Sena
AI event concierge for conferences and meetups.
Session recommendations, networking matches, and real-time attendee support without login friction.
sena.so →
Operator
Arun Agrahri
I run five AI-native companies with co-founders, AI agents, and zero employees. I build the same operating system for mid-market companies.
AI Implementation For Mid-Market
The Operator Method.
An AI implementation methodology for mid-market companies, run by someone who operates AI-native companies himself. I don't teach AI; I build the operating system your company runs on.
The architecture, build order, and stack categories behind five companies run with zero employees.
Proof
I've already built what I sell
Sena, Precis, Gavel, TrueStandard, and GameTape. Five companies, co-founders and AI agents, zero employees. Not slideware: architecture you can inspect.
Precis
Where health experts agree, and where they don't.
Consensus reports across thousands of expert videos. Supplements, dosages, protocols, all scored.
precis.health →Gavel
Expert advice with real citations, not generic output.
Proven frameworks from practitioners who've done the work, with sources and explicit tradeoffs.
usegavel.com →TrueStandard
The AI verification layer for high-stakes decisions.
Run one query across multiple premium models to surface consensus, disagreement, and what needs human review.
truestandard.ai →GameTape
The ambient observation layer for executive coaching.
A Mac app watches your screen; the backend turns it into daily AI coaching debriefs and longitudinal pattern detection.
gametape.gg →And more
Taffy, LinkList, SubjectCards.
Three more products operated the same way. See the full portfolio.
See the companies →The Operator Method
We don't sell an AI tutorial. We build your operating system.
It produces one thing: your company's AI Operating System. It captures your data and your team's expertise, then runs your workflows, so the business stops depending on any one person. You keep the domain expertise; we put the tool fluency where that expertise already lives.
01 / Audit
Where to spend the AI window first
We map where your data lives, where you're overstaffed or bottlenecked, and what to build in what order, with the ROI math to defend it. Fixed deliverable, walked live.
02 / Implementation
The system, built on fixed scope
Data layer first, clean workflows, agents on top, never instead. Daily demos in a shared channel. You watch it get built.
03 / Recurring
Operated so it compounds
We run and improve the deployed stack month over month: nightly self-improvement, weekly evals, new capability added. The system gets better, not stale.
Not ready for a full audit? Start with an Operator Working Session: a half-day where we stand up the first piece of your AI Operating System live with your team.
Why now
Your competitors are going AI-native. The gap compounds.
Most haven't changed
You're running 2022 operations
Most mid-market companies operate roughly the way they did before. Their AI-native competitors don't. The distance widens every quarter.
The window is open now
The time warp won't wait
The AI-native capability that's expensive to run today is cheap in two years. The window to leapfrog incumbents is open now and closes as the cost collapses.
Ramp time collapses
Raise the floor for everyone
When a new hire inherits the operator's context on day one, onboarding stops being a months-long tax. The whole team levels up.
Pricing
Fixed scope. Fixed price. Walked live.
No retainers for access. No open-ended consulting. Every engagement starts with an audit, and each rung credits into the next.
$1.5K-$2.5K
Operator Working Session
A half-day. We stand up the first piece of your AI Operating System live with your ops team. Paid discovery that scopes the audit.
What you get
- The first working piece of your AI Operating System
- A live read on where your data lives and what's automatable
- Fee credits 100% against the audit if booked within 30 days
$2.5K-$10K
Audit
10 to 14 days, fixed deliverable, walked live. Where to spend the AI window first, with the ROI math your leadership team can defend.
What you get
- Current-state map + cost-of-inaction model
- Proposed AI Operating System (categories) + 7-layer build order
- Roadmap, ROI, investment, next steps
- Fee credits 50% against implementation if signed within 30 days
$25K-$100K
Implementation
4 to 12 weeks, fixed scope. We build the system, data layer first, then workflows, then agents on top, with daily demos in a shared channel.
What you get
- The AI Operating System, built on a fixed scope
- 7-layer build order, daily demo cadence
- Architecture and handoff docs (categories, not prompts)
$5K-$15K/mo
Recurring
Ongoing operation and improvement of the deployed stack: nightly self-improvement, weekly evals, new capability every month.
What you get
- Monthly operation of the deployed AI Operating System
- Weekly evals + continuous improvement
- New capability shipped each month
The teardown
How I run five companies with zero employees
The agent architecture, build order, and stack categories behind the companies I operate. No prompts (those are mine), just the maps. Straight to your inbox.
FAQ
The questions operators ask
What does an audit actually produce?
A current-state map, a cost-of-inaction model, the AI Operating System we'd build (categories, not prompts), a build order, the ROI math, and an investment plan. Walked through live, not sent as a PDF you never open.
Why mid-market and not enterprise?
Mid-market companies ($2M-$50M) are big enough to have real operations worth systematizing, small enough to move fast, and underserved by the enterprise consultancies. It's exactly where the leapfrog window is widest.
How is this different from AI consultants who teach?
Most consultants teach the method. I live it. Everything I'd recommend to you is already running in a company I built and operate myself.
Why no employees? What about contractors?
Founder-led, with co-founders and AI agents. Zero employees means no payroll and no recurring contractors. The work runs on the system, not on headcount.
Can you share the prompts and code?
No, by design. You'll see the architecture and the categories, so you understand exactly how it works. The prompts, configs, and agent code are the IP. Yours get built for you, and they stay yours.
Do you sell the products you operate?
Sena is a separate company. The others aren't for sale. They're proof of how I operate, and the first vertical of the method.
Audit Application
Apply for an audit
I take only a few audits a month. A little context lets me see if it's a fit and scope the conversation.