Building ShouldWeAutomate: A Decision Intelligence Platform for Workflow Automation
The article discusses the development of ShouldWeAutomate, an open-source platform designed to assess the readiness of business processes for AI automation. It highlights the complexities involved in automation decisions and the need for a systematic, data-driven approach. The platform features a user-friendly interface and a scoring engine that evaluates various dimensions of a workflow.
- ▪ShouldWeAutomate is a decision intelligence platform for evaluating workflow automation readiness.
- ▪The platform uses a scoring system based on seven dimensions that affect automation decisions.
- ▪It features a gamified user experience with real-time score updates as users adjust input sliders.
DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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/harishkotra/building-shouldweautomate-a-decision-intelligence-platform-for-workflow-automation-3pn7 |
| Publication time | Sat, 30 May 2026 18:12:44 +0000 |
| Retrieval time | 2026-05-30T18:29:43.105Z |
| Last seen | 2026-05-30T18:29:43.105Z |
| 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 | yTmc7i1HgNFc |
| 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 === 101279) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Harish Kotra (he/him) Posted on May 30 Building ShouldWeAutomate: A Decision Intelligence Platform for Workflow Automation #ai #programming #python #dailybuild2026 How we built an open-source platform that tells you whether your business process is ready for AI automation — with deterministic scoring, gamified UX, and optional LLM inference. The Problem Every week, someone asks: "Can we automate this workflow?" The answer is never simple.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
