Building a Technical Literature Dashboard with Power Automate Power Apps LDX hub StructFlow
The article discusses the development of a technical literature management system called TechLit Viewer, which integrates various Microsoft 365 tools. It utilizes LDX hub StructFlow for AI extraction of data from unstructured documents and automates updates through Power Automate. The system aims to improve the accessibility and evaluation of technical literature across diverse fields.
- ▪TechLit Viewer processes 18 documents using Power Apps and Power Automate.
- ▪The system extracts 8 fields from documents, including title, authors, and relevance score.
- ▪Two Power Automate flows are designed for automatic updates and manual bulk processing.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/kozo-ki/building-a-technical-literature-dashboard-with-power-automate-power-apps-ldx-hub-structflow-3aa4 |
| Publication time | Mon, 18 May 2026 23:51:51 +0000 |
| Retrieval time | 2026-05-19T00:04:57.018Z |
| Last seen | 2026-05-19T00:04:57.018Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | xKSTHXBnU8Rx |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3906970) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Kozo-KI Posted on May 18 Building a Technical Literature Dashboard with Power Automate Power Apps LDX hub StructFlow #powerautomate #powerapps #ai #structflow Verification Case Report #006 — 2026.05.18 | Time spent: ~3 days Overview Metric Value Documents processed 18 Power Apps screens 4 Power Automate flows 2 StructFlow extracted fields 8 We built TechLit Viewer — an end-to-end technical literature management system that uses LDX hub StructFlow to extract structured data from…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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