weekly-risk.md9 KB
AI that's actually private
June brings dictation, meeting notes, and a local agent into one workspace. Your data stays on your Mac, and AI requests route through a backend you can verify.
Compare my W-2, paystub, and mortgage docs
Draft a note to my doctor about these lab results
Find the renewal terms in this customer contract
Summarize action items from the board recording
Rewrite this performance review before I share it
Pull invoice totals from my bank statement
Check my calendar and draft a reply to Alex
Extract vendor renewal dates from these PDFs
Help prep questions for tomorrow's health appointment
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PrivateGLM 5.2
Stop uploading your life to AI companies
Every prompt, file, and workflow reveals sensitive data about you. Most AI apps ask you to trust them with all of it.
AI for everyday life and work
June lets you use AI without compromising on privacy
Chat
Chat with AI
Ask questions, do research, brainstorm ideas, build a plan, while keeping it all private.
Pull last month's receipts out of my Downloads and total them up for me.
On it — going through your Downloads folder. It all stays on your Mac.
Read 14 files from Downloads
Found 14 receipts from May totaling $2,847.10. Here's the breakdown:
- Groceries — $612.40
- Dining & takeout — $488.20
- Subscriptions — $214.97
- Transport — $176.50
- Shopping — $1,355.03
Want me to export this, or dig into any category?
Export it, and flag any subscription I might've forgotten about.
Wrote May-expenses.csv to Documents
Thinking…
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PrivateGLM 5.1
Voice
Speak instead of type
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ToMMaya Chen
SubjectRe: Friday review
Hi Maya,
Thanks for sending the revised timeline. I went through the milestones this morning, and Friday at 2pm still works well for me.
I’m aligned with using the review to settle scope, risks, and the handoff plan before the prototype review next week.
Sam
Meetings
Effortlessly capture meetings
June can detect supported meetings and offer to write the notes for you, without a bot ever joining the call.
Tue, Jun 9·Product
Q3 Roadmap review
The team aligned on shipping the agent beta to design partners next week, and holding pricing until the security review lands.
Decisions
- Beta to design partners on Thursday
- Hold pricing until the security review lands
Action items
- Book the security review
- Send the design-partner list
- Move launch checklist into the roadmap folder
Risks
- Security review may slip by one day
- Waitlist copy still needs legal approval
Context
- Design partners want earlier access to the import flow
- Support team needs a concise beta FAQ before invitations go out
16:18
Agent
Let June do the work
Schedule tasks, create reports, and prepare research. June simplifies your workflows without training someone else's model.
Renewal-risk report5Private mode
Every Monday, make me a renewal-risk report from Finance, Support, and the product analytics export.
Read renewals.csv, tickets-export.csv, and account-usage.csv
Joined 214 account rows by billing domain
I found 18 upcoming renewals, scored them against ticket volume and product usage, then drafted the weekly report with account-level next steps.
Highest risk this week
Northstar Labs - $52K ARRMeadow Health - $41K ARR
Good. Save it and run it every Monday morning.
Created Reports/Renewals/weekly-risk.md
Added Monday 8:00 AM local schedule
Checking the next scheduled run…Send a message
GLM 5.1
weekly-risk.md
Weekly renewal-risk report
Generated every Monday at 8:00 AM
18
Renewals · next 45 days
$146K
ARR at risk
4 accounts moved into elevated risk this week
Highest risk
Northstar Labs$52K
Usage down 38% · 6 open tickets
Meadow Health$41K
Champion left · renews in 21 days
Vale Studio$29K
Import failures · 3 seats
Recommended follow-up
- Schedule the Northstar recovery call
- Send Meadow the Q3 admin controls preview
- Attach Vale import logs to eng triage
How June keeps it all private
Architecture built to be private by default.
Local by default
June's agent runs locally on your desktop, built on the open-source Hermes framework. Files, sessions, memory, and state stay local by default.
Using private models
June defaults to private Venice models with zero data retention: nothing stored, no training. Anonymized third-party models are opt-in.
Minimal data retention
June stores only what it takes to run the service: account, login, and billing records. Your prompts, transcripts, and memory are not on that list.
Open-source and verifiable
June's code is open source and the backend runs in a TEE, so you can verify what runs on our servers and confirm we don't store your content or train on it.
AI with your privacy in mind
Claims most AI apps can't make, and an architecture that lets you check them.
Typical AI agentsAgent runs on your device
Stores only account, login, and billing records
We never train on your data
Files, memory, and agent state stay on your disk
Routes to zero-retention models by default
Third-party model routing strips identifying metadata
Backend runs in a TEE with cryptographic attestation
Open-source codebase you can verify