Stop Living Inside Your Apps.
Start Orchestrating Intelligence.
Too many apps. Too many tabs. AI tools that hallucinate when you can least afford it. We built SAM to fix all of it — for ourselves first, now for you. One trusted assistant that runs on your hardware, follows your rules, and never invents an answer it can't verify.
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Your Day, Summarized Before Your First Sip of Coffee
Every morning, SAM reviews your calendar, scans overnight emails, checks project deadlines, and delivers a single Telegram message with everything you need to know. No opening six apps. No inbox anxiety. Just clarity.
"Good morning. You have 3 meetings today, 2 urgent emails from clients, and the Q1 report draft is ready for your review."
👆 Click to see full message
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Check Your Numbers in the Middle of Your Day
At midday, SAM pulls your latest financial metrics, revenue numbers, and key performance indicators. See where you stand before the afternoon push, and adjust your strategy if needed.
"Revenue on pace: $12,450 YTD. 3 invoices pending approval. Cash flow: strong."
Go to Bed Knowing Everything's Handled
Before you rest, SAM delivers your end-of-day summary: tasks completed, tomorrow's priorities, any urgent items that need overnight attention. Sleep well knowing nothing slipped through the cracks.
"6 tasks completed today. 2 items flagged for tomorrow. New email from your biggest client — reviewed and responded."
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The SAM Ecosystem
Every app below is an integration SAM manages for your team.
Hover over any app to see what SAM does with it
SAM integrates with any system that has an API. The integrations shown above are ones we've deployed and proven in production. Need something not listed? We build custom integrations as a custom project — your tools, your workflows, your SAM.
Why the "Multiple AI Agents" Approach Doesn't Work
The AI industry got it wrong. Here's why SAM's single-agent architecture is the only approach that works with human psychology.
of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls.
Source: Gartner (2026)
The Multi-Agent Trap
- Management overhead: You become the manager. Which agent? When? For what?
- Personality fragmentation: Every agent explains things differently. Who do you trust?
- Context switching: Constantly jumping between different AI personalities drains mental energy.
- Coordination chaos: Hand-offs between agents create exponential failure points.
How SAM Solves It
- One trusted assistant: You work with SAM the way you'd work with a human deputy.
- Consistent personality: SAM's decision-making, tone, and approach are always the same.
- No routing decisions: Tell SAM what to do. SAM figures out HOW.
- True parallelism: Cron jobs give you specialization without coordination overhead.
The Real Difference: How Humans Actually Work
Humans don't naturally manage multiple specialists simultaneously. We build relationships with individuals. We learn their personality, trust their judgment, and rely on them more over time. Multi-agent systems violate this pattern. SAM mirrors how you'd actually work with a human assistant—and that's why it works.
A top NY law firm just apologized to a federal court for AI errors.
"Human in the loop" isn't enough. The fix is architecture that can't fabricate in the first place — which is exactly how SAM is built.
The Hardware You Own
SAM runs on dedicated Apple Silicon in your office — not someone else's cloud. For departments and enterprises, stack them for more power. Every conversation, every document, every decision stays inside your building.
Using Apple's Thunderbolt mesh networking, multiple SAM units cluster together into a single intelligence engine. More machines means more capability — not more complexity. Your IT team keeps full control.
What SAM Actually Did For Us
Not theory. Real results from real usage:
Saved $400 on patent filing
No lawyer needed.
Found $750 in unbilled services
Caught in an hour.
Financial dashboards in seconds
Now instant.
Emails triaged before I wake up
Spam deleted.
Tasks created automatically
No manual data entry.
Meeting prep docs ready
Every single time.
Investor research campaigns
Personalized at scale.
5 hours → 1 hour
Finally getting done.
Lost files found in 30 seconds
Recalls 100% of work.