01
Messy signals
Calls, DMs, forms, reports, SOPs, and owner memory get pulled into one operating view.
Proof Library / Case Files
Systems built inside real businesses.
A field library of AI workflows, operating layers, dashboards, prototypes, and venture systems. Client names are sanitized where confidentiality matters.
7
client builds
Named only when safe
5
internal systems
Mau operating surfaces
5
blueprints + prototypes
Mapped before scale
2
public ventures
Separate lab lanes
Build Path
From stuck workflow to operating layer.
The portfolio is not just finished surfaces. It shows the path Mau uses to turn ambiguous business context into a system a team can actually run.
02
Blueprint rank
Bottlenecks are scored by leverage, sensitivity, effort, and proximity to revenue or delivery risk.
03
System map
The first build path becomes visible: triggers, context, owners, tools, and human review points.
04
Launch packet
The workflow gets translated into actions, dashboards, queues, and handoffs the team can run.
05
Optimize
The operating layer keeps learning from edge cases, misses, approvals, and new business context.
Workflow Path
01
Trigger
Form, call, DM, file, or SOP enters the system
02
Context
Tools and business memory attach the right source material
03
Human review
Owner approves sensitive or client-facing output
04
Launch packet
Workflow, owner, dashboard, and next action ship together
Best proof to show here
Blueprint export, workflow automation canvas, or launch-packet walkthrough once each case is approved.
Case Files
Proof artifacts from the operating layer.
Each file shows what was stuck, what operating layer was mapped or built, and which artifact makes the work inspectable.
Client names stay sanitized unless the work is already public-facing and safe to name.
Sanitized Client BuildCase file 001
Construction recruiting
Construction Recruiting Operating Layer
A recruiting firm needed live jobs, applications, resume upload, ATS handoff, team notification, and confirmation email to behave like one public operating path.
Candidates get a clearer application path and the team gets cleaner candidate records without manual copy-paste between surfaces.
Construction recruiting infrastructure
Hover for slow walkthrough
Proof route
1Careers page
2Job detail
3Apply form
4ATS create
Real capture
Use public page media plus fake candidate and sanitized ATS route labels.
Transformation
Email-based applications -> public careers and intake pipeline
SystemCareers page + ATS intake + team notification path
ArtifactCareers page
SourcePublic artifact
StatusIn Progress
Next.jsBullhorn APIResume uploadSlack notificationsEmail confirmation
Read proof notes
What was stuck
Applications could arrive without becoming clean candidate records, team notifications, and confirmation moments.
System mapped
Mau mapped the public careers surface, job detail path, resume upload, Bullhorn candidate creation, Slack notification, and confirmation email as one intake layer.
Proof artifact
The launch packet pairs a careers walkthrough with the Website -> Bullhorn -> Slack -> Email system map.
Operating shift
The business becomes easier to hire through because the candidate path is visible, inspectable, and connected to the recruiting team.
Public-safe policy
Use public page media plus fake candidate and sanitized ATS route labels.
Next media
Pair the public site walkthrough with a sanitized Website -> Bullhorn -> Slack -> Email architecture map before final launch.
Sanitized Client BuildCase file 003
Creative production
CHRONOS Creative Command Center
A creative director needed project momentum, IP risk, agent activity, review state, and production backlog in one operating room.
Production work becomes easier to inspect because deliverables, risk flags, owners, and next actions share one dashboard.
Cinematic creative production operating room
Hover for slow walkthrough
Proof route
1Brief intake
2Agent route
3Asset queue
4IP review
Real capture
Use fake project names and remove client, install, machine, and private production details.
Transformation
Creative workload -> live command center
SystemCommand center + agent routing
ArtifactCommand-center walkthrough
SourceClient capture
StatusPrototype
Command center UIAgent routingProject statusIP review flags
Read proof notes
What was stuck
The client needed to separate deliverable progress from creative backlog, IP risk, and raw agent activity.
System mapped
Mau shaped a command center with project state, agent routing, ownership cues, review state, and risk flags.
Proof artifact
The proof artifact is a real command-center walkthrough, plus future crops of the agent roster and IP risk card.
Operating shift
A creative workload becomes a visible operating surface instead of a pile of disconnected creative requests.
Public-safe policy
Use fake project names and remove client, install, machine, and private production details.
Next media
Replace the test clip with a cropped 10 to 12 second walkthrough after private names, projects, and install details are removed.
Sanitized Client BuildCase file 004
DTC email agency / founder ops
BMO Media Command Center
A founder command center brings revenue signals, client activity, daily intel, and tool-connected agent work into one Slack-routed operating surface.
Sammy can inspect client context, calls, CRM state, files, and follow-up from one operating layer instead of checking every tool manually.
BMO agency command center routed through Slack
Hover for slow walkthrough
Proof route
1Slack intake
2Fathom transcript
3Notion memory
4HubSpot route
Real capture
Use the command center capture. Blur or replace private client details in the final editorial cut if needed.
