AI Product Thinking in Practice

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Hands-on AI builds that show how I think, design, and ship AI products.

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My AI Builds

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How I build with AI and build on AI from 0 → Scale

I have a whole AI playbook! Check out → AI Product Build Playbook

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My standard AI architecture workflow

---
config:
  layout: elk
  elk:
    nodePlacementStrategy: NETWORK_SIMPLEX
---
flowchart TD
subgraph Frame["<b>1. Frame</b>"]
direction LR
F1("Problem")
F2("Who Hurts")
F3("AI Durability Check")
F4("Smallest Proof")
F1-->F2-->F3-->F4
end

subgraph Spec["<b>2. Spec</b>"]
direction LR
S1("Inputs")
S2("Outputs")
S3("Data Strategy")
S4("Success Criteria")
S5("Model Eval")
S6("Product Metrics")
S1-->S2-->S3-->S4-->S5-->S6
end

subgraph Arch["<b>3. Architect & Design</b>"]
direction LR
A1("Agent Shape")
A2("Context Strategy")
A3("Tools")
A4("HITL Boundaries")
A5("Safety Boundaries")
A6("UX Flows")
A7("Design System")
A1-->A2-->A3-->A4-->A5-->A6-->A7
end

subgraph Build["<b>4. Build</b>"]
direction LR
B1("AI Scaffolds")
B2("Prompt Engineering")
B3("Tool Integration")
B4("Human Steers Spec")
B1-->B2-->B3-->B4
end

subgraph Eval["<b>5. Eval</b>"]
direction LR
E1("Real Inputs")
E2("Failure Modes")
E3("Prompt Gaps")
E4("Tool Gaps")
E5("Cost / Latency Gates")
E1-->E2-->E3-->E4-->E5
end

subgraph Polish["<b>6. Polish</b>"]
direction LR
P1("Explainability")
P2("Trust Signals")
P3("Edge Cases")
P4("Error States")
P5("Undo")
P1-->P2-->P3-->P4-->P5
end

subgraph Ship["<b>7. Ship & Measure</b>"]
direction LR
M1("Leading: Usage")
M2("Lagging: Outcomes")
M3("Feedback Capture")
M1-->M2-->M3
end

Frame e1@==> Spec
Spec e2@==> Arch
Arch e3@==> Build
Build e4@==> Eval
Eval e5@==> Polish
Polish e6@==> Ship
Ship e7@==> Eval

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I have a whole AI Agentic patterns I use! Check out → AI Agentic Playbook

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To go agentic or not to go agentic?

---
config:
  layout: elk
  elk:
    nodePlacementStrategy: NETWORK_SIMPLEX
---
flowchart TD
    A["New Task or Workflow"] e1@==> B{"Is it a recurring task<br>with a reliable trigger?"}
    B e2@==>|"No<br>(Ad-hoc or interactive)"| C["Use an On-Demand AI Assistant<br>e.g., ChatGPT, Claude, Copilot"]
    B e3@==>|"Yes"| D{"Does it completely remove<br>human attention?"}
    D e4@==>|"No<br>(Still needs human review<br>or manual handoff)"| E["Use an On-Demand AI Assistant<br>(e.g., execute a saved 'Skill' or playbook)"]
    D e5@==>|"Yes<br>(Runs autonomously<br>end-to-end)"| F{"Is the logic deterministic?<br>Hard rules vs. reasoning"}
    F e6@==>|"Yes<br>(If/Then logic)"| G["Build Standard Automation<br>e.g., Zapier, Make, Scripts"]
    F e7@==>|"No<br>(Requires messy logic<br>or interpretation)"| H["Deploy an Autonomous AI Agent"]

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    e5@{ animation: slow }
    e6@{ animation: slow }
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    classDef manual fill:#E1F0FF,stroke:#0052CC,stroke-width:2px,color:#003366
    classDef automation fill:#EAE6FF,stroke:#403294,stroke-width:2px,color:#2A215E
    classDef agent fill:#FFE1ED,stroke:#651F70,stroke-width:2px,color:#3D1244
    classDef start fill:#F4F5F7,stroke:#091E42,stroke-width:2px,color:#091E42
    classDef decision fill:#FFF5E6,stroke:#D97706,stroke-width:2px,color:#78350F
    
    class A start
    class B,D,F decision
    class C,E manual
    class G automation
    class H agent

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