Project Brief

Content Intelligence

A generalized pipeline for converting unstructured content into source-bounded information objects, searchable corpora, transcript enrichment packets, and targeted source-grounded analytical reports.

Implemented Pipeline

From cleaned artifacts to agent-ready context

Ingest synthetic source notes, staged video transcripts, and OCR cleanup examples; build checksum-backed manifests; normalize and segment the corpus; preserve citations; and generate method packs for source-grounded analysis.

Current Artifacts

  • Three synthetic source documents
  • Cloud video transcript workflow simulation
  • Transcript enrichment packet examples
  • OCR cleanup workflow simulation
  • Information-object map across three demo pipelines
  • 20 corpus segments and 9 normalized artifacts
  • Manifest and corpus construction scripts
  • Transparent keyword retrieval
  • Cited sample report
  • AI-readable analysis method pack
  • Privacy and copyright documentation

Evidence

What the demo proves

Source Boundaries

Each source has a manifest record with title, type, license, path, checksum, and processing status.

Citation-Preserving Segments

Twenty corpus segments carry source IDs and citation labels, so report claims can be traced back to supporting passages.

Transcript Enrichment

The staged media demo emits three enrichment packets that simulate an OpenAI-style cleanup pass without making a network request.

Public-Safe Output

The demo uses synthetic notes only and excludes private transcripts, course identifiers, student records, and credentials.

Next Build Direction

Artifact conversion before agent packets

The current status report identifies the next strategic tool: a unified converter for cleaned transcripts, OCR outputs, and public-safe documents. That converter should produce stable manifest, normalized artifact, corpus, index, and safety-review objects before a general agent context packet generator is added.

Inspect In Source Repo

  • reports/artifact-conversion-and-agent-context-status.md
  • docs/transcript-enrichment-workflow.md
  • sample_outputs/information-object-map.json
  • sample_outputs/cloud_video_transcription/transcript_enrichment_brief.md
  • sample_outputs/analysis-method-pack.json

Safety Boundary

Source-grounded, source-limited

Public examples must use synthetic, sanitized, public-domain, or clearly licensed source material. Do not publish professor names, university course identifiers, private LMS links, copyrighted transcripts, raw lecture text, private video URLs, private lecture manifests, or coursework-specific prompts.