Transformation
Scattered agency tools -> Slack-routed command center
SystemSlack command center + client intelligence integrations
ArtifactCommand center walkthrough
SourceClient capture
StatusIn Progress
SlackOpenClawNotionFathomHubSpotGmailGoogle DriveKlaviyo
Read proof notes
What was stuck
The founder had to jump across too many tools before knowing what mattered today, which client needed attention, or which follow-up was blocked.
System mapped
Mau shaped a command center that routes Notion, Fathom, HubSpot, Gmail, Drive, Klaviyo, and agent work back into a Slack-centered operating layer.
Proof artifact
The proof artifact is a captured BMO command center walkthrough, with a final wider desktop capture still recommended for launch polish.
Operating shift
Agency context becomes visible as daily intel, client state, and routed next action instead of scattered app-checking.
Public-safe policy
Use the command center capture. Blur or replace private client details in the final editorial cut if needed.
Next media
Use the captured BMO command center walkthrough and replace with a wider desktop recording when the final public cut is ready.
Client BuildPublic build
Web3 infrastructure
LitVM Testnet Launch System
A public Web3 launch needed the site, testnet path, content route, hosting decisions, and follow-up workflow to survive real launch pressure.
The launch story becomes easier to inspect while the operational proof stays cropped to avoid private billing or account detail.
Web3 infrastructure launch control
Hover for slow walkthrough
Proof route
1Public page
2Testnet route
3Docs handoff
4Cache check
Real capture
Use public page capture and only cropped ops proof with no billing or account data.
Transformation
Public launch surface -> clearer testnet and ops path
SystemLaunch site + testnet page + ops proof
ArtifactPublic site scroll
SourcePublic artifact
StatusLive
Launch siteTestnet pageCloudflareVercel/Webflow planningContent workflow
Read proof notes
What was stuck
Launch work becomes fragile when public pages, hosting choices, content updates, and follow-up workflows are treated separately.
System mapped
Mau supported the launch surface, testnet path, hosting or caching decisions, and follow-up workflow as one launch system.
Proof artifact
The proof artifact is a public site capture plus cropped operations proof with sensitive account details removed.
Operating shift
The public launch has a clearer path and the operations story can be shown without exposing private infrastructure.
Public-safe policy
Use public page capture and only cropped ops proof with no billing or account data.
Next media
The public testnet scroll is in place. Add only cropped hosting or caching proof if account details are removed.
Capture Queue
More client patterns being captured.
These systems stay visible, but they no longer carry the same visual weight as finished captures until the stronger artifact pass is ready.
Sanitized Client Build
Sales training / education
High-Ticket Sales Training Automation Layer
The founder keeps the expert review moments while repeatable community, CRM, and DM patterns move through a cleaner route.
GoHighLevelSkoolManyChatAgent roster
Capture planned
Blueprint
Dental SEO / healthcare marketing
Dental SEO Automation Blueprint
The client gets a safer build sequence that separates workflow leverage from healthcare-sensitive boundaries.
ClickUpGoogle DriveWordPressGHL
Capture planned
Prototype
Construction compliance
Florida Permit Intelligence Layer
Operators can inspect permits, flag mismatches, and draft follow-up without rebuilding context from scattered records.
Permit datasetCounty mapValidation agentQ&A surface
Capture planned
Sanitized Client Build
Founder operations
Founder Agent OS Install Pattern
The founder gets leverage without losing human review, because agents are assigned roles, routes, and boundaries.
OpenClawSlackTelegram topicsAgent roster
Capture planned
Demo Systems
Public demos for repeatable operating patterns.
These are inspectable demo systems with fictional data. They show how the same operating patterns can be adapted across different business models.
Public demo
Permit pipeline / lead intelligence
Lead Gen OS
Fictional permit data flows through parsing, scoring, enrichment, and CRM-ready lead routing.
Permit intakeLead scoringCRM enrichmentVoice agent
Florida Permit Intelligence + lead routing patterns
Fictional dataOpen demo
Public demo
Agency reporting / client ops
Agency OS
A multi-client dashboard model for spend, ROAS, alerts, creative briefs, and automated reporting.
Client healthAlertsReportsCampaign signals
BMO Media Command Center + client ops systems
Fictional dataOpen demo
Public demo
Lifecycle marketing / content ops
E-Commerce OS
A sample commerce operating layer for email revenue, subscriber growth, flow performance, and content output.
Klaviyo flowsRevenue attributionContent queueInventory signals
DTC ops, reporting, and content systems
Fictional dataOpen demo
Public demo
ATS / recruiting automation
Recruiting OS
A recruiting architecture demo for LinkedIn, ZoomInfo, Bullhorn, candidate scoring, outreach, and reporting.
ATS routeResume AICandidate scoreRecruiter workflow
Recruiting automation and ATS handoff patterns
Fictional dataOpen demo
Public demo
Content / lead magnet / brand deal ops
Creator OS
A creator operating dashboard for content calendar, lead magnets, audience briefs, and brand-deal pipeline.
Content calendarLead magnetsAudience briefBrand deals
Content Engine + Council/Scorecard acquisition patterns
Fictional dataOpen demo
System Surfaces
Command centers, internal systems, and install patterns.
These are reference artifacts, not full case files. They show how command centers, agent teams, memory layers, and review loops become usable operating surfaces.
