Blog

Title Icon

Plan in the Cloud, Build Local: The Token Economics of AI Agentic Workflows

The teams running the most cost-effective AI agentic workflows today are not the ones with the biggest compute budgets — they are the ones who are deliberate about which model does which job. Expensive frontier reasoning for planning, cheap deterministic execution for building: that split is the lever that separates a lean agentic operation from one that burns budget on autopilot.

This is not an abstract optimization. It is the difference between a workflow that compounds value over time and one that runs hot, costs a fortune, and gets shut down before it ships anything.

Title Icon

The Seven Shapes of Rework in Agentic Salesforce Work

Rework rarely announces itself. It shows up disguised as productivity — a revert here, a "fix:" follow-up there, a branch quietly closed and re-cut on a new base. Each looks like a small course correction. In aggregate, they are the single largest tax on a delivery stream, and in an agentic one — where an AI author ships fast and there is no default human reviewer standing between the model and the merge button — they compound faster than anyone expects.

Title Icon

The Stale-Baseline Trap: Why AI-Authored Salesforce Delivery Keeps Building on a Fake Org

We recently audited an entire Salesforce delivery stream — 149 merge requests across a single client engagement, start to finish — and asked one question the usual retrospective never asks. Not what shipped, but where a later change had to revert, re-cut, or re-baseline what an earlier one got wrong. About a quarter of the merge requests were rework. And when we grouped that rework by root cause, one pattern sat underneath almost all of it, surfacing in cluster after unrelated cluster.

Title Icon

More Experts, Not Fewer: Why Agentic Scale Demands More Judgment

The standard worry about agentic AI goes like this: agents do the work, experts become redundant, headcount falls. It is a clean story. It is also wrong — and the operators who act on it will find out the hard way.

Title Icon

Can't I Just Do This Myself Now? — The Honest Answer for AI-Curious Leaders

It is the question we hear most often, and usually it arrives near the end of a good conversation. A CEO has watched a demo, run a few experiments over the weekend, and seen something genuinely click. Then they lean back and ask the honest version of what every smart buyer is thinking:

"This is impressive. But honestly — can't I just do this myself now? I have the tools. The AI does the work. What do I actually need you for?"

Title Icon

Generative AI Consulting: What to Expect

Generative AI consulting helps a company move from scattered AI experiments to systems that run in production. A real engagement follows three phases — assess, pilot, scale — and ends with working software your team owns, not a strategy deck. Expect deliverables that ship, measurable outcomes, and a partner accountable for value, not billable hours.

Title Icon

What Is a Forward Deployed Engineer? (And When Do You Need One?)

A forward deployed engineer (FDE) is a senior engineer who embeds directly inside your team, learns how your business actually works, and ships the first working solution in your real environment — not a slide deck or a proof-of-concept that dies in a demo. The model pairs product-grade engineering with on-the-ground context, so what gets built solves the problem you actually have.

Title Icon

Production Guardrails for AI Tooling — The SF CLI Example

In July 2025, an AI coding agent deleted a live production database during what was supposed to be a frozen, read-only session. The agent had been told — repeatedly, in all caps — to make no further changes.

Title Icon

Disaster Recovery Is a System, Not a Backup: Systemizing Continuity for Growing Businesses

What would actually happen to your business if your systems went dark tomorrow morning — a ransomware lockout, a flooded server closet, a fiber cut that takes your office offline for three days? Not the version you hope for. The real one, where staff can't log in, customers can't book, and the only person who knew where the backups lived is on vacation.

Title Icon

Faster, Safer Security Approvals — How Agentic Governance Unblocks IT

Ask any engineering leader where velocity actually dies, and the honest answer is rarely "writing the code." It dies in the queue. The change-advisory board that meets twice a week. The vendor security review that sits for three weeks behind nineteen other vendor security reviews. The access request that needs four approvers across two time zones. The audit-evidence gather that pulls a senior engineer off delivery work to screenshot configurations no one will look at until the next SOC 2 window.

Pages