Resources Blog

Practical ideas for AI-native work.

Evidence-led guides on directing AI, exercising judgment, and turning real work into proof.

6 Sept 202611 min read

GPT-6 Astra May Scare Senior Professionals More Than University Students

AI may threaten the skills and identity senior professionals spent decades building. Students face a deeper question: where will their first experience come from?

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26 Aug 20268 min read

What AI Agent Engineers Actually Do: The Real Work Behind Production Agents

A practical look at the daily routine of an AI agent engineer, from tracing failures and improving tools to running evaluations, setting approval boundaries, and operating agents after launch.

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20 Aug 202614 min read

Build a Low-Cost Agentic RAG Support Bot with Mem0 and OpenAI

Build a lower-cost customer support agent that uses Agentic RAG to retrieve company knowledge and customer memory only when the current question needs them.

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15 Aug 202611 min read

Your “Hi” Is Not the Whole Prompt: What AI Apps Actually Send to the Model

A tiny AI message can sit inside thousands of tokens of system instructions, memory, history, tools, files, and retrieved context. Here is how to reason about the hidden context and its cost.

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15 Aug 202611 min read

Cloudflare vs CloudFront: How Edge Security Protects Your Website

Cloudflare and Amazon CloudFront can absorb attacks, terminate HTTPS, cache safe content, filter requests, and rate-limit abuse before traffic reaches your application—but only when the edge is enforced as the front door.

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15 Aug 202611 min read

Stop Buying Custom AI Agents. Hire AI-Native Employees Who Can Build Them.

For many companies, the durable advantage is not a collection of vendor-built agents. It is AI-native employees who understand the business and can continuously build, judge, operate, and improve agents around real work.

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13 Aug 20265 min read

What Is AI-Native Talent—and How Do You Become AI-Native?

AI-native talent does more than use AI tools. It combines curiosity, judgment, reusable leverage, fast learning, cross-functional range, and responsibility for real outcomes.

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13 Aug 20266 min read

Why Everyone Begins Working More Like a CEO in the AI Era

As AI agents take on more execution, more people must choose outcomes, allocate attention, delegate work, judge evidence, manage risk, and remain accountable for what happens next.

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13 Aug 20265 min read

Context Pollution: When More Context Makes AI Agents Worse

Context pollution happens when irrelevant, stale, duplicated, or conflicting information competes with the instructions and evidence an AI agent needs for its current task.

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13 Aug 20268 min read

How to Find a Startup Idea: Search for Evidence, Not Inspiration

A practical system for finding startup ideas by combining customer pain, existing spending, market direction, competitive gaps, distribution, and AI leverage.

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