Why We Focus on B2B and Pilot Projects

### ⚔️ Critical Intersection: Why We Close the Door on B2C

**B2C (Templates, Skills and Prompts for $20–100):**

*   **Essence:** This is a business built on traffic, funnels, and pennies.

*   **Problem:** You'd have to sell a "magic pill" instead of engineering. B2C audience can't formulate tasks, doesn't understand architecture, and demands endless support for pennies.

*   **Verdict:** This is unlimited workload and burnout. Our skill is systematic thinking, not targeted ads and answering questions like "why doesn't the button work in my ChatGPT."

**B2B (Consulting, Architecture and End-to-End Implementation):**

*   **Essence:** This is a business built on value, ROI, and engineering expertise.

*   **Plus:** The client speaks the language of money (headcount savings, time-to-market acceleration, bus-factor reduction). Here they value **task specification** and **decomposition**.

*   This is our profile. A $15k–$25k+ check is justified by business math, not emotions.

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### 🎯 Task Definition: The High-Ticket B2B Problem

Even if a business has money and an innovation budget, **no one will transfer $20,000 to an unfamiliar contractor for "AI automation"**. This is high risk. Architecture and processes can't be "touched" before work begins.

**Solution:** We need a bridge between "we don't know who you are" and "let's sign a year-long contract." That bridge is a **Pilot Project (Pilot / Proof of Concept)**.

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### 🏗️ Pilot Project Architecture (Spec)

A pilot is not a "cheap product." It is **paid diagnostics and value demonstration** on a strictly limited scope.

**1. Positioning and Price**

*   **Price:** $3,000 – $5,000.

*   *Why this much:* It's expensive enough to filter out those without an innovation budget. But affordable enough that a CTO or Engineering Lead can approve it without convening the board (falls under "testing/experimentation budget").

**2. Timeline**

*   **2–3 weeks.** Quick entry, quick results.

**3. Scope (Limitation)**

We don't automate the entire company. We take **ONE** specific, painful task that eats up the team's time.

*   *Example 1:* An AI agent for automatic code review against the company's internal standards.

*   *Example 2:* Generating ADRs (Architecture Decision Records) and documentation from legacy code.

*   *Example 3:* An AI assistant for onboarding new developers (answering questions about architecture and the repository).

**4. Pilot Phases (Iterative dialogue with the client)**

*   **Week 1: Audit and Architecture.** Interviews with the team, analysis of their stack, writing a foundational `agents.md` and selecting specific skills for their task.

*   **Week 2: Integration and Configuration.** Connecting the agent to their local environment/repository. Configuring rules and constraints (so the AI doesn't break production).

*   **Week 3: Test Drive and Measurements.** The team works with the agent. We measure metrics (hours saved, bugs caught).

**5. Deliverables**

1.  A working agent solving one specific problem.

2.  A report with quantified ROI (before/after).

3.  A **Roadmap** for full implementation with an estimate for the larger contract.

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### 🤝 Role Distribution and Hidden Benefits of a Pilot

A pilot project is genius because it works as a **two-way filter**:

1.  **For the client (Risk Reduction):** They pay $4k, see how you work, how you think, and get a working tool. If they like it — they sign a major $20k+ contract with a monthly retainer for support. The pilot cost can even be credited as a discount on the main contract.

2.  **For us (Adequacy Filter):** A pilot is a test drive of the client themselves. If at the pilot stage we see that the client has chaos in their processes, a toxic team, they don't allocate time for implementation and start nitpicking on small details — **we don't take them on for full engagement**. We collect our $4k, hand them the agent, and walk away. We saved ourselves from a year of working with a "dead body."

3.  In the worst case, we follow the rule of returning everything to its original state — rolling back the deployed agentic automation from the business, refunding the funds.

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