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​Your AI Demo Works. Your AI Product Doesn't. The Harness Is Why
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Vatsal Bhardwaj, Forbes Councils Member

· 2 min read

World NewsForbes: Innovation

​Your AI Demo Works. Your AI Product Doesn't. The Harness Is Why

Vatsal Bhardwaj - Founder and CEO, Jabali AI. Expert in AI, Gaming and Cloud Computing.

Every executive has lived some version of this scene. A team gathers around a screen. Someone types a prompt. The model does something remarkable—drafts the contract, triages the ticket, writes working code—and the room decides the future has arrived. A budget appears. A pilot launches.

Then nothing ships.

The numbers say this is normal. MIT researchers found that 95% of enterprise generative AI pilots deliver no measurable P&L impact, and Gartner expects more than 40% of agentic AI projects to be canceled by the end of 2027. The comfortable explanation is that the models aren’t ready yet. After two years of shipping autonomous AI systems in one of the most unforgiving domains I know, I’ve come to believe the comfortable explanation is also the expensive one.

The space between a dazzling demo and a dependable product is where most enterprise AI investments now go to die, and bigger models don’t close it.

What Is A Harness?

The harness is everything you build around the model: the context it sees, the tools it can use and the sandboxes it acts in. It is also the workflows that sequence its work, the memory that grounds it in your business and the evaluation loops that tell you whether the output is any good before your customer finds out.

Demos don’t need harnesses. A demo is one attempt, on a forgiving example, judged by an audience rooting for the magic. A product is ten thousand attempts a day, on real customers’ messy intent, judged by people who don’t care how impressive the technology is, only whether the thing works. Demos are graded on the best case. Products are graded on the worst one.

Why Games Taught Me This

• Structure beats freestyle. When you control the scaffold, models stop inventing architectures and spend their capability on craft instead.

• Autonomous agents need walls. Sandboxes are what let ours take big swings in real code without taking down anything that matters.

Original source

This story was published by Forbes: Innovation and written by Vatsal Bhardwaj, Forbes Councils Member. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on forbes.com

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