Planned Next.js frontend for WordPress corpus

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Planned Next.js frontend for WordPress corpus

  • Day: 2026-04-01
  • Time: 10:00 to 10:10
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: HIGH
  • Assignee: Matías Nehuen Iglesias
  • Tags: Nextjs, Wordpress, Ingestion-Pipeline, Data-Validation, Frontend, Cli

Description

Session Goal

Define the implementation plan for a minimal Next.js frontend that consumes an existing WordPress-derived content corpus, while also reviewing the ingestion architecture and data quality constraints that affect the UI layer.

Key Activities

  • Reviewed the project brief for LCD_page and connected it to prior March journal entries.
  • Analyzed the ingestion system architecture across five layers: source acquisition, normalization, chunking, validation, and orchestration.
  • Examined the local WordPress ingestion pipeline, including how content is fetched, normalized, validated, and prepared for a local knowledge base.
  • Identified the directory structure for canonical vs. live raw posts to support repeatable data access.
  • Evaluated the extracted content corpus for UI readiness, focusing on structure, completeness, and weaknesses that could affect frontend design.
  • Drafted sprint planning guidance for a minimal Next.js frontend, including scope, deliverables, risks, and dependency assumptions.
  • Defined a CLI workflow for fetching, building, checking, and inspecting WordPress content to keep the corpus synchronized and validated.

Achievements

  • Clarified the end-to-end data flow from WordPress source content to a normalized local corpus.
  • Established that the frontend should be built against an already-prepared corpus rather than coupling UI work to live ingestion logic.
  • Surfaced key technical concerns: data completeness, normalization consistency, validation coverage, and corpus structure quality.
  • Produced a practical development sequence for the next sprint: fetch data, build normalized outputs, verify integrity, then implement the Next.js UI.

Pending Tasks

  • Confirm the exact corpus schema and which fields the UI will rely on.
  • Resolve any unknowns in the ingestion pipeline structure and file completeness.
  • Implement the minimal Next.js frontend and wire it to the prepared content corpus.
  • Run corpus integrity checks after each fetch/build cycle and address validation failures.
  • Decide whether additional normalization or content curation is needed before UI implementation.

Evidence

  • source_file=2026-04-01.sessions.jsonl, line_number=0, event_count=0, session_id=c0340b5a3c642acb9e13d58032b76629308b9f04d7fdd5fafe4e4936db77fa37
  • event_ids: []

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