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Jarad Johnson

CEO & Co-founder, Mostly Serious

Jarad leads strategy across the Mostly Serious family of teams with a focus on making complex digital decisions feel approachable.

He spends a lot of time thinking about how AI, content, and long-term partnerships show up in the real work clients depend on.

31 articles

September 14, 2026

The Agent Door Test

As we think about handing more work off to AI agents, we need a framework for understanding both the type of work we're delegating and the consequences when an agent gets something wrong.

The one-way versus two-way door distinction gives us a useful mental model for what kind of work agents can do. It helps us determine the level of autonomy they should have.

May 25, 2026

When AI Fixes the Summary but Leaves the System Wrong

Mostly Serious tested AI-assisted workflows in Vei, our internal test environment for realistic business systems. In 32 of 36 completed runs, at least one field we checked was still wrong after better information arrived.

The issue was not always that the AI misunderstood the situation. Often, the AI made the summary better while failing to update the fields another person would rely on later.

April 24, 2026

Your Website Should Keep Working as Your Business Changes

A website can keep loading, submitting forms, and technically doing its job while quietly introducing people to an outdated version of the business behind it.

Our long-term relationship with OMB shows what happens when a website foundation and the team behind it keep adapting as the business grows into new divisions, new audiences, and new offerings.

April 14, 2026

Stop Overthinking Agents

The AI industry wraps simple concepts in complex language. Agents, agentic workflows, and multi-agent orchestration can sound like they require a computer science degree. They don't.

A practical look at how folder-based AI systems handle real organizational work, from marketing content to client onboarding, and why the barrier to entry is lower than the jargon suggests.

February 24, 2026

Write for People, Not Algorithms

AI made it easy to produce content at scale. It also made it easy to produce content nobody wants to read. The companies winning in search and AI-driven discovery are the ones publishing content with real perspective, not the ones generating hundreds of keyword-stuffed articles a month.

February 17, 2026

Your AI training worked. Now what?

Most AI training ends with excited teams and productivity gains. But a few weeks in, people are spending their AI time re-explaining context. Skills are portable, shareable instructions that teach AI how to handle specific work. They change that pattern and help training compound across an organization.