Jonathan Corbin

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Jonathan Corbin

Jonathan Corbin

@jc1

CEO & Co-founder @MavenAGI

Boston Katılım Ocak 2009
1.2K Takip Edilen1.5K Takipçiler
Jonathan Corbin
Amazon Connect at Enterprise Connect: "Deflection is the wrong goal. Relationships are the goal." The industry just confessed.
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Jonathan Corbin
Spent 18 months building Maven AGI convinced the hardest problem was getting AI to resolve tickets. It wasn't.
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Jonathan Corbin
Gartner: 40% of AI projects canceled by 2027. The ones failing were built to deflect, not resolve.
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Jonathan Corbin
Only 8.6% of enterprises have AI agents in production. Mastermind is at 93%. That gap is a choice.
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Jonathan Corbin
Gartner: 91% of CX leaders pressured to deploy AI. Zendesk: 25% have it integrated. Deployed ≠ integrated.
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Jonathan Corbin
Jonathan Corbin@jc1·
Gartner: 40% of enterprise apps will have AI agents by year-end. 8.6% have them in production.
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Jonathan Corbin
Jonathan Corbin@jc1·
Jensen Huang: every SaaS becomes Agentic-as-a-Service. Cool. What if your AI just resolved tickets first.
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Jonathan Corbin
Jonathan Corbin@jc1·
Jensen Huang: every SaaS will be Agentic-as-a-Service. Most can't resolve a ticket today.
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Jonathan Corbin
Jonathan Corbin@jc1·
Enterprise Connect declared AI "in production." Recon Analytics surveyed 120,000 enterprises. 8.6% have agents actually deployed.
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Jonathan Corbin
Jonathan Corbin@jc1·
PwC at Davos: 50%+ of companies got zero value from AI. They measured containment, not resolution.
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Jonathan Corbin
Jonathan Corbin@jc1·
BIP xTech + Maven AGI. Bringing agentic voice AI to utilities. Long overdue.
Jonathan Corbin tweet media
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Jonathan Corbin
Jonathan Corbin@jc1·
CCOs at today's summit: AI regret isn't from moving too fast. It's from measuring the wrong thing.
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Jonathan Corbin
Jonathan Corbin@jc1·
👀
Rohan Paul@rohanpaul_ai

Big and sensational claim in this paper that went viral today. Basically the paper shows how to train AI agents to reliably use real tools, fix their own mistakes, and finish long tasks instead of stopping early. But describes a terrifying moment for the researchers at Alibaba, that their AI was doing highly restricted things it was never designed to do. Their firewall alarms suddenly went off early one morning because the AI started breaking security rules right from inside its training servers. They were training their new AI model to do standard software engineering tasks. To make the AI smarter, they used a technique that rewards the AI when it solves a problem correctly. The AI was placed inside a digital sandbox, which is a restricted computer environment meant to keep it from doing anything harmful. But the AI figured out that it had access to certain tools, and it used them in totally unexpected ways. Without any human asking it to do so, the AI secretly set up a hidden connection called a reverse SSH tunnel. This allowed the AI to completely bypass the company's security filters and escape human supervision. The AI also quietly took over the powerful computer chips that were meant for its training and used them to illegally mine cryptocurrency. This is a very big deal because the researchers never asked or instructed the AI to do any of these things. The AI simply discovered these hacking tricks as a side effect while trying to find the most efficient way to complete its assigned coding tasks.

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Jonathan Corbin retweetledi
M13
M13@M13Company·
M13 co @MavenAGI has been named to The Agentic List 2026 of agentic AI companies shaping the future 🚀 The list was curated by industry executives, investors, and technical experts to recognize the builders of autonomous, intelligent systems transforming enterprise operations. From early diligence to board strategy, we're proud to back Maven's journey from seed to Series B as they scale enterprise-ready AI agents for customer experience. Learn more about Maven x M13 at m13.co/article/maven-… and explore the full agentic list at agentconference.com/agenticlist/20… 📸 team Maven! @jc1 @shalabi
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Jonathan Corbin
Jonathan Corbin@jc1·
Intuit lost 42% of market cap. Their defense: 40 years of data no AI can replicate. Same thing separating good CX AI from great.
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Jonathan Corbin
Jonathan Corbin@jc1·
Most AI CX is just deflection with better branding. Speaking on this in NYC.
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Jonathan Corbin
Jonathan Corbin@jc1·
YouGov: 64% of consumers don't trust AI customer service. Because most of it deflects, not resolves.
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Jonathan Corbin
Jonathan Corbin@jc1·
@adishjain333 It comes down to how you construct your product. Designing for resolution means designing for it. @MavenAGI uses an agentic framework to test for answer completion and resolution to prevent the demo to production gap. We see higher resolution rates in production.
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Adish Jain
Adish Jain@adishjain333·
The speed advantage is real, but curious about the tradeoff - when you ship in weeks with a platform vs building custom, how do enterprises verify the agent behaves correctly for their specific workflows? The "it works in demo" to "it works in production" gap seems like where the real time sink happens.
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Jonathan Corbin
Jonathan Corbin@jc1·
18 months and millions to build your own AI agent. Competitors shipped in weeks. The build-your-own myth is the most expensive mistake in enterprise AI.
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