By Sebastian Chedal
Ask a content professional what worries them about AI and the answer is rarely about the technology. It’s about whether the craft itself still has a place. The craft is splitting in two, and the split has very little to do with which model you use. It has to do with why you were writing…
By Sebastian Chedal
Businesses comparing Hermes Agent and OpenClaw treat it as a winner-loser question. They are not competing for the same job. They are different layers of the same stack, and in our experience the right architecture for most agentic systems runs both, nested together, with Hermes driving and OpenClaw containing. Architectural disagreement Hermes Agent and OpenClaw…
By Sebastian Chedal
Anthropic’s engineering team published one of the cleanest write-ups available on how a multi-agent system actually works in practice. The post is about Claude Research, an orchestrator-subagent pattern built for breadth-first research. The architecture is optimized for a particular task class, and the price of admission is a roughly fifteenfold token cost compared to a…
By Sebastian Chedal
Most teams running an AI agent pilot are being asked the same question right now: what do we build next? The published guidance is a stack of vendor maturity models that name the stages without naming the decisions inside them, and the team ends up debating models, prompts, and platforms while the pilot stalls. A…
By Sebastian Chedal
Most companies deploying AI agents hit the same wall about two months in: the agent forgets everything between sessions, can’t read the company’s actual knowledge (strategy docs, pricing logic, customer notes), and has no clean way to write what it learns back to the team’s knowledge base for human review. The toolkit for solving this…
By Sebastian Chedal
If you run a website in 2026, you have probably watched three different articles about MCP, A2A, and UCP scroll past in the last two weeks and wondered whether any of it changes what you should be doing this quarter. The short answer is yes, but probably less than the headlines suggest, and not in…
By Sebastian Chedal
How We Run Claude Code and Codex Together in Production: Claude Code Drives, Codex Executes Most teams treat Codex and Claude Code as a choice to make. The pattern that compounds, as of April 2026, is to run them together: not in parallel, but hierarchically. Claude Code (Opus 4.7) is the driver. It plans, holds…
By Sebastian Chedal
Between December 2025 and February 2026, one person used two consumer AI subscriptions to breach nine Mexican government agencies, steal about 150GB of sensitive data, and expose roughly 195 million taxpayer records. No malware team. No nation-state. No custom infrastructure. A single operator, a Claude account, a ChatGPT account, and about six weeks. The forensic…
By Sebastian Chedal
Agent Governance in Practice: Why April 2026 Changed the Conversation If you’re running autonomous AI agents in production, governance just went from “we should probably think about that” to “we need this implemented before August.” Three things converged in the span of a single week that made the shift unavoidable. In this article: What the…
By Sebastian Chedal
The Numbers Are In Five independent research efforts published in the first quarter of 2026 arrived at the same conclusion: most organizations deploying AI agents have no idea how exposed they are. Gravitee surveyed over 900 executives and technical practitioners and found that 88% of organizations reported confirmed or suspected AI agent security incidents in…
By Sebastian Chedal
“Can’t I Just Google That?” A prospective client said this to me recently when I was explaining what our AI systems do. Not sarcastically. Genuinely. He couldn’t understand why anyone would pay for someone to do what he could just do himself. He didn’t hire us. And honestly, he might have been right not to….
By Sebastian Chedal
What Is an AI Agent? (The Plain English Version) An AI agent is software that can perceive its environment, reason about a goal, and take action on its own. It does not wait for prompts or just answer questions. It works. That distinction is practical, not semantic. Most AI tools in business today are conversational:…
By Sebastian Chedal
Why You Need an AI Readiness Checklist (Not Just a Strategy) Most companies that fail at AI don’t fail because they picked the wrong model or the wrong vendor. They fail because they weren’t operationally ready to use what they built. An MIT study found that 95% of generative AI implementations showed no measurable impact…
By Sebastian Chedal
Portland’s AI Consulting Landscape in 2026 A search for “AI consulting Portland Oregon” returns mostly directory listings, not actual consultants. Clutch and DesignRush dominate the first page. Template location pages from companies in Eastern Europe or Southeast Asia fill the gaps. A handful of legitimate local firms have pages up, but they’re short on substance….
