Richard Ewing

Product advisor at Entrepreneurs of Tomorrow

Expertise: Product management

Education: ITT Technical Institute-Seattle; City University o

Richard Ewing is The AI Economist, founder and CEO of Exogram.ai and CareerWin.ai, creator of RichardEwing.io, and an advisor on enterprise AI strategy, governance and product innovation. Through his companies and research, he explores how intelligent systems are designed, governed and scaled, helping organizations build AI that is secure, economically sustainable and ready for production.  

17 Articles

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Richard Ewing Richard Ewing
Updated on September 23, 2026

I Put AI Agents in Charge of My To-Do List. Here’s What They Actually Took Off My Plate.

I ran an experiment by handing off a bunch of chores to autonomous agents. The results were surprising.

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Richard Ewing Richard Ewing
Updated on September 23, 2026

Claude Code vs. Gemini Spark: How Do They Compare?

Claude won the terminal. Google is betting on the background.

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Richard Ewing Richard Ewing
Updated on September 09, 2026

What Is a Frontier Model?

A frontier model is an AI system operating at the current leading edge of capability. The category isn’t fixed: as newer systems solve harder problems, what was considered frontier can quickly become ordinary software.

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Richard Ewing Richard Ewing
Updated on September 10, 2026

Who’s Actually Responsible for Your AI Agents?

None of the existing roles in a business are equipped to handle AI agents in production. You need a systems governor.

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Richard Ewing Richard Ewing
Updated on August 26, 2026

How Does Meta’s Muse Code Compare to Other AI Coding Tools?

The next AI coding battle isn’t about autocomplete. It’s about which tool can handle the whole task.

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Richard Ewing Richard Ewing
Updated on August 19, 2026

I Used AI to Build My Startup. Here’s What I Learned.

I used both Cursor and Google Antigravity to build a business. Six months of late-night error messages taught me a lesson I didn't expect.

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Richard Ewing Richard Ewing
Updated on July 29, 2026

Fable 5 vs. GPT-5.6 Sol: Which Model Is Better?

I put each model through a series of everyday tasks. Here’s what I learned about what they’re good at.

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Richard Ewing Richard Ewing
Updated on July 29, 2026

What’s Standing Between Your Agent and Your Database?

Inference is probabilistic; execution must be deterministic. You need a three-gate pipeline that protects databases and APIs from unauthorized AI agent actions.

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Richard Ewing Richard Ewing
Updated on June 24, 2026

How Do You Know When an AI Agent Has Gone Rogue?

AI agent architectures have a serious flaw because they collapse of deterministic boundaries between inference and execution. That makes a breach hard to detect until it’s too late.

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Richard Ewing Richard Ewing
Updated on June 11, 2026

Does Your AI Agent Need a Kill Switch?

The common approach to AI agent security is based on guardrails that amount to guesses. A real security program needs rigid rules, not probabilistic predictions.

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Richard Ewing Richard Ewing
Updated on April 02, 2026

Most AI Projects Just Burn Cash. Here’s How to Make Them Profitable.

Most AI features are money sinkholes subsidized by venture capital. I developed the Evergreen Ratio to ensure your unit economics actually work.

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Richard Ewing Richard Ewing
Updated on March 25, 2026

In the Vibe Coding Era, What Does a Software Engineer Even Do?

AI coding assistants have redefined the work of the software developer. Our expert explains what the job will look like going forward.

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