drawn illustration of a worn footpath beside a paved road
AI Philosophy

Shadow AI Isn't the Enemy. Killing It Is.

Blanket bans on shadow AI don't stop the usage. They push it deeper underground. A contrarian take on what to do instead.

7 min read • Apr 21, 2026
Hand-drawn illustration of a racing hourglass tipping forward with cracked foundation blocks beneath it
AI Philosophy

The Real Cost of Moving Too Fast with AI

Speed matters. But in AI, the wrong kind of speed creates problems that cost three to five times more to fix later than to prevent upfront.

4 min read • Apr 6, 2026
Hand-drawn illustration of a hammer hovering above a small screw
AI Philosophy

Most Teams Don't Need Fine-Tuning. Here's What They Actually Need.

About 90% of fine-tuning projects shouldn't happen. Three questions that end most of them before they start, and what to do instead.

8 min read • Mar 20, 2026
Hand-drawn illustration of three horizontal lines crossing a dotted threshold marker
AI Philosophy

Agentic AI Isn't New. Here's What Actually Changed.

The contrarian take: agentic architecture existed in 2022-2023. What shifted in 2026 is a reliability story, not a capability one. Three numbers crossed a threshold.

7 min read • Mar 16, 2026
Hand-drawn illustration of a small box wrapped in loops of string
AI Philosophy

Most "AI Agents" Are Still Generative AI With Extra Steps

Most products labeled "AI agent" in 2026 are generative AI wrapped in a for-loop. A four-test filter to tell agents from workflows before you pay for the wrong one.

8 min read • Mar 10, 2026
Hand-drawn illustration of a human figure connected to an AI node through a circular feedback loop
AI Philosophy

Human in the Loop: Why the Best AI Systems Still Need People

AI handles the volume. Humans handle the nuance. The best systems are designed with people in the loop from the start, not bolted on after something breaks.

5 min read • Feb 26, 2026
Hand-drawn illustration of an iteration spiral progressing from a rough draft to a refined polished circle
AI Philosophy

Good Enough Isn't Good Enough: Why Patience Makes Better AI Systems

The difference between a system that lasts and one that breaks is the willingness to rebuild. Patience is the most underrated advantage in AI.

5 min read • Jan 27, 2026