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Path 02 · AI Business Builder

Learn to build AI.
Then learn to sell the outcome.

Shipping software is only one part of the job. You learn agents, vibe coding, websites and deployment — then the business system that turns those skills into offers, conversations, proposals and paid delivery.

VIBECODE WORKSPACEproject: client-portal
PROJECTappdashboard.tsxagent.tstools.tsschema.sqltests
agent.tsdashboard.tsx
01 export const agent = createAgent({
02   role: "Revenue operator",
03   tools: [gmail, calendar, crm],
04   memory: longTermMemory,
05   approvals: "before-spend",
06 });
+ add proposal approval gate+ retry failed CRM write x3- direct send without review
AI BUILD PARTNER
“Build the next slice. Keep existing API contracts. Add tests before changing UI.”
1Read repo
2Plan
3Implement
4Verify
BUILDAgents, sites, dashboards and client systems.
SHIPDeploy, test, monitor and improve.
SELLNiche, offer, prospects, demos, proposals.
DELIVERScope, handoff, retain and repeat.
AI Business Builder agenda

Build the system. Package the outcome. Win the work.

The technical and commercial agendas run together so each capability becomes something you can demonstrate and sell.

01

Agent foundation

Use case, brain, knowledge, memory, tools and approvals.

02

AI coding workflow

Define, plan, build, test and ship with Codex and Claude Code.

03

Web products

Landing pages, dashboards, client portals, data and authentication.

04

Production delivery

Deployment, security, monitoring, handoff and support.

05

Market + offer

Choose a niche, identify expensive repetition and package a result.

06

Pipeline + sales

Research, outreach, discovery, demos, proposals and pricing.

07

Close + deliver

Scope, onboarding, project control, retention and referrals.

Your technical operating system

Use AI coding tools with discipline.

Codex and Claude Code are not magic buttons. We teach a workflow that makes them reliable teammates.

VIBECODE WORKSPACEproject: client-portal
PROJECTappdashboard.tsxagent.tstools.tsschema.sqltests
agent.tsdashboard.tsx
01 export const agent = createAgent({
02   role: "Revenue operator",
03   tools: [gmail, calendar, crm],
04   memory: longTermMemory,
05   approvals: "before-spend",
06 });
+ add proposal approval gate+ retry failed CRM write x3- direct send without review
AI BUILD PARTNER
“Build the next slice. Keep existing API contracts. Add tests before changing UI.”
1Read repo
2Plan
3Implement
4Verify
01ProblemStart with a valuable user problem, not a framework.
02SpecState scope, data, constraints, acceptance criteria.
03PlanInspect code and architecture before changes.
04BuildSmall verified slices with clear checkpoints.
05ShipDeploy, observe, fix, learn from users.
The real differentiator

We teach the part that makes technical skill commercially useful.

Your prospect does not want “an LLM workflow”. They want faster quotes, fewer missed leads, less admin, higher conversion or a better customer experience.

CLIENT PIPELINE$18,500 open
Prospects18
Dental groupAI front desk$3.5k
Logistics teamquote automation$5k
Discovery4
Law firmintake + research$7.5k
Proposal2
Property opsguest agent$4.5k
Won1
Local serviceslead qualifier$3.6k
Reply rate14%Discovery → proposal61%Avg. deal$4,900Next action9 today
PROBLEMExpensive + urgent + frequent
→
OFFERClear outcome + bounded scope
→
PIPELINEProspects + outreach + follow-up
→
SALESDiscovery + demo + proposal
→
DELIVERYShip + retain + referrals
What you can sell

Start with outcomes a business can understand.

We use productized examples so you can practice turning technology into a concrete offer.

OfferOutcomeExample scope
AI Lead DeskMore qualified calls, less manual chasingAgent + CRM + calendar
AI Client PortalFaster service with self-serve + human handoffWebsite + agent + knowledge
AI Operations LayerLess repetitive back-office workWorkflows + integrations + approvals
AI Research SystemFaster research and reportingRAG + search + reports
Founding cohort · October 25

Do not just learn to make things.
Learn to make things people buy.

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