<!-- mobian-agent-page publisher="dailydev" canonical="https://daily.dev/posts/agents-in-production-webinar-from-a-chatbot-to-a-tool-you-can-rely-on-7wnl8usxy" -->

---
title: Agents in Production Webinar: From a Chatbot to a Tool...
description: A free webinar on 19 November 2026 covers how to turn an R-based AI agent prototype into a production-ready tool. Pedro Silva, Principal Data Scientist at...
canonical: https://daily.dev/posts/agents-in-production-webinar-from-a-chatbot-to-a-tool-you-can-rely-on-7wnl8usxy
twitter:card: summary_large_image
twitter:site: @dailydotdev
og:type: website
og:site_name: daily.dev
og:title: Agents in Production Webinar: From a Chatbot to a Tool You Can Rely On | daily.dev
og:description: A free webinar on 19 November 2026 covers how to turn an R-based AI agent prototype into a production-ready tool. Pedro Silva, Principal Data Scientist at...
og:url: https://daily.dev/posts/agents-in-production-webinar-from-a-chatbot-to-a-tool-you-can-rely-on-7wnl8usxy
og:image: https://api.daily.dev/og/posts/7wNl8usXy.png
og:image:alt: Agents in Production Webinar: From a Chatbot to a Tool You Can Rely On
og:image:width: 1200
og:image:height: 630
og:locale: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Agents in Production Webinar: From a Chatbot to a Tool You Can Rely On

**[R-bloggers](https://daily.dev/sources/rbloggers)** · 3 min read · 0 upvotes · 0 comments

## Summary

A free webinar on 19 November 2026 covers how to turn an R-based AI agent prototype into a production-ready tool. Pedro Silva, Principal Data Scientist at Jumping Rivers, will show how to build agents in R where the language model picks which function to call, while R performs the actual calculations. This keeps numeric answers grounded in R rather than the model. The session also addresses managing separate user conversations, testing agents with variable outputs, logging actions, and applying safeguards. It runs online at 1:15pm UK time and is aimed at data scientists and R developers building or deploying agents.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.r-bloggers.com/2026/10/agents-in-production-webinar-from-a-chatbot-to-a-tool-you-can-rely-on>

## Questions this post answers

### How can I make an AI agent give consistent numeric answers instead of letting the LLM do the math?

Build the agent so the language model only decides which function to call, while existing R functions perform the actual calculations. This way the numeric results always come from deterministic R code rather than from the model itself, avoiding the inconsistent or incorrect answers you get when an LLM computes numbers directly.

_Developers building reliable data agents track practical approaches like this one on daily.dev._

## Similar posts on daily.dev

- [Your AI agent aced the demo. Your data may still derail it.](https://daily.dev/posts/your-ai-agent-aced-the-demo-your-data-may-still-derail-it--pm6ws90es) · The New Stack · 0 upvotes · 0 comments
- [Building and Deploying AI Agents in Production: Lessons I Learned](https://daily.dev/posts/building-and-deploying-ai-agents-in-production-lessons-i-learned-fmxhggdbm) · Medium · 1 upvotes · 0 comments
- [AI in Production Conference Summary \(2026\)](https://daily.dev/posts/ai-in-production-conference-summary-2026--vwzzzu6fh) · R-bloggers · 1 upvotes · 1 comments

---

Tags: [#data-science](https://daily.dev/tags/data-science), [#ai-agents](https://daily.dev/tags/ai-agents), [#r](https://daily.dev/tags/r)

[View this post on daily.dev](https://daily.dev/posts/agents-in-production-webinar-from-a-chatbot-to-a-tool-you-can-rely-on-7wnl8usxy)

```json
{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]}
{"@context":"https://schema.org","@type":"TechArticle","headline":"Agents in Production Webinar: From a Chatbot to a Tool You Can Rely On","url":"https://daily.dev/posts/agents-in-production-webinar-from-a-chatbot-to-a-tool-you-can-rely-on-7wnl8usxy","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/agents-in-production-webinar-from-a-chatbot-to-a-tool-you-can-rely-on-7wnl8usxy"},"datePublished":"2026-10-28T01:10:57.971Z","dateModified":"2026-10-28T03:57:41.367Z","description":"A free webinar on 19 November 2026 covers how to turn an R-based AI agent prototype into a production-ready tool. Pedro Silva, Principal Data Scientist at...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/f76cba027f2d6b8cbd94accafa41bc6c?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/f76cba027f2d6b8cbd94accafa41bc6c?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"R-bloggers","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"R-bloggers","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/98bcbbdf72774292a55ceda8f2277f1e","url":"https://daily.dev/sources/rbloggers"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/agents-in-production-webinar-from-a-chatbot-to-a-tool-you-can-rely-on-7wnl8usxy","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"data-science,ai-agents,r","timeRequired":"PT3M"}
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"R-bloggers","item":"https://daily.dev/sources/rbloggers"},{"@type":"ListItem","position":3,"name":"Agents in Production Webinar: From a Chatbot to a Tool You Can Rely On"}]}
{"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/agents-in-production-webinar-from-a-chatbot-to-a-tool-you-can-rely-on-7wnl8usxy#faq","mainEntity":[{"@type":"Question","name":"How can I make an AI agent give consistent numeric answers instead of letting the LLM do the math?","acceptedAnswer":{"@type":"Answer","text":"Build the agent so the language model only decides which function to call, while existing R functions perform the actual calculations. This way the numeric results always come from deterministic R code rather than from the model itself, avoiding the inconsistent or incorrect answers you get when an LLM computes numbers directly. Developers building reliable data agents track practical approaches like this one on daily.dev."}}]}
```