Internal System
Internal operating surface
Mau Studio Command Center
Mau runs his own work through an operating surface for pipeline, calendar, agents, content, tasks, and health signals.
What it proves
Founder context -> daily operating dashboard
Dashboard UIAgent statesPipeline signalsR&D loop
Mau OS native command center
Hover for slow walkthrough
Proof route
1Daily intake
2Pipeline signal
3Agent state
4Content queue
5R&D review
6Next action
Real capture
Use Mau-owned demo records or blurred private records. Remove revenue, health detail, names, and schedule context.
Sanitized Client Build
Client command surface
Client AI OS Dev Team Command Center
A client-facing AI OS dashboard for coordinating a 24/7 background dev team across apps, websites, marketing, admin, decision queues, and run logs.
What it proves
Ad hoc build requests -> always-on agent delivery room
OpenClawAgent rosterDev pipelineMarketing queueAdmin laneDecision queue
Client-facing 24/7 AI dev team command center
AI OS dev team command center
Proof route
1Client request
2Agent route
3Build lane
4Human decision
Real capture
Use public-safe project labels and avoid exposing private endpoints, tokens, client revenue, or internal task detail.
Prototype
Lead intelligence
AI Readiness Scorecard
A public scorecard turns founder traffic into fit signals, readiness profile, result page, and Blueprint routing.
What it proves
Traffic -> qualified workflow intelligence
Scorecard UIResult pageOffer routingPostHog events
Mau public scorecard funnel
Hover for slow walkthrough
Proof route
1Question flow
2Score model
3Result screen
4Offer route
Real capture
Use public scorecard capture and fake visitor answers only.
Prototype
Preview layer
Blueprint Simulator
A visual preview layer makes Blueprint outcomes tangible before a paid build starts.
What it proves
Diagnosis -> visible build path
Simulation UIWorkflow stagesOpportunity scoringScope path
Mau Blueprint simulator
Hover for slow walkthrough
Proof route
1Workflow signal
2Opportunity rank
3Owner
4Build path
Real capture
Use public Blueprint capture and fake workflow examples.
Internal System
Founder-led prompt product
Council Prompt System
A public thinking product turns council roles, strategic prompts, and output examples into an interactive lead surface.
What it proves
Thinking framework -> interactive prompt system
Council rolesPrompt cardsOutput examplesDelivery flow
Public council prompt product
Hover for slow walkthrough
Proof route
1Role select
2Prompt card
3Output sample
4Delivery route
Real capture
Use public prompt flow and fake output samples where needed.
Internal Capture Queue
Internal systems queued for cleaner proof.
These are real operating patterns, but the launch page will wait for sharper, privacy-safe captures before giving them full case treatment.
Internal System
Mau Studio
Company Brain / Memory Layer
The business can remember decisions, owners, and context without restarting from blank every week.
Context graphBusiness memorySearch surfaceRouting logic
Capture planned
Internal System
Mau Studio
R&D Council Review Loop
Strategic thinking becomes inspectable enough to reuse across offers, client work, and internal decisions.
Council promptsReview packetsDecision notesNext action routing
Capture planned
Internal System
Mau Studio
Content Engine / Reels Pipeline
The same operating logic behind client systems is visible in Mau Studio acquisition and publishing cadence.
Idea inboxScript queueReview loopPublishing tracker
Capture planned
Prototype
Financial operations
CFO Agent Graph
The prototype shows enterprise decision-surface thinking without exposing raw financial or institutional client context.
Graph UIScenario promptsRisk flagsDecision queue
Capture planned
Ventures & Labs
Separate experiments, same operating taste.
Venture
A Mau-built venture brand
Velocity Forge
Fast cinematic websites for brands that do not belong in clean SaaS templates.
What it proves: It shows Mau can create a separate brand system and offer lane without making Mau Studio carry that aesthetic.
Public artifactPublic
Contained cinematic venture brand
Venture brand system
Proof route
1Brand signal
2Landing system
3Offer lane
4Launch path
Final artifact
Use public site capture and keep venture visuals contained inside Mau Studio styling.
LAB CARD
Venture identity
Website system
Offer lane
Venture
Venture lab
Loop / Mentum Labs
A lab venture built around app screens, notification logic, ordering loops, and go-to-market planning.
What it proves: The lab card shows Mau can move from product concept into screens, launch path, and operating plan.
Public artifactSanitized
Loop / Mentum Labs product lab
Lab app launch surface
Proof route
1App screen
2Notification
3Order action
4Launch checklist
Real capture
Use public landing page capture and fake product data until app screens are approved.
LAB CARD
App screen
Notification bar
Launch plan
App store checklist
How proof is labeled
Real captures are labeled. Client data is removed or rewritten. Demo systems use fictional data.
Real capture
Screens and videos are real where marked.
Client-safe
Client data is removed, cropped, or rewritten when needed.
Public demo
Demo systems use fictional data to show repeatable patterns.
Blueprint -> Build -> Optimize
Start with the map. Build the operating layer.
The AI Blueprint turns messy workflows into a ranked build path before a system gets installed.