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Introducing Junior
The first AI employee, for any role.
A true AI employee:
→ their own identity
→ organizational memory
→ self-driven
10+ teams have been working with Junior every day.
Work was never the same since.
Starting at $2,000/month.
We’ve pre-paid $200 of your Junior’s salary.
Try Junior and experience the future of work today.
Gmail threads. Notion notes. Investor history. Market questions. Open loops.
A digital asset investment firm used to rebuild all of this context by hand before every investor update, research brief, and next step.
Now Junior works as their second operator ——
turning scattered context into ready-to-send follow-ups, prioritized action plans, and briefs the team can actually make decisions from.
Small team. Bigger operating capacity.
junior.so/use-cases/digital-…
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For RIAs, CRM cleanup is not busywork. It is the audit trail.
A wealth management firm uses Junior for every client call and meeting:
Transcribe, redact sensitive details, match the right household in Salesforce, write the summary, and create follow-up items.
Six systems (Salesforce, RingCentral, Acuity, SharePoint, Outlook, Slack), one operator, no manual gap between conversation and the next action
Advisors stay with clients. CRM stays current.
See the story: junior.so/use-cases/ai-for-w…
In relationship-driven business, your next best client is often an old one.
Someone just needs the time to go find them.
2 weeks, 10 years of emails read, 60 relationships re-opened, a $200K deal closed.
That's the job Junior did.
The full story: junior.so/use-cases/ai-for-c…
A practical guide for setting up your first AI employee.
Start with one role.
Limit the information it can access.
Define the output.
Keep a human reviewer in the loop.
Run a 7-day pilot before expanding.
That is exactly how teams should start with Junior.
note.com/kawaidesign/n/n04a8…
Junior retweeted
We were burning $1M on tokens a month, sometimes even higher.
Now we fixed it with open weight models.
The best way to think about Junior is not “AI that answers questions.”
It is an AI employee that joins the team with a role, memory, permissions, and human oversight.
This article from our ambassador captures the important part: deployment is org design, not just software setup.
note.com/kawaidesign/n/n1c85…
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Junior retweeted
Glad to be featured in Japan Today.
I always love to talk with customers from Japan.
japantoday.com/category/tech…
AI employees are not here to replace the team.
They are here to join it.
Thank you Japan Today for covering how Junior is becoming part of this shift in Japan.
japantoday.com/category/tech…
If your company already has Slack, CRM, docs, and meeting notes, why do tasks still get dropped?
The answer is not another dashboard.
It is that nobody owns the connective tissue between tools.
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Most teams do not lose deals because nobody cared.
They lose them because context lived in 6 tools and 4 heads.
Junior is built for the boring but costly part, that's how we made a $200K deal for our customer.
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Introducing an AI employee for advisors at RIAs.
Every client call should end as a clean Salesforce record. It almost never does. Junior listens to each call, writes the note, and routes the follow-ups. Same day, every time.
→ Contact for a free setup: junior.so
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The next big AI UI may not be a canvas, chat, or spreadsheet.
It may be the team itself.
An AI coworker that lives where decisions happen, remembers context, and follows through without everyone changing tools.
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Junior retweeted
AI isn't like the internet. It's like electricity.
And that's bad news for most companies.
When electricity arrived, factories swapped the steam engine for a motor, kept the same layout, and got almost nothing.
The payoff only came when they redesigned the whole floor around it.
Most AI programs today are the steam factory with a new motor.
The trillions won't show up until someone redesigns the org around AI.
Hot take: most teams do not need a smarter chatbot.
They need a coworker that remembers promises, checks evidence, follows up safely, and knows when to hand the work back to a human.
That is a very different product.
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Junior retweeted
Get your own model with Arkor 🙌
Junior retweeted
the actual solution to save token is to build and maintain a shared context layer.
Everyone’s agents don’t need to waste tokens just to discover the same facts.
Our next task probably does not need more willpower.
It needs a starting point.
Kuse can help with that.
Browse use cases ↓
kuse.ai/use-cases









