Build the voice and knowledge map.
We organize approved examples, decisions, vocabulary, services, boundaries and proof into a working context layer.
Artificial Me / Limited beta
Your voice. Your rules. More places.
Artificial Me is Ten Thirty Two’s customer-facing name for a governed digital human: a useful operating layer built from your real language, knowledge, examples, standards and approval rules.
Plain-language boundary: Artificial Me is not an autonomous clone, impersonation service or substitute decision-maker. Each pilot has a defined job, approved sources and a human authority responsible for review.
SourceYour approved material
VoiceYour language and standards
ControlYour review boundaries
OutputUseful work you can inspect
A useful digital human, not a novelty
Give what you know more ways to help.
The first job is not “be me.” The first job is specific: help turn approved knowledge into a clearer page, campaign, answer, request path or next draft.
Turn rough intent into reviewable work.
Artificial Me can help prepare pages, campaigns, media plans, customer answers and structured requests within the job you approve.
Approve before the important action.
Publishing, customer promises, account changes and consequential decisions stay behind the human checkpoints agreed for the pilot.
The operating loop
Context in. Draft out. Human decides.
Every pilot is built around traceable sources and a small set of repeatable moves. The loop gets better through review, not through pretending uncertainty does not exist.
- 1
Collect
Choose the material, examples and existing work Artificial Me is allowed to use.
- 2
Shape
Define voice rules, responsibilities, data boundaries and what a good result looks like.
- 3
Work
Use the system for one approved workflow before asking it to do more.
- 4
Review
Inspect results, correct context and decide what may move to the next stage.
Governance is part of the product
Useful because the boundaries are clear.
Security depends on the exact pilot architecture and customer environment. We document the planned data path, access model, recovery responsibility and human approvals before production use.
No hidden impersonation.
Customer-facing experiences should disclose AI involvement whenever the context makes that material, and should never falsely claim a human personally performed an action.
Approved sources only.
We separate public material, private working context, credentials and publish permissions instead of treating them as one undifferentiated pile.
Human checkpoints remain.
The owner defines what can be drafted, what can be queued and what requires direct approval before it reaches another person or platform.
Limited beta path
Start with one job worth doing well.
Conversations are always free. Because Artificial Me is in limited beta, Ten Thirty Two confirms fit, scope, responsibilities and price in writing before paid pilot work begins.
Find the first useful job.
FREE
- Business and workflow conversation
- Candidate use-case review
- Initial risks and boundaries
Build one governed workflow.
Scoped before work begins
- Approved context and voice map
- One defined workflow
- Review and permission boundaries
- Test, feedback and handoff record
Choose shared or dedicated AI.
From $249 / month
- Managed shared processing queue
- Dedicated computer options
- Environment matched to workload
Beta participation does not guarantee that every proposed use case is safe, feasible or accepted. No reach, revenue or performance result is guaranteed.
Start with the human part
What do you know that should be more useful?
Bring the rough idea. We will help identify the first job, the source material it needs, and the decisions that should stay yours.
Conversations are always free
Tell Michael what Artificial Me should help with first.