Frontier models, AI agents, and voice automation, tested in the open and written up by the people building with them.
Most AI voice receptionists forget every caller the moment they hang up. Here's the real problem we hit at Intueo, how we built one that actually remembers using our stateful Sage agents, and why it's the part that matters most. (Currently in private testing, available on request for a demo.)
We spent the last few days testing Mythos, and it was unlike anything else in the field. Then the most impressive model we have ever used became the center of a national-security storm: cyber-capability flags, curtailed access, an investor reportedly uneasy in advance, governance debate stretching to India, and a stinging rebuke from AI godfather Geoffrey Hinton. Here is what actually happened, grounded in the record, and why it matters for everyone who builds on this technology.
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Two announcements in the same week pushed autonomous AI agents from helpful assistants to actual buyers. Visa integrated with ChatGPT so agents can purchase on their own at Visa merchants, while Coinbase is leaning into AI-driven portfolio trading. This is the moment agentic AI stops talking and starts spending.
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For all the excitement around what AI can build, the same technology is being turned to harmful ends. A surge in AI-generated "nudify" tools is fueling bullying, especially among kids, while broader fears about misinformation and AI in elections keep growing. This is the conversation the industry cannot afford to skip.
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Anthropic just launched Claude Fable 5 and Claude Mythos 5, the first generally available Mythos-class models. We break down every major claim, the benchmarks, the science, the safeguards, and the pricing, and we share what we are seeing first-hand running Fable 5 inside the Intueo platform.
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OpenAI has been steadily turning ChatGPT into something that can plan, schedule, and carry out multi-step work on its own. We think that is great news, even for a platform like ours that has been building in this direction for a while.
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At WWDC 2026, Apple unveiled a complete overhaul of Siri, rebuilt on Apple Intelligence and a new partnership with Google. Here is what changed, and why it matters for anyone who cares about conversational AI.
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After months of quietly running pilot projects alongside a handful of generous early partners, we are excited to announce that Intueo's three enterprise service pillars are now open to everyone. Here is what we built, who helped us prove it works, and what you can do with it today.
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From agents that finally do real work to the rise of persistent memory and browser-native AR, the AI landscape is moving fast. Here is a brief, practical roundup of the trends we are watching most closely this season.
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We built a multi-agent orchestration system where AI agents could team up, assign leaders, and communicate through A2A protocols. After months of testing, we scrapped it entirely. Here is why shared memory turned out to be the better architecture.
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Most AI tools today are generic assistants. Intueo is something different. It is an operating system for building, running, and managing a team of specialized AI agents, each with its own personality, expertise, persistent memory, and toolset. Here is how it works.
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The enterprise call center is undergoing its biggest transformation in decades. As voice AI platforms now handle millions of calls per month, rigid keypad menus are being replaced by natural conversation. Here is what that shift means for your business.
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We were thrilled to represent Intueo Labs at the second annual Web Summit Vancouver, joining over 20,000 attendees from more than 100 countries to showcase our vision for agentic AI that transforms how businesses operate.
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As Mental Health Awareness Month approaches, we examine how generative AI and language models are providing accessible support to millions who cannot access traditional therapy, backed by emerging research showing promising results.
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The release of Opus 4.6 arrived without the typical theatrical demos. But for those building autonomous infrastructure, this is the most significant model update in over a year. A look at why operational dependability matters more than benchmark headlines.
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How an AI receptionist can keep your schedule clean, reduce no-shows, and connect calls directly to your calendar and CRM. Discover the difference between conversational bots and agentic voice systems.
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Claude Opus 4.5 blends frontier AI performance with cost efficiency. Discover what's new, benchmark results, and how it unlocks intelligent automation across business workflows.
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Google has quietly entered a new phase of its AI roadmap with Gemini 3. This post breaks down the new reasoning capabilities, tool integration, and what it actually means if you build with AI.
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How to tell if your bots and voice AI are actually working. This post breaks down the core metrics that matter for AI in customer service and voice automation.
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How things are actually shifting right now: From chatbots to agentic AI, breaking classic IVR, and the rise of stateful agents as the new default.
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Are your teams drowning in busywork? Here are 5 clear signals that it's time to implement AI automation to scale your operations and reclaim your time.
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Why most AI agents fail at complex tasks, and how 'Stateful AI' is solving the problem by remembering context, preferences, and history just like a human employee.
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A complete step-by-step guide to implementing an AI receptionist that handles calls, books appointments, and provides 24/7 customer service without the overhead.
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Traditional IVR menus frustrate callers. Learn how modern conversational AI creates intelligent phone experiences that feel like talking to a concierge, not navigating a maze.
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Voice is the most natural way to communicate. Discover why leading businesses are shifting from text-based chatbots to human-quality Voice AI for superior customer experiences.
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Chatbots answer questions. AI employees complete work. Learn why stateful, tool-connected AI employees deliver exponentially more value than traditional conversational interfaces.
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