Your AI Coding Agent Works. It Just Doesn’t Work Like Your Team.
Most agentic AI pilots on Databricks stall on context, not capability. Here’s the fix, and the two accelerators Calfus uses. Agentic AI is changing how data engineering gets done Until recently, AI help with code meant autocomplete. A model suggested the next line, you accepted or rejected it. Agentic AI works differently. You give an […]
What Happens When You Give an AI Agent the Keys to Your Entire Data Delivery Lifecycle?
Every few months, Databricks ships another headline feature for Genie Code. At the Data + AI Summit 2026 it was a full-page command center for multi-threaded ML work, an ontology that learns how your team builds features, and autonomous overnight runs that check pipelines and summarize results while everyone sleeps. But the number that stuck with us came from the original […]
Agent Canvas: Build an AI Agent the Way You’d Sketch One on a Whiteboard
Most “build your own AI agent” tools give you two options: a chat box that produces something you can’t see or steer, or a developer SDK that needs an engineer to touch it. Agent Canvas is a third option. You build the agent by connecting steps on a screen, watch it run, and fix it in place. What […]
AI Agent Studio Capabilities: Three Fixes for Stalled Pilots
The new AI Agent Studio capabilities from Oracle target a familiar problem: most agent pilots don’t fail outright; they just stop growing. Your first agent works well inside one team. But it can’t pull in data owned by other departments, it forgets everything from one conversation to the next. And when budget season arrives, no […]
Why AI Agents Quit Halfway, and What It Costs You
Picture this. It’s 11 PM. A critical batch process has been running since end of day, reconciling invoices, updating vendor records, flagging exceptions for review. Your team set it up, handed it off to an AI agent, and went home. By morning, it’s done. Mostly. 47 of 50 steps completed. The last three? Gone. No […]
Oracle Fusion AI Agent Studio 26C: New Features, Missing Caps
Oracle Fusion AI Agent Studio 26C brings two changes at once. Studio picked up a substantial set of new capabilities: multiagent orchestration, long-term memory, a CLI, a debugger, deterministic policy logic. And the AI Unit consumption visibility we flagged as coming in Part 2 has actually arrived. The features change what you can build. The […]
The Odyssey Model: Rethinking What an Internship Owes Its Interns
How Calfus turned onboarding into a finishing school, and why the difference matters Most internship programs end the same way. A cohort arrives, sits through a few weeks of shadowing and slide decks, ships a small project that everyone quietly agrees not to depend on, and leaves. What they take with them is a fond […]
EBS to Fusion: Closing the Gap Before It Widens
If you want to see the maxim “if it isn’t broke, don’t fix it” play out in real-time, look no further than an enterprise running an on-premises Oracle E-Business Suite (EBS) deployment. With Oracle extending Premier Support for EBS 12.2 through at least 2037, backed by a rolling 10-year commitment, leadership teams feel a false […]
Oracle Fusion AI Agent Licensing: Production Decisions That Matter
Getting Oracle Fusion AI Agent licensing right in production is more urgent than most teams realize. The questions we’re hearing most from clients: Has the Agentic Applications platform fee already been triggered? Are our seeded agents actually free to run? And what do we do about governance while Oracle builds native controls? This post works […]
Oracle Fusion AI Pricing: How the New Model Actually Works
There’s a lot of noise in the market right now about Oracle Fusion AI pricing — when billing starts, what triggers costs, and whether running agents in test environments is “safe.” The questions we’re hearing most from clients: Is my 26B production deployment already being metered? What exactly costs money and what doesn’t? This is […]