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I don’t start my day by checking email anymore.
At 7am, Jarvis checks in with me.
It sends a full briefing:
Pipeline movement
Inbox triage
Deal risk scores
Content queue status
All processed overnight. All ready before I touch a keyboard.
This is Part 1 of a series. I’m unpacking what I built, what’s next, and how you can build your own version from scratch.
💡 - This is not a one size fits all solution. The AI I built might be totally different from the AI you build. For ideas on how to use your own personal AI assistant, ask yourself this question: "what is one task that you generally perform at a computer that you would like to never have to do again?”
Unless the answer is Zoom calls, it can probably be automated.
What Jarvis is
This project started as an email triage tool. One feature. Annoying problem. Simple fix.
It is not that anymore.
Jarvis is personal AI operating system.
It manages my sales pipeline, generates content in my voice, triages my inbox, scores my deals with MEDDPICC, researches prospects, monitors my stock watchlist, and runs 22 automated background jobs without me touching anything.
All of it lives inside:
A single Telegram chat
A custom dashboard (when I need a screen) that I can truly “live” in.
Keep reading to see what has shipped so far
The interface
So how do I communicate with Jarvis, you might ask. I can currently communicate with Jarvis in the following ways:
Telegram
40 commands
Voice notes too (I can talk to it, it transcribes, then acts)
Email
Jarvis has his own email account, so I can email him
This is especially useful if you for emails that contain information you might want to hang on to, but do not have a purpose for it now.
Text
Jarvis has his own phone number
I can text him, and maybe more importantly… he can text me (as well as anyone else that I want him to…. prospects, my wife to let her know I’m running late, etc.)
Dashboard
I have a “live" webpage (password protected, of course) with an obscure web address.
This is the primary screen that I work out of all day long. I can check/send email, check and add to the calendar, view either my or Jarvis' Google Drive, generate ideas for my content, work my deals (including CRM updates), run email campaigns, manage my Slack channels, pull signals from prospects, and literally so much more.
One app
Any device
No new tools to learn

Email OS
This delivered the fastest return.
7am Morning Briefing: inbox summary, calendar events, open tasks, and drafted replies waiting for review
Email triage every 30 minutes: unread emails categorized, ranked, and reduced to the top 5 that actually require action
Proactive reply drafting: Jarvis writes responses in my voice before I ask
One command to approve and send
I now spend about 10 minutes in my inbox.
It used to be 45.
Sales OS
This is where most of the work went.
Jarvis replaced my CRM for tracking deals. I migrated out of Notion in February. Everything lives here now.
Seven pipeline stages
Full history on every deal
What it does on the sales side
MEDDPICC scoring on every active deal
Deal velocity tracking (average days per stage, where things are stalling)
Gap coaching with specific questions for each deal
3-touch follow-up sequence generation from deal context
Contact enrichment via Apollo and Clay (title, company, tech stack, intent signals)
Competitor research via Perplexity
Win/loss logging with reasons and lessons
Most of this runs from one Telegram command. Some runs automatically.
Content OS
I produce a lot of content.
LinkedIn posts
Newsletters
Short-form video
Jarvis generates all of it in my voice. Not a generic voice. My actual voice.
I gave it 15 files of style guides, voice rules, exemplar posts, and anti-patterns. The output comes back nearly ready to use - but sometimes I have to jump in and put my own personal touches in.
What has shipped on the content side
10 hooks per topic, written to my exact cadence
Full LinkedIn post expansion from a raw idea
Newsletter draft agent that runs every Sunday at 5am
Content pipeline tracker across platforms
YouTube video ingestion: paste a URL, get a KB summary and two LinkedIn drafts
Performance tracking and content gap detection
The newsletter you are reading right now was drafted by Jarvis. I edited it.
Proactive automation
22+ scheduled background jobs. No input required.
A few examples:
7am weekday: async standup check-in
8am weekday: buying signal scan across my prospect watchlist (job changes, funding rounds, trigger events). I only get notified when there is positive movement.
8:30am weekday: stock watchlist report
9am daily: deal contact warmth tracker
5:30pm daily: habit tracker check-in (outreach, content, deep work)
5pm Friday: weekly scorecard (revenue, content, habits)
Sunday 5am: newsletter draft synthesis
I wake up and the briefing is already there.
I end the week and the scorecard is already waiting.
This is what makes it an operating system and not just a chatbot.
Knowledge base
Nearly 300 markdown files power everything above.
Voice guides
Style guides
Deal playbooks
Framework indexes
Webinar summaries
Competitive intelligence
When Jarvis generates content or researches a deal, it routes to the relevant files first.
That knowledge base is why the output sounds like me.
Without it, you get generic AI output.
With it, you get something that holds your voice across every tool.

What is coming next
Four things actively in progress.
Chief of Staff mode: more autonomous. Close-date risk alerts, market intelligence briefings, daily agenda building. Less “answer when asked,” more “flag this before you think to ask.”
Auto-repurposer: approved LinkedIn post automatically reformats for other platforms.
Mobile layer: a mobile-native interface. Early, but in progress.
Multi-agent: today it runs single-threaded. Moving toward parallel agents handling different workflows at the same time.
Where this goes by end of year
If the trajectory holds, Jarvis operates without commands by year-end.
No “draft me a follow-up.” It notices the deal went quiet and messages me with a draft already written.
No Salesforce. No HubSpot. Full pipeline management inside a system I control, with AI-weighted forecasting that updates after every interaction.
And the architecture that runs my sales OS can run:
An operator’s back office
A marketer’s content stack
A recruiter’s sourcing engine
The tools change. The pattern does not.

How to build your own version
I’ll go deep on this in future issues. Here’s the five-step mental model to get started.
Step 1: Pick your interface
Telegram.
Bot API is simple
Works on any device
Voice notes are built in
Your assistant lives in a chat, not another app.
Step 2: Pick your brain
Claude (Anthropic).
Specifically for tool execution. Sonnet or Opus handle tool calls, reasoning chains, and context-aware responses without custom training.
Step 3: Define the tool pattern
Every capability is a “tool”:
Name
Description
Input schema
You give Claude the list. It decides which tool to call based on what you said.
This is Anthropic’s tool-use pattern.
Once you understand it, every new capability is just adding another entry.
Step 4: Host it somewhere that runs 24/7
Railway.
Push to GitHub, it deploys.
About $5/month.
Your automations run while you sleep.
Step 5: Start with one thing
Pick the most painful daily task.
One tool
Use it for two weeks
Then add the next one
That’s how this went from email triage to what it is today.
Paid subscribers get the actual starter skeleton below.
The file structure and core tool pattern that powers everything above. If you're going to build this, start there instead of from scratch.
Talk next week.

The Jarvis Skeleton
Quickstart for paid subscribers | sellingwithai.vip
1) The starter skeleton
The actual file structure and a barebones version of the core tool pattern.
It’s a working Express server with:
A
JARVIS_TOOLSregistry wired upOne example tool implemented end-to-end
You clone it, add your API keys, and start building.
2) The blueprint doc
Not code. Decisions.
Both are linked for paid subscribers below.



