# Portfolio One-Pager: AI Workflow Audit + Automation Blueprint

Updated: 2026-06-29 23:05 +07

Use this as a paste-ready portfolio overview for application forms, Contra messages, Reddit replies, n8n Community replies, or a future public portfolio page.

Important: these are demo / sample assets, not paid client case studies.

## Positioning

I help teams turn messy AI / automation ideas into clear, buildable workflow systems.

My strongest fit is the architecture layer before or during implementation:

- workflow mapping
- input / output schema design
- prompt and structured-output contracts
- state labels
- failure handling
- human-review rules
- implementation blueprints
- n8n / GHL / Make / Zapier / Google Workspace handoff notes

## Offer

Current paid entry points:

- `$49` workflow diagnostic
- `$100` implementation blueprint
- `$250` small prototype skeleton

Best first step for most clients:

```text
$100 implementation blueprint:
workflow map, input/output schema, state table, error-handling plan, human-review rules, tool-by-tool build plan, first milestone scope, and handoff checklist.
```

## Proof Asset 1: n8n Lead Intake Audit Workflow

Files:

- `N8N_Portfolio_Demo_Lead_Intake.md`
- `n8n_lead_intake_audit_workflow.json`

What it shows:

- webhook-style lead intake
- required-field checks
- urgency scoring
- `priority_audit`, `normal_review`, and `needs_human_review` states
- clear next-step routing instead of vague AI replies

How to describe it:

```text
This sample shows how I structure lead intake before adding more automation: required fields, urgency scoring, status routing, and next-step logic. It contains no credentials and is meant as workflow proof, not a production client claim.
```

## Proof Asset 2: Home Services Lead Control Room

Files:

- `Sample_Audit_Home_Services_Lead_Qualification.md`
- `home_services_lead_dashboard_demo.html`
- `Loom_Demo_Script_Home_Services_AI_Automation.md`

What it shows:

- lead-to-booking boundary
- contact / opportunity state thinking
- human-review queue
- missed-lead and no-show risk framing
- dashboard-style operating view

How to describe it:

```text
This home-services demo shows how I would surface lead state, booking boundaries, and human-review queues before scaling a GHL or chatbot workflow.
```

## Proof Asset 3: E-commerce AI Video Pipeline Skeleton

Files:

- `Sample_Audit_Ecommerce_AI_Video_Pipeline.md`
- `n8n_ecommerce_video_pipeline_skeleton.json`

What it shows:

- content brief intake
- account-rule validation
- script / segment contract
- Google Drive output plan
- review status
- failure-state handling

How to describe it:

```text
This sample maps a safe first slice for an e-commerce AI video workflow: intake, script contract, segment plan, Drive handoff, review status, and failure states. It does not automate posting or claim a production video system.
```

## Proof Asset 4: Gmail / Sheets Classification Audit

File:

- `Sample_Audit_Gmail_Sheets_AI_Classification.md`

What it shows:

- category schema
- routing rules
- false-positive risk handling
- review thresholds
- status tracking table design

How to describe it:

```text
This audit shows how I would scope an AI classification workflow before building: inputs, routing, confidence thresholds, human review, and logging.
```

## Default Application Paragraph

```text
I do not want to overclaim demo work as paid client results. What I can show is how I structure automation systems: workflow state, input/output contracts, prompt schemas, failure handling, human review, and handoff documentation. I can start with a small paid diagnostic or $100 implementation blueprint before a larger build.
```

## Do Not Claim

- Do not claim these demos are paid client work.
- Do not claim guaranteed revenue or conversion lift.
- Do not claim production Closebot, GHL, Vapi, Shopify, Supabase, or WhatsApp deployments unless separately verified.
- Do not send payment details unless a client explicitly asks to start paid work.