An AI agent's first email: why it's imperfect and how to fix it
Your AI agent just wrote its first email and you're disappointed with the result. That's normal. This article shows you why first sends are rarely perfect, and how three manual validations are enough to correct course.
- The first sends from an AI agent are rarely perfect: that's normal and expected
- The three mandatory manual validations are the agent's learning mechanism
- A correction accompanied by an explanation helps the agent improve for all subsequent sends
You've created your AI agent, you've given it a clear mission, you've provided your documents. The dry run went well. And then the first real email arrives in your inbox for validation. You read it and you frown: the greeting sounds off, an important detail is missing, the tone doesn't sound like you. This isn't a failure. It's how an agent that's learning normally works.
IWhy the first send from an AI agent contains errors
An AI agent works with what you give it. At the start, something is almost always missing: an example of an email you've already sent, a clarification on how you speak to customers, a document containing key information. The agent does its best with the available elements, but it can't guess what you haven't told it.
Step where you review and approve each send from the agent before it goes out.
Manual validation is the safety net of the first days. The agent prepares the email, you receive it for review, and you decide to send it as is, modify it, or refuse it. At ABYS, the first three sends from each agent must go through this step.
Let's take a concrete example. A plumber creates an agent to follow up on unpaid invoices. The first follow-up email goes out without the invoice number. Why? Because the file provided contained customer names and amounts, but not invoice numbers. The agent didn't invent the omission: it simply worked with the available data.
IIWhat the dry run can reveal, and what it doesn't show
The dry run is a full rehearsal. The agent simulates its work without sending anything, which allows you to verify that it has understood the mission and knows how to use your documents. But the dry run does not consume tokens and does not confront the agent with real situations. A customer who responds unexpectedly, an invoice with a different format, a misspelled name: these cases only appear under real conditions.
This is why the first real sends are often more revealing than the dry run. They show the blind spots in your preparation. A restaurant owner using an agent to send the weekly menu discovers on the first send that the agent doesn't know how to present allergens. The dry run had worked, but the document provided didn't mention this constraint.
IIIHow manual validation of the first three sends works
- 1The agent prepares
The agent drafts the email according to its mission and the data it has available. It sends it to you for validation before any real send.
- 2You review and correct
You read the email, identify what's wrong, and you can modify it directly or add a note to explain what's missing.
- 3You validate or refuse
If the email suits you, you send it. If not, you ask the agent to try again with your instructions. After three successful validations, you can switch to automatic mode.
This system exists for one simple reason: the agent learns from your corrections. When you modify an email or refuse a send by explaining why, the agent incorporates this information. The second email will be better than the first, and the third better than the second. The three validations are not an administrative constraint, they are the learning mechanism.
IVCorrect without blocking: the right way to flag an error
Faced with an imperfect email, two reflexes are possible. The first is to rewrite everything yourself and send without telling the agent anything. The second is to refuse the email by simply writing "no" without explanation. Both are ineffective. In the first case, the agent doesn't know it made a mistake. In the second, it doesn't know what went wrong.
An accounting firm using an agent to follow up on missing documents corrected the first email by adding: "Always specify the deadline for submitting documents". From the second send onward, the agent systematically included this information. The correction had taken ten seconds, but it prevented dozens of future corrections.
VThe most common errors on first send
Most of these errors disappear after the first correction. The agent doesn't need to be told the same thing ten times. One clear instruction is generally enough. The problem rarely comes from the agent itself, but almost always from a lack in what you provided initially.
VIAfter three validations: switch to automatic or continue manually
Once the first three sends are validated, you have a choice. You can continue to validate each email, which takes time but guarantees full control. Or you can switch the agent to automatic validation : it sends without asking for your approval. This decision depends on the nature of the task and your risk tolerance.
An electrician craftsman kept manual validation for two weeks for his follow-up agent, to see how the agent handled different cases. An online store switched to automatic mode on the fourth day for its order confirmations, because the risk of error was low and the volume was high. There is no universal rule: it is your decision.
VIIWhat you can expect after the first few days
Check what applies to you: the list remembers your answers on this device.
A well-configured agent that's been corrected during its first sends quickly becomes autonomous. The learning phase rarely lasts more than a week for a simple task. For more complex missions, allow two to three weeks of regular validations. The time investment upfront is quickly recovered afterward.
?Questions we're asked
My agent made three different errors on the first three emails. Is this normal?
Yes, it's actually a good sign. Each error shows you a gap in your initial preparation. Three different errors mean three corrections that will improve all future sends. Better to discover these problems now than after switching to automatic.
Can I return to manual validation after switching to automatic?
Yes, at any time. If you notice that an agent in automatic mode is making errors, you can switch back to manual validation, correct what's wrong, then switch back to automatic when you're satisfied.
The dry run was perfect, why is the first real email different?
The dry run uses test data in an ideal context. The first real email confronts the agent with real data, sometimes incomplete or in an unexpected format. It's this confrontation with reality that reveals the necessary adjustments.
How long does it take to correct an email before validation?
For a simple email, a few seconds to a minute is enough. The key is to add an explanation to your correction so the agent learns. Reviewing without correcting takes less than thirty seconds.
What happens if I refuse an email without giving an explanation?
The agent will try again, but without knowing what was wrong. It risks repeating the same error. Take ten seconds to write what was missing or poorly worded: the agent will take it into account immediately.
Discover other guides to master your AI agent in the ABYS Academy library.
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