Scott HazlittAI Fluency

AI workflow consultant

AI workflow consulting for work you actually repeat.

The useful question is not whether AI is impressive. It is where AI belongs in a real workflow, what should stay human, and how you check the output.

Outcomes

What changes after focused help.

Map the current workflow in plain language.

Choose the best AI entry point and tool for that workflow.

Write prompts, review steps, and boundaries for safe use.

Create a reusable workflow note or checklist.

How we can use the time

Start with one real task.

Before, during, after

Break the task into stages so AI helps at the right moment instead of taking over the whole process.

Prompt and review loop

Build a prompt sequence and a quality checklist that catches weak output before it leaves your desk.

Workflow tune-up

Use a focused session to repair one process and document how to repeat it.

Proof

The AI Fluency Sprint is built around workflow reps.

The five-session program uses real tasks, prompt libraries, safety habits, homework, and a personal playbook to turn practice into a durable workflow.

View proof of work

Questions

Before you reach out.

Is this automation?

Sometimes, but the starting point is usually human-in-the-loop workflow design, not full automation.

Can this cover coding agents?

Yes. Coding-agent workflows can be included when the task involves building, debugging, or reviewing code.

What do I bring?

Bring one real recurring task, a safe example, and what currently feels slow, risky, or unclear.

Want help applying this to your own work?

Send a short note about your current tool, your comfort level, and one task you want to make easier. I will reply with a practical next step.

Request a free AI fit check