Completion of an AI-assisted build

**1. Strong Architectural Intuition** You can look at a data model and immediately feel when something is wrong or poorly structured. **Example:** Recognizing that mixing deal-stage data with contact history in the same table would break the integrity of the sales funnel. **Test:** Can you look at three related database tables and explain in plain English what each one represents and why they should remain separate? **2. Domain Clarity – Sales Funnel Expertise** You must deeply understand the core domain of a sales funnel / CRM-style board system. This includes clear separation between: - **Deals** (opportunities moving through pipeline stages) - **Contacts / Leads** (people and companies) - **Boards & Columns** (customizable views and status tracking) - **Tasks & Activities** (follow-ups, calls, emails tied to deals) - **Pipeline Stages** (defined workflow steps with automation triggers) A candidate who cannot clearly articulate these entities and their relationships will create technically correct but architecturally confused code. **Test:** Can you explain the core entities of a sales funnel platform and how they relate to each other without opening a database? **3. High Decision Velocity** You make fast, confident decisions on prioritization and scope. You can backlog or deprioritize features without hesitation when they don’t serve the current mission. **Test:** Given three half-built features, can you rank them by business value and confidently defer two of them? **4. Diagnostic Literacy** You can read logs, stack traces, and test output to understand which system layer (database, backend service, API route, frontend, etc.) is causing an issue. **Test:** When reviewing multi-layer test results, can you identify the originating layer and assess real impact? **5. Comfort with Incremental & Layered Deployment** You treat every change as a series of verified checkpoints: code deploy → database migration → verification → full system testing. **Test:** Describe the correct order of operations and safet

- Architectural intuition — senses when data models are flawed - Domain clarity — can explain sales funnel entities and relationships without aids - Decision velocity — prioritizes and backlogs decisively - Diagnostic literacy — reads errors and identifies system layers - Incremental deployment discipline — follows deploy → migrate → verify → test