Welcome to GTM Vault, trusted by 25,000+ founders and operators building the future of revenue.
This week’s guest is Vignesh Ravichandran, founder of MyClone, a platform that lets knowledge professionals build voice and text agents trained on their thinking, content, and judgment.
Before MyClone, Vignesh led database infrastructure at Cloudflare, handling traffic for more than 20 percent of the internet, and co-founded an open source Postgres startup. That background matters because MyClone is not a chatbot company. It is an infrastructure company built with AI.
The core question behind this episode is simple but dangerous.
What happens when clients can access your level of thinking, not generic AI, without waiting for your calendar?
Inside this episode
Why clones are just the interface and data quality decides everything
How expertise becomes a product once education and qualification are offloaded
Why 15 plus years of experience is the real inflection point for cloning
The difference between demo grade AI and production grade systems
How knowledge professionals monetize clones without revenue share or platform tax
Why latency beats raw intelligence in real conversations
The GTM motion for a category that does not fully exist yet
Why AI clones are leverage, not replacement, and where ethics draw the line
This episode is for consultants, coaches, founders, advisors, and GTM leaders who feel the ceiling of time based work and want to scale themselves, not headcount.
We discuss
0:00 Intro
1:08 From infrastructure to building AI-native leverage
4:01 Why AI clones are an infrastructure and data problem, not a UI feature
6:57 What it really means to productize expertise
8:42 Using AI clones for nurture, qualification, and conversion
10:34 Freemium vs premium and usage-based monetization for AI products
14:12 Why most RAG systems fail in real GTM workflows
17:41 GTM strategy for creating a new AI-native category
22:52 Where demand actually comes from today (LinkedIn, Reddit, outbound)
28:41 What being AI-native actually means in 2026 for operators
Highlights
Expertise has a bandwidth problem
Most experts do not lack demand.
They lack leverage.
Their best thinking lives inside calls, and every hour sold caps the business. AI clones move education, qualification, and role play off the calendar while keeping human judgment where it matters.
Clone is a metaphor
The real product is infrastructure.
Clean ingestion, hierarchical graph based RAG, and production grade pipelines determine whether a clone works in real conversations or collapses outside a demo.
Garbage in equals garbage out.
Knowledge professionals win first
Consultants, coaches, and advisors already have the hardest asset, a deep body of work.
Podcasts, frameworks, assessments, talks, and methodologies compress decades of thinking into something machines can learn from.
Productizing expertise is not new
Books, courses, and group coaching were earlier leverage plays.
AI clones are the next compression step. Persistent, interactive, always on access to how you think without replacing judgment or relationships.
Monetization stays with the creator
MyClone charges a flat subscription. Users keep 100 percent of the revenue their clones generate.
Some charge per interaction.
Some bundle clones into retainers.
Some gate access behind authentication for clients.
Leverage is mandatory. Monetization is optional.
Latency matters more than brilliance
In live conversations, a good enough answer now beats a perfect answer later.
MyClone reduced latency by roughly 25 percent by changing embedding models without sacrificing quality. That is infrastructure discipline, not AI hype.
The GTM motion is partner led by default
Founder led outbound, personalized Loom demos, LinkedIn education, Reddit credibility, and eventually partners who already own trust with SMBs.
This category will be won quietly by operators who understand workflows, not slogans.
Frameworks and playbooks from the episode
1. The expertise bottleneck map
Identify where time leaks from your business.
Education and onboarding
Qualification and readiness checks
Role play and scenario coaching
These move first. Judgment stays human.
2. Clone readiness checklist
You are ready to clone if you have:
Ten plus years of experience in a defined domain
Repeatable frameworks or methodologies
Existing content such as talks, podcasts, or assessments
High inbound demand constrained by time
If not, build the body of work first.
3. Infrastructure over prompts
Production grade clones require:
Clean, multi format data ingestion
Graph based knowledge structures
Defined personas with explicit objectives
Low latency response paths
Continuous testing and error handling
If it only works in a demo, it is not infrastructure.
4. Clone monetization modes
Choose based on your GTM motion.
Paywall for direct monetization
Authentication wall bundled into retainers
Freemium for education and qualification
Subscription for persistent access
All roads lead to leverage.
What you should do this week
List the ten questions prospects ask before booking time with you
Identify which ones can be answered or role played asynchronously
Audit your existing body of work for training material
Decide where human judgment truly matters and protect that time
Why this matters for scaling
The last decade rewarded people who sold time.
The next decade rewards people who turn knowledge into systems.
The winners will not book more calls, hustle harder, or scale headcount.
They will scale themselves.
AI clones are not the end of consulting. They are the end of wasted expertise.
This is GTM Vault.
Build systems, not stress.
If this episode shifted how you think about leverage, forward it to one operator still selling time.
Connect
Follow Vignesh Ravichandran: LinkedIn | MyClone
Follow Rick Koleta: LinkedIn | RiteGTM
Catch up on all GTM Vault episodes →
