Operator playbook
Clear systems for choosing markets, shaping offers, selling outcomes, and running delivery.
The world's first AI-native university
We partner with entrepreneurs to build AI companies at scale
The playbook, partnerships, and systems to build AI companies that scale.
Platform
The roadmap, partnerships, and systems for building AI companies that scale.
Venture partner
Hands-on support for turning the thesis, offer, systems, and first revenue motion into an investable venture scale company.
Agentic systems
Reusable workflows for research, outreach, sales, onboarding, fulfillment, and reporting.
MCP Ventures X Antler
A direct pathway from the Venture Roadmap to Antler Canada.
We have formed a partnership with Antler Canada. Every MCP Ventures student follows the Venture Roadmap. Once an MCP Venture coach can confirm you have reached an investable state, we will personally set you up with an introduction call with the General Partners of Antler Canada for an opportunity to raise $250,000 at a $2.5M pre-money valuation.
Path
Complete the MCP Venture Roadmap
Review
Venture coach confirms readiness
Intro
Meet Antler Canada
Terms
$250K at $2.5M pre-money
Venture Roadmap
From pre-idea to pre-seed.
A scrollable build path that takes a founder from no idea to market thesis, customer validation, commercial proof, and a pre-seed ready company system.
9venture stages
1compounding company system
Stages01/09
Install Node, Git, Claude Code, GitHub CLI, Vercel, and the baseline project memory files.
Set up the terminal, package manager, authentication, repo workflow, and safe secret handling.
Create reusable context files for Claude, agents, commands, project standards, and delivery rules.
Output
A founder workstation ready to research, build, deploy, and operate agentic systems.
Choose an industry where speed, admin load, lead response, documents, or compliance create urgency.
Define the ICP by role, company size, current workflow, budget owner, and buying trigger.
Package one validated AI offer with a clear before-state, deliverable, success metric, and price band.
Output
A concrete ICP and offer brief that can be sold without vague AI positioning.
Build lead filters in LinkedIn Sales Navigator around industry, role, geography, headcount, and signals.
Export or route the saved lead list into Dripify with clean segments and connection logic.
Launch a first campaign with problem-led copy, proof points, soft calls to action, and reply triage.
Output
A live outbound system that creates qualified conversations every week.
Use Mom Test questions to ask about past behavior, current costs, failed alternatives, and urgency.
Map the workflow live: trigger, inputs, handoffs, decision points, delays, and business impact.
Score every call by pain intensity, budget access, implementation friction, and close likelihood.
Output
A validated problem map and sales notes that improve the offer after every call.
Convert real workflow pain into a specific design partner ask: access, usage, feedback, testimonial rights, and pilot terms.
Use LOIs to document the buyer, problem, proposed system, implementation timeline, and commercial intent.
Build a small design partner cohort so the product direction is shaped by customers with urgent workflows.
Output
A validation packet with LOIs, design partner commitments, pilot scope, and proof that the market wants the system.
Open with the business workflow, quantify the cost of staying the same, and anchor the outcome.
Present the AI system as a clear implementation path: audit, build, test, launch, optimize.
Close with price, timeline, access requirements, success criteria, and the next signed step.
Output
A repeatable call flow, proposal structure, and close framework for the first customers.
Send the invoice, engagement terms, onboarding form, access checklist, and kickoff schedule.
Collect workflow examples, credentials, documents, edge cases, and approval contacts.
Set communication cadence, reporting expectations, implementation milestones, and launch owner.
Output
A clean client onboarding room that reduces back-and-forth and protects delivery quality.
Build the workflow from intake through reasoning, tool calls, human review, logging, and reporting.
Test with real client edge cases before exposing it to live users or customer-facing operations.
Document the system, train the client, and set a weekly optimization loop around measured outcomes.
Output
A shipped agentic system tied to a business process, not a demo or disconnected chatbot.
Turn repeated delivery patterns into reusable playbooks, templates, automations, and internal tools.
Track pipeline, activation, fulfillment capacity, gross margin, retention signals, and expansion paths.
Build the pre-seed narrative around market wedge, design partners, LOIs, revenue proof, operating leverage, and expansion path.
Output
A startup scale plan with operating cadence, proof points, pre-seed narrative, and the next venture milestones.
Build your AI company with MCP Ventures.
Apply if you are serious about building an AI-native company and want a focused partner around the process.