Erhan K.

Dashboards don’t create accountability. They create meetings. Charts get shared. Everyone nods. Action items get “noted”. Same problems. Next quarter. Accountability doesn’t come from visibility. It comes from systems — where ownership is clear and decisions can’t be ignored. I wrote a short note on why dashboards feel productive but rarely change behaviour — and what actually does. If your org has great dashboards but the same issues every review… this will sound familiar. Dashboards Don’t Create Accountability — Systems Do: https://lnkd.in/gCGpm-VU

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As COO at www.jaiinfoway.com this is an important signal for where agentic AI is heading. Non technical implementations are catching up fast but the real story is iteration speed and learning loops. Building Cowork entirely with Claude Code shows how agents are becoming first class workers not just assistants. At www.jaiinfoway.com we see this shift clearly as enterprises move from copilots to autonomous task execution with guardrails. UX will evolve tooling will mature but the direction is set. Curious how others here see non technical users adopting agent driven workflows this year. Are we ready for agents as coworkers. #Jaiinfoway #AgenticAI #Claude #AIAgents #EnterpriseAI #FutureOfWork #AIProductivity #AITransformation #AILeadership

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Agentic AI - The Next Engineering Frontier The shift from reactive AI to proactive agents is accelerating faster than most anticipated. We're moving beyond single-task models to autonomous systems that can plan, execute, and adapt—fundamentally changing how we architect intelligent systems. Key trends shaping 2025: - Multi-agent orchestration replacing monolithic deployments - Tool-calling capabilities becoming standard across LLMs - Reasoning chains enabling complex problem decomposition - Human-AI collaboration patterns emerging as the sweet spot The roadmap ahead involves solving coordination complexity, establishing safety guardrails, and building robust evaluation frameworks. Benchmarks like GAIA remind us how challenging true general intelligence remains—even for seasoned engineers. As we scale these systems, the focus shifts from "can we build it?" to "how do we govern it responsibly?" The engineering challenges are immense, but so is the potential impact. Recently completed Hugging Face excellent agentic AI course—their practical approach to complex concepts is impressive. The hands-on framework really crystallizes the architectural patterns we're seeing in production #AgenticAI #Engineering #MachineLearning #TechLeadership #AIStrategy

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A federal judge has ruled that Anthropic's use of published books to train its AI models falls under fair use, marking a significant legal precedent in AI copyright disputes. This decision emphasizes that AI companies can argue fair use to justify transforming copyrighted materials for training, despite concerns over unauthorized copying and piracy. However, the ruling highlights ongoing legal uncertainties, especially concerning the methods of data acquisition and the extent of damages related to piracy. https://lnkd.in/guwV_tYC

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Matt Searles has perfectly encapsulated the moral and functional primitives for autonomous systems, and presents the best Human/AI oversight framework I have seen to date. This is a very thoughtful series that deserves attention.

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Rick Doten’s latest article explores how agents can subtly deviate from their mission—not by mistake, but by intent—a phenomenon called drift. His next paper will dive into how to detect and prevent this using an Ethical Framework, Sentinel-Council Architecture, and Knowledge Graphs. A must-read for anyone working with Agentic AI.

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Jail Diversion Myths: What most people get wrong about the practice. Jail diversion isn't a "get-out-of-jail-free" card—far from it. It's a thoughtful alternative to the traditional justice system, aimed at addressing the root causes of certain offenses rather than simply punishing them. Many individuals in these programs are low-level offenders. Their actions stem from mental illness or substance use disorder. For them, these issues are not addressed through incarceration they are often compounded. Jail diversion focuses on prevention and rehabilitation, helping people get the support they need to avoid reoffending. Still there are some common misconceptions: 1️⃣ It's too lenient 2️⃣ It drains public resources 3️⃣ It encourages reoffending 4️⃣ It's unfair to victims These concerns are valid—but they’re often based on misunderstanding. Jail Diversion doesn't let people off the hook—they’re about doing what actually works.

