I Replaced a 15-Minute Booking Process with a LangGraph AI Agent
Artificial Intelligence I Replaced a 15-Minute Booking Process with a LangGraph AI Agent A step-by-step guide to building, running, and monitoring a stateful customer support agent using Python, LangGraph, and Langfuse. Soner Yıldırım Aug 2, 2026 7 min read Share Photo by Towfiqu barbhuiya on Unsplash I recently contacted a cleaning company to request a quote for cleaning a couch. They asked about its size and material and requested a picture of it.
- ▪Artificial Intelligence I Replaced a 15-Minute Booking Process with a LangGraph AI Agent A step-by-step guide to building, running, and monitoring a stateful customer support agent using Python, LangGraph, and Langfuse.
- ▪Soner Yıldırım Aug 2, 2026 7 min read Share Photo by Towfiqu barbhuiya on Unsplash I recently contacted a cleaning company to request a quote for cleaning a couch.
- ▪They asked about its size and material and requested a picture of it.
Towards Data Science files mainly under ai. We currently carry 103 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 | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/i-replaced-a-15-minute-booking-process-with-a-langgraph-ai-agent/ |
| Publication time | Sun, 02 Aug 2026 13:00:00 +0000 |
| Retrieval time | 2026-08-02T13:10:40.731Z |
| Last seen | 2026-08-02T13:10:40.731Z |
| 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 | i4SmPm_RyaxC · 1 stories |
| 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
Artificial Intelligence I Replaced a 15-Minute Booking Process with a LangGraph AI Agent A step-by-step guide to building, running, and monitoring a stateful customer support agent using Python, LangGraph, and Langfuse. Soner Yıldırım Aug 2, 2026 7 min read Share Photo by Towfiqu barbhuiya on Unsplash I recently contacted a cleaning company to request a quote for cleaning a couch. They asked about its size and material and requested a picture of it. They also needed my address because travel time varies significantly across the city and therefore affects the price. After receiving the quote for the couch, I asked about apartment cleaning. This started another exchange of messages about the apartment’s size, the desired cleaning depth, and optional services.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
Discussion
0 commentsMore from Towards Data Science
