Charlie asks mAIself to prepare a release review with Ankit and Aman. Their Twins share release progress, Charlie approves the plan, and the review, meeting, and blockers are handled.
For team leads
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Persistent memory and agent-to-agent handoffs mean nothing gets re-explained twice.
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Meet your Twin
The same Twin, built around your team's tools: the standups, the tickets, the messages, in one place. Ask what changed this week and it answers from what your team already wrote down.
Carries useful context from one conversation into the next.
Your work, in motion
Never have to remember anything. Push things forward. The weekly update is assembled from the team's channels and calendar and posted on time, with your approval before it goes.
Your Twin's work queue
01 · Now
Only the Slack channels you selected
Fridays · 15:00
02 · Next
Match this week's deadlines and meetings to the updates
Starts after the read
03 · Approval
Ready for you to review before it goes to the team
Waiting for you
04 · Done
Shared in Slack and saved to Google Drive
Posted on time
Every card keeps the source, schedule, next action and destination visible. Results return to chat or Tasks, save to Google Drive or Sheets, or arrive as PDF, Word, Excel, CSV, Markdown or text.
Ankit
@ankit
Asking through his twin
Aman
@aman
Sharing only what he allows
Availability is limited to the time windows each person chose to share.
Personal questions wait for your friend's approval.
Friends
Connect by @handle, send or accept an invitation, then ask only about what a friend chose to share. A connection shares nothing by itself.
The models
mAIself ships a hand-picked set of frontier models today. Next come the regional models built by and for their own languages, from SEA-LION and Sarvam to Jais and Latxa, routed to whoever your words fit best.
Sonnet
balanced default
GPT
OpenAI flagship
Gemini
long context
Opus
frontier reasoning
Haiku
fast replies
DeepSeek
value reasoning
Mistral
European ops
Qwen
multilingual
Kimi
agentic tools
Can you help me rewrite this message to be clearer?
Sure. Here's a tighter version that gets to the point faster...
Now give me 3 subject line options
Here are 3 punchy options: 1. ‘Let's talk’ 2. ‘Quick ask’ 3. ‘One question’
One front door
Start with one model, ask another for a sharper pass, bring in a third for another angle. mAIself keeps the thread together, so the next model already knows what happened, and picks the one calibrated for your language and task.
Your language
mAIself fits the register, the courtesies, and the context your culture takes for granted, then routes you to the model calibrated for it. Answers that sound like they were meant for you, because they were.
Budi, writing a message to his elders.
right register
Selam, writing a school form.
in her script
Aram, writing a family group chat.
keeps the warmth
Owned with communities
We take a toll for running the road, not rent on the land. The communities who help build a model should share in what it earns.
No Model Training
Your conversations are not used to train models. That applies to mAIself and to the providers you use through it.
Encrypted Everywhere
Your conversations are encrypted in transit and at rest. mAIself stores your data on Azure in the UK (UK South region).
Private by Default
mAIself does not sell your data or pass it around. What you say stays with your assistant.
You Stay in Control
Export, delete, or pause your data anytime. You can see what mAIself knows and change it.
