Website Automation System

2) Constraints

• • Static-first build with no backend lock-in
• • Deterministic intake routing with auditable rules
• • No hydration mismatches across marketing routes
• • Governance checkpoints for every transition from inquiry to engagement

3) Architecture

AIAS implemented a static-first Next.js architecture with a client-safe intake classifier, structured JSON export, and conversion paths tied to Reach campaigns and Zeo implementation tracks.

4) Tradeoffs

• • Deterministic routing reduced flexibility for ambiguous edge cases but improved auditability.
• • Local-first qualification keeps deployment simple but requires explicit export for downstream systems.
• • More up-front schema design effort is required to preserve deterministic scoring over time.

5) Governance model

• • Policy gates enforce acceptable deployment patterns.
• • Explicit fallback path when required fields are missing.
• • Run artifacts include timestamped JSON for compliance review.

6) Performance outcomes

• • Reduced manual triage time through deterministic classification
• • Improved conversion quality by matching requests to clear engagement models
• • Maintained static-safe rendering and predictable build output

7) What we would do next

• • Reach uses these case patterns for demand generation and qualification
• • Zeo consumes structured outputs for system build planning
• • Settler handles repeatable deployment and governance handoff