AI Accelerator Institute

There's a slide I open with that always gets people curious. It reads: 47 experiments. Zero humans. One night. People assume it's a movie tagline. It's not…

AI gets the headlines. Fiber does the heavy lifting.

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Prompt rules couldn’t stop a phone agent from confirming messages it never sent. Emre Benian makes the case for letting the model propose and a workflow act, backed by test results from moving dates, identity checks, and receipts into code.

Raising a big round is the easy part. A deeptech founder explains how project-level budgets, evidence-based milestones, and AI-assisted analysis help every pound of R&D capital buy down real risk.

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System One models promise fast, calibrated agent decisions. A wave of recent papers shows where they slip, and the cheap fixes that work…

Agentic commerce is no longer just a shopper-side story. The same AI that guides your customers is now reaching into the back office, where merchandisers still configure rules, analyze performance, and replicate campaigns across storefronts by hand.

A robot hire needs a safety case and an insurer long before it needs a badge. Six questions turn a vendor demo into a decision you can defend.

Eight problems keep landing on AI leaders' desks, and each has a fix backed by fresh data. Start with the two that cost you most this quarter.

When you're building an AI agent for 70 million users, the stakes are a little different than when you're prototyping something for a demo. The margin for error shrinks. The edge cases multiply. And the things that feel like minor details in development become very real problems in production…

Usage metrics show who logged in. Neetu Yadav sets out a five-part evidence standard covering reach, depth of use, quality, risk, and business impact, so enterprise leaders can scale agentic AI with confidence.

Many enterprise AI initiatives started the same way over the past several years: renting cloud capacity, running pilots, and scaling successful projects. That approach made sense when nobody knew if these use cases would actually hold up in a live production environment…

A frontier model reformatting JSON is expensive overkill. Here are seven sourced reasons small language models earn a place in your 2027 roadmap, and how to start.