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Consulting Automation

AI Industry Research OS

A consulting research workflow that links report claims to sources, fact checks, viewpoints, challenge evidence, reviewer decisions, and fixed public reports.

Live static proof · Sanitized historical snapshot · No live crawler or report-generation API

All flagship products
RoleOriginal engagement: Business–Technology Bridge & Joint Developer · Later public productization: narrower product-level attribution
StatusLive static proof · Sanitized historical snapshot · No live crawler or report-generation API

A consulting research workflow that links report claims to sources, fact checks, viewpoints, challenge evidence, reviewer decisions, and fixed public reports.

Domain
Consulting Automation
Role
Original engagement: Business–Technology Bridge & Joint Developer · Later public productization: narrower product-level attribution
Current status
Live static proof · Sanitized historical snapshot · No live crawler or report-generation API
Team boundary
The original work bridged an eight-person, CTO-led department, iResearch researchers, and CSDN engineers. Later productization is described at product level without claiming sole authorship of every component.

Problem

The user problem

Researchers, engineers, and delivery reviewers need to see which source supports a report claim, which evidence challenges it, and what changed during review.

Context

Project context

The original engagement covered requirements translation, a source audit, two delivery rounds, internal QA, and coordination. The later LaurenceYang site is a separate sanitized historical snapshot with narrower product-level attribution.

Workflow

Steps from question to review

  1. Translate research pain points into scope and testable workflow requirements
  2. Audit and validate the source set
  3. Keep sources, facts, viewpoints, and evidence associations distinct
  4. Attach challenge evidence and review to the delivery workflow
  5. Publish a fixed, allowlisted snapshot without live mutation or collection services

Controls

Controls I chose

  • Original delivery evidence and later public-snapshot evidence remain separate.
  • Supporting, limiting, and challenging evidence is not flattened into one certainty level.
  • The public package is read-only and allowlisted.
  • Crawler, scheduler, mutation, model, and report-generation services remain outside the public release.

Evidence

What has been verified

  • The original delivery included a 262-source audit, an 88-item evidence-validation table, five thematic reports, and 57 of 57 internally closed second-round content checks.
  • The later public proof is a frozen 2026-07-29 snapshot with five fixed English Evidence Briefs in DOCX and Markdown.

Public version

Open the current public version

The link opens the public version described above. Its status and limits are the same ones listed on this page.

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