Explainer
Your email and Slack after the license: the path to a trained AI agent
Licensed mail and chat are not posted online, and they are not poured unfiltered into a chatbot. They are scrubbed of personal details, converted into practice exercises and used to train AI agents, which attempt those exercises inside a simulated office and receive a score.
Buyers rarely document every stage, but the accounts from micro1, Mercor, Surge AI and the Spirit Airlines court record line up closely.
In this article
01
Six stages from mailbox to agent
- 1
Copy
The buyer receives a copy, either through a direct connection (Mercor links to more than 100 apps) or an export your staff put together, such as micro1's data manifest.
- 2
Scrub
Names, addresses, phone numbers and account details are deleted or replaced with codes. For the Spirit sale, Tonic.ai handles de-identification and certifies its work to the court.
- 3
Paraphrase, in some cases
micro1 says it rewrites certain datasets synthetically, so the text no longer lines up one-to-one with your originals.
- 4
Build exercises
A complaint thread turns into an exercise: given this complaint, fix it. Surge AI judges an archive by how many usable exercises it yields.
- 5
Train and score
The exercises run inside a training environment that imitates real software. The agent tries each one and earns a reward when it gets it right.
- 6
Evaluate
Agents are tested as well as trained. micro1 has a separate testing product called Cortex.
02
Why chat and email specifically
These are the places where a team's decisions get written down. One Slack channel records the question, the reply, the failure and the fix, which is the chain of reasoning an agent has to pick up.
They are also near-universal. Of the shutting-down startups SimpleClosure examined, 95% used Slack. Mercor's ads report Slack at 55% of its partner companies and Gmail at 50%.
03
What the model keeps
Your licensed copy can be wiped; micro1's terms promise deletion within 120 days after final delivery. Those terms also state that models trained on the data stay as they are. The learning does not get erased.
04
Where to focus your questions
Imagine the support channel of an IT services firm with 50 staff. The lab does not care which customer rang. It cares about the sequence: a printer stopped working, the technician gathered details, attempted a couple of fixes, then marked the ticket resolved. So put your energy into the scrubbing stage, not the training:
- Who strips personal details, and using which tool?
- Will we review scrubbed samples before release?
- Is there an independent sign-off, like the certificate filed in the Spirit case?
- Does the contract prohibit re-identifying anyone in the data?
FAQ
Questions, answered
Does someone at the buyer read our messages?
It depends on the buyer. Mercor says processing is automated, Polyshares hires an outside scrubbing firm, and micro1 says the owner reviews before anything is released.
What is an RL environment?
Short for reinforcement learning environment: a simulated copy of some software in which an AI agent attempts a task and is rewarded for success.
Could a model quote our mail verbatim?
It is possible. Researchers have recovered exact training passages from a model, contact details included.
Is our copy destroyed after training?
Your copy, yes: micro1 commits to deletion inside 120 days once delivery ends. Any model it has already trained stays.
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Sources
Every number on this page links back to one of these.
- 1TechCrunch: Silicon Valley bets big on environments to train AI agents (2025)techcrunch.com
- 2Mercor: Data pagemercor.com
- 3micro1: Data payout estimatormicro1.ai
- 4Chapter 11 Cases: Spirit Airlines de-identified data sale auction resultschapter11cases.com
- 5micro1: Data partnerships pagemicro1.ai
- 6micro1: Data License Master Terms (7 Oct 2026)micro1.ai
- 7MIT Technology Review: AI labs buying data from dead startups (13 Oct 2026)technologyreview.com
- 8Carlini et al.: Extracting training data from large language models (arXiv)arxiv.org
- 9Nature Communications: Estimating re-identification risk (2019)nature.com
- 10Polyshares websitepolyshares.com
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