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The Coverage Problem: Why LLMs Can't Do Matrix Math

Submitted by jordan on Wed, 11/04/2026 - 16:00

LLM limitations are not about intelligence — they are about guarantees. A large language model can produce a plausible answer for almost any single input you hand it. What it cannot do is guarantee correctness across the full combinatorial space of inputs and conditions that a real production system must handle. That gap — between "works on the inputs I tested" and "works on every input that will ever arrive" — is the coverage problem.

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The SMB Agentic Buyer Wants Done-For-You AI, Not Enablement

Submitted by jordan on Sun, 10/18/2026 - 17:00

Small businesses buying AI in 2026 want done-for-you AI that runs on their behalf — not training, platforms, or toolkits that require internal expertise they don't have and weren't hired to build.

This distinction matters more than most AI vendors want to admit. The market is splitting cleanly into two buyer types: enterprises that want to build internal AI capability, and small-to-midsize businesses that want the outcomes AI delivers without becoming AI practitioners themselves. Most of the vendor ecosystem is selling to the first group while standing in front of the second.

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The Operating Model Shift — From Agency to Agentic Engineering

Submitted by jordan on Wed, 08/12/2026 - 17:00

Every services firm runs on the same hidden equation, whether or not anyone has written it down: revenue is a function of headcount. To grow, you hire. To take on more work, you staff up. To protect margin, you push utilization. The whole apparatus of an agency, a consultancy, or a professional-services firm is a machine for converting human time into invoices, and the better you run it, the more cleanly that conversion happens.

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You Can't Pitch an Agentic OS From a Slide Deck

Submitted by jordan on Mon, 08/10/2026 - 17:00

The most convincing AI proof of concept you can run isn't a presentation — it's a working Agent Loop, running live against one of your buyer's real projects, with live monitoring, built in two to three weeks. Everything else is theater.

If you're selling an agentic operating system and your pitch still leads with slides, you're already losing to the company that just showed up with a working prototype.

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What Is an Agentic Operating System?

Submitted by jordan on Tue, 07/14/2026 - 17:00

An agentic operating system (agentic OS, or AOS) is the operating model a business runs on when AI agents—not just people or scripts—do the work: a coordinated layer of agents, shared context, guardrails, evaluations, and orchestration that turns one-off AI experiments into a system that ships real business outcomes on repeat.

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Facet's 2024 Strategy & 10 Year Anniversary

Submitted by jordan on Mon, 01/01/2024 - 09:00

2023 was a hard year for Facet. We felt the crunch of many of our current and prospective partners get squeezed by real economic factors — internal restructuring, and downsizing. We’ve seen projects that were eagerly awaited in 2022 get wiped off the map in 2023, and some departments completely removed (for the time being).

These economic realities are the harness which innovation must ride — and as strategic partners to digital endeavors, Facet ambled along, sometimes blind to the next challenge around the corner.