S
Spenser
Founder, Obelisk

Hiring Your First Scribe

The mental model that works best for Scribes is not "setting up software." It is closer to onboarding a new hire. A Scribe is a capable worker that does not yet know your business. The way you get a good outcome is the same way you would with a smart person on their first day: clear context, a specific task, and room to ask questions.

Start With One Job

When you hire someone, you do not hand them your entire operation on day one. You give them one thing to own. "Handle the incoming support tickets and flag anything that needs escalation." "Go through last month's invoices and reconcile them against our purchase orders." "Research these ten companies and put together a brief on each."

Same with a Scribe. Pick the task that is eating the most time right now, the one that someone on your team keeps putting off because it is tedious but important. That is your starting point. Not a grand automation strategy. One job.

Deloitte's research on AI adoption found that organizations starting with narrowly scoped pilots are 2.5 times more likely to achieve production-ready deployments than those attempting broad AI transformations. Focus beats ambition.

Context Is Everything

A Scribe does not know your business yet. Just like a new hire does not know your business yet. The difference between a useful output and a useless one usually comes down to the context you provide up front.

Bad instruction: "Handle our social media."

Better instruction: "Go through our Twitter mentions from the past week. For anything that looks like a customer complaint, draft a response that acknowledges the issue and asks them to DM us. For anything that looks like a feature request, log it in this spreadsheet with the date and a link to the tweet."

The second version works because it tells the Scribe what "handle" actually means in your context. It defines what to look for, what to do with each type, and where to put the results. You are not writing code. You are giving instructions the way you would to a capable person who just does not know your specific situation yet.

Review, Then Trust

The first few times a Scribe completes a task, review the output carefully. Not because it is probably wrong, but because this is how you calibrate. Maybe it is categorizing things differently than your team would. Maybe it is being too conservative about what counts as an escalation. Maybe the responses it drafts are a little too formal for your brand voice.

This is normal and expected. It is exactly what happens with a new hire. You review, you give feedback, you adjust the instructions, and the next round is better. The nice thing is that a Scribe does not get frustrated by feedback and does not forget corrections.

Every action a Scribe takes is logged, so the review process is straightforward. You can see exactly what it did, in what order, and trace any output back to the reasoning that produced it. If something is off, you know exactly where to adjust.

Then Expand

Once the first task is running smoothly, the output is reliable, the edge cases are handled, and you are not reviewing every single item anymore, that is when you add the next job. Maybe the Scribe that handles support tickets also starts compiling a weekly summary of common issues. Maybe the one doing competitive research also starts monitoring pricing changes.

The pattern is the same as growing any team member's responsibilities: prove competence in one area, then expand scope incrementally. The teams that get the most out of Scribes are the ones that build trust through demonstrated results rather than trying to automate everything at once.

If you are thinking about where to start, the answer is almost always the task your team complains about most. We are happy to help you scope it.

References

Deloitte (2023)
"State of AI in the Enterprise"
Survey of enterprise AI adoption finding that narrowly scoped pilots significantly outperform broad transformation initiatives in achieving production deployment.