AI voice agents
AI voice agents are moving from experimental tools to serious business infrastructure. But as more service businesses deploy them to handle inbound calls and book appointments, a technical question is becoming a commercial one: how much control do you actually have over what your AI says? The difference between a
AI technology
Anthropic just released Fable, a new Claude model that sits between the existing Sonnet and Opus versions. For businesses running AI voice agents or intake automation, this matters less for the immediate upgrade and more for what it signals about where AI tooling is headed. Here's what Fable
AI agent workflows
Nvidia just announced a major push into physical AI. If you run a service business, you might be wondering what robots in warehouses have to do with answering your phones. The short answer: nothing directly. But understanding the difference matters when you're evaluating AI vendors who throw around
AI voice agents
Anthropic's decision to file for a public offering marks a turning point for artificial intelligence. It signals a shift from venture-backed experimentation to revenue-generating infrastructure that businesses can rely on. For service firms still manually answering every call, this is your wake-up call. The move validates what early
AI for service businesses
Alphabet just committed $80 billion to AI infrastructure. That's not a bet on the future. It's a statement about the present. When the parent company of Google decides to spend that kind of money, it's not gambling on experimental technology. It's building
SEO
If you run a service business and rely on Google to bring in leads, you already know the drill. Rankings slip. Competitors appear out of nowhere. Technical issues pile up while you're busy delivering the actual service. That's where automated SEO comes in. Not the spammy,
AI automation for service businesses
Meta just released an AI model that generates custom tools from plain text descriptions. You describe what you need, and the AI builds it. This matters for service businesses already using AI automation because it signals a fundamental shift. We are moving from configuring pre-built tools to AI creating tools
AI intake for law firms
Most attorneys evaluating AI intake systems start by asking which large language model powers the platform. Is it GPT-4? Claude? Gemini? Wrong question. The model running under the hood is the least important factor in whether an AI voice agent will actually help your firm capture more leads and sign
AI phone systems
Anthropic released Claude Opus 4.8 this month. If your firm uses AI phone systems for intake, you might be wondering whether this update matters for your bottom line. The short answer: it depends on how your vendor built their system and which model they use. But the improvements in
AI for small business
Microsoft just announced MAI-Thinking-1, an advanced reasoning model designed to compete with OpenAI's latest releases. Tech publications are calling it a significant shift in the AI landscape. And for your business, it means absolutely nothing. While Big Tech chases increasingly complex capabilities, most law firms and service businesses
SEO
Most law firms treat content like a checklist. One DUI page. One immigration page. Maybe a blog post when someone remembers to write it. Then they wonder why they rank on page three whilst their competitor owns position one for every related search in town. The difference is topical authority.
SEO
Google's AI Overviews are quietly reshaping how your potential clients find you. If your business relies on organic search traffic to generate leads, you need to understand what's happening at the top of the results page. AI Overviews now appear for a growing number of commercial