By Sebastian Chedal
Why Most AI Readiness Assessments Are Broken The first page of results for “AI readiness assessment tool” is dominated by vendor funnels. Microsoft pushes you toward Azure, Cisco evaluates your infrastructure readiness for their hardware, and Avanade steers you into the Microsoft ecosystem. Every major assessment tool on page one exists to sell you something…
By Sebastian Chedal
The billable hour model is collapsing. Clients won’t pay for ten hours of junior copywriting when AI can produce equivalent or better quality output in seconds. They will, however, pay for strategy, for results, and for someone who can deploy and manage the AI agents that run their business operations. The agency of 2026 looks…
By Sebastian Chedal
We get asked what an AI automation agency actually does more than any other question. Usually the answer is a marketing page about “streamlining your workflows.” Ours is different: we ARE an AI automation agency, and we automated our own operations first. Named agents have been running our business operations for 18 months across research,…
By Sebastian Chedal
If your AI pilot stalled, you’re in the majority. Not a slim majority. An overwhelming one. The numbers across multiple independent studies all point the same direction: most AI pilots never reach production. The problem usually isn’t the technology. It’s five predictable patterns in how organizations plan, resource, and execute these projects. All five are…
By Sebastian Chedal
A manufacturing company brought us in to figure out which AI tools their engineering team needed. We started by listening. What we found was that the biggest time drain had nothing to do with AI at all. Engineers were being interrupted throughout the day with ad-hoc questions from colleagues and customers. Batching those into a…
By Sebastian Chedal
There are two worlds operating simultaneously right now. In the first world, companies use AI conversationally. They ask questions in a browser, run ChatGPT for writing tasks, and use Copilot in Excel to write formulas. Leaders in this world believe they are “doing AI,” but they are doing the 2024 version of AI. In the…
By Sebastian Chedal
A practical guide to getting started with Agentic Coding — what it is, how it differs from AI-assisted coding, the minimum agent network you need, and how documentation makes or breaks the whole approach.
By Sebastian Chedal
You have a dozen AI ideas and a budget for two. The customer service chatbot sounds safe. The predictive maintenance system sounds transformative. Your VP of Engineering wants to start with data infrastructure. Your CEO wants something visible by Q3. This is where most companies stall. Not because they lack AI opportunities, but because they…
By Sebastian Chedal
Your leadership team approved the AI budget. Now someone asks: “Where do we actually start?” and the room goes quiet. The answer depends on where your organization sits today, and most teams get it wrong. A company with enthusiastic leadership but fragmented data will burn six figures on a project that stalls at integration. A…
By Sebastian Chedal
AI change management is the structured approach to leading people, processes, and culture through the adoption of artificial intelligence. It goes beyond traditional change management because AI introduces deeper fears (identity, not just workflow), faster technology cycles, and higher uncertainty about outcomes. Over the last few years, we’ve worked on dozens of AI projects across…
By Carlos Kampff
The Evolving Landscape of SMB Growth Small and midsize businesses (SMBs) face an increasingly complex landscape as they pursue sustainable growth in 2025. These organizations occupy a unique position: they’ve grown enough to need sophisticated operational systems, yet remain agile enough that operational efficiency directly impacts their success. The digitalization wave that emerged in the…
By Sebastian Chedal
The Challenge A Partnership in Digital Transformation When MITCO’s VP of Technology approached us, they faced two interconnected challenges that are common in manufacturing: preserving critical technical knowledge and modernizing legacy systems without disrupting operations. Their situation required: Our Collaborative Approach Instead of pushing for immediate wholesale changes, we worked with MITCO’s team to develop…
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