8 articles
For months I've been writing about client context like its meaning is obvious. It isn't. This is the article where we stop talking about context engineering in the abstract and actually build one — a single document that makes every agent you run for a client better, and that lets you take the same agent to every other client just by swapping files.
Google Cloud says multi-agent orchestration is the architecture of 2026. Basis — now valued at over a billion dollars — is already running it for Top 25 accounting firms. The question isn't whether this model works. It's whether your practice will build it with your own specifications or let a vendor do it for you.
A software engineer tried three times to build an AI dashboard before realizing the answer was markdown files and structured knowledge. The same lesson applies to your CAS practice — the competitive moat isn't software, it's encoded practice knowledge that compounds.
AI said it couldn't replace QuickBooks. Then I proved it wrong — in under an hour. Three scenarios, from a shoebox of receipts to a working ledger system, where AI already does the job. No software subscription required.
A viral video pitched "clarity as a service" as a brand-new business model. CAS practices have been sitting on this opportunity for years — you already have the data, the trust, and the relationship. Two AI tools make advisory deliverables practical right now.
Google Cloud launched an AI agent framework that mirrors the exact playbook forward-thinking CAS firms are already building — context engineering, multi-agent orchestration, and human-in-the-loop oversight. The enterprise validation is here.
Moltbot became the fastest-growing open-source project in GitHub history — 160,000 people giving an AI agent autonomous access to their digital lives. The demand for AI employees is real. The question is whether your practice is ready to build them.
AI output quality crossed the threshold — models now match 14-year subject-matter experts 70% of the time. The bottleneck shifted from prompt engineering to context engineering, and most firms haven't noticed.
