Why I'm building an AI commerce engine that shows its work (and how you can help)
Nitish Kumar is developing ClarityCommerce, an AI commerce engine designed to provide transparency and control for users. Unlike existing tools that often rely on simple scripts, this platform aims to offer genuine reasoning and verifiable decision-making. Kumar is seeking feedback and technical co-builders to refine the architecture before scaling.
- ▪ClarityCommerce is built on a tech stack that includes Next.js and TypeScript.
- ▪The platform features an explainable AI dashboard that allows users to see the reasoning behind AI recommendations.
- ▪Kumar is looking for 5-10 technical co-builders to help with the MVP phase.
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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/nitishkumarpro/why-im-building-an-ai-commerce-engine-that-shows-its-work-and-how-you-can-help-23j2 |
| Publication time | Fri, 29 May 2026 07:07:40 +0000 |
| Retrieval time | 2026-05-29T07:19:58.503Z |
| Last seen | 2026-05-29T07:19:58.503Z |
| 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 | O4kehhzGX1M3 |
| 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 === 3955997) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Nitish Kumar Posted on May 29 Why I'm building an AI commerce engine that shows its work (and how you can help) Hey devs 👋 I'm Nitish — a full-stack developer and AI automation engineer. For the past 7 years, I've built SaaS platforms, AI agents, and e-commerce integrations for startups and agencies. And I kept seeing the same problem: Most "AI commerce tools" aren't actually AI. They're if-then scripts wrapped in a chat UI. They drain budgets with unpredictable credits.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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