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COOs over Machinery Production: Error Codes + Release notes impact what AI tells buyers about your product and its risks. [Case Study] I conducted a State of the Union in AI Visibility for a portfolio of machines ranging $10,000-$20,000 each. Gemini is surprising: 1️⃣ Gemini understood how parts made of gold versus silver impacted performance and created data noise. 2️⃣ Gemini understood there is a tolerated issue with a single part, and articulates the error code to buyers, combined with the estimated cost to fix it and potential cost of machine down time if this part breaks. 3️⃣ Gemini understands the concept of a "tax" for brand-specific consumables required by the machinery, versus competitors that worked well with any brand's consumables. 4️⃣ The machinery's software updates were being evaluated for risk and deduced that "firmware updates" were likely associated with complaints of connectivity drops. Are your product design, development, support and sales teams working now to address unfavorable AI narratives? We bring the governance, systems, frameworks and monitoring across Ops + Marketing + SEO. It's the greatest lever to improve AI narratives for what your brand sells.

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Wow. What a week! GPT-5 models are now available on AnyQuest. If you are using built-in model connectors, your assistants and agents will automatically switch to the new models. We will coordinate the migration paths with our enterprise clients using custom model connectors and deployments.

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Welcome Natan Linder, Co-Founder and CEO of Tulip Interfaces on this episode of 🔥The Lantern 🔥 Tulip Interfaces helps manufacturers build production systems that put people first with no code, low code, and other AI tools to turn operational knowledge into apps, workflows, and continuous improvement. 🔍 What happened in 2025 as the team heads into 2026? 🔎 Tulip wrapped their largest-ever “Operations Calling” conference with 700+ attendees to end 2025. Their platform is processing north of 620 million automations, 70 million application-based processes, and 35 million station hours. They're about to cross 30 billion contextualized data points! They also acquired the talented Akooda (acquired by Tulip) team, led by Yuval Gonczarowski, bringing enterprise AI search and deep learning expertise into their platform to help customers sift through massive operational datasets. In January, they announced a $120M fundraise led by Mitsubishi, that values Tulip at $1.3B. 🤔 Why does manufacturing need specialized AI? 🤔 Unlike software engineers who can freely experiment with their AI agents, real world operations require more rigor. Downtime and/or destroyed raw materials costs millions. Tulip is building AI copilots, composer products, and full agentic frameworks that are safe for the factory floor in regulated industries like pharma, medical devices, and aerospace. 🧠 What has Natan learned from building Tulip? 🧠 Work very close to customers. Natan believes a startup's focus should be split into 80% on customers, 10% on markets, and 10% for hallucinations. That customer obsession drove their Akooda (acquired by Tulip) acquisition. Operations leaders are knowledge workers too and need AI verticalized for their specific needs to democratize access to manufacturing expertise and elevate operations teams. 🤝 How can we help Tulip scale? 🤝 Tulip is in full sgrowth mode heading into 2026. If you're an engineer passionate about manufacturing, AI, or hard tech, or know world-class operators who want to transform how physical products get made, reach out! Boston is building the future of intelligent manufacturing and Tulip is leading the charge. The Lantern is brought to you by MGMT Boston, Rho, & Invest Northern Ireland – Americas this month

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Shipping today: Cartesia’s Ink-Whisper on Vapi. Latency is critical. Slow STT ruins conversations. With Ink-Whisper, just one line in your Vapi config gets you: - Faster, streaming-optimized transcripts - Better handling of background noise and accents Read more: https://vapi.sh/u4KRN67

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@FTC slams robot-toy maker Apitor for steering children’s location data to a Chinese third-party without parental consent, a violation of #COPPA. The settlement orders full data deletion and a $500K fine. An expensive reminder that privacy shortcuts aren’t worth it. the only way to know the your #mobileapps behaviors is through thorough testing, including the apps third party sdks. #mobileapprisk #privacy #testdontguess https://lnkd.in/e-aXbMxg

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