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Have ChatGPT Browse the Internet

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As of at this time you’ll be able to ask our ChatGPT AI chatbot questions on at this time’s merchandise at ProductHunt. Examples of questions you’ll be able to ask are;

  1. “What merchandise have been launched at ProductHunt at this time?”
  2. “What merchandise have been launched at ProductHunt at this time associated to advertising?”
  3. “What merchandise have been launched at ProductHunt at this time associated to AI and Machine Studying?”
  4. And so on …

And our AI chatbot will dynamically attain out to ProductHunt, scrape its web site, and return merchandise based on your query. Beneath is a screenshot.

The AI chatbot that browses the web



The way it works

The method is fairly straight ahead. As I defined yesterday about ChatGPT with actual time data, what we have carried out, is to permit for Hyperlambda code to be dynamically executed earlier than the context is shipped to ChatGPT. This enables us to execute Hyperlambda code on the server earlier than we invoke ChatGPT, have the Hyperlambda code return textual content, which we then ship to OpenAI’s APIs as we phrase questions.

Beneath is a coaching snippet illustrating the way it seems like from our Magic Dashboard.

The AI chatbot with real time information

Beneath is the Hyperlambda code between the {{}} elements such which you could copy and paste it into your personal cloudlet.

sign:magic.http.html2markdown-links
   url:"https://www.producthunt.com"
   max:int:50
   starts_with:"https://www.producthunt.com/posts/"
return:x:-
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Discover, you may as well paste within the code into your cloudlet’s Hyperlambda Playground to play with it, to grasp what end result it generates. That is in all probability helpful as you are testing this on different web sites to extract actual time data from different sources. Should you do, it should appear to be the next;

How we show real time information from ProductHunt by scraping it

The above Hyperlambda code will scrape the touchdown web page at ProductHunt. Then it should extract the primary 50 hyperlinks that begins with the URL of https://www.producthunt.com/posts/. From these Hyperlinks it should assemble Markdown resembling the next.

* [Library Control](https://www.producthunt.com/posts/library-control)
* [With this template you can organize your books](https://www.producthunt.com/posts/library-control)
* [Mixim Drafts](https://www.producthunt.com/posts/mixim-drafts)
* [Simple yet powerful note-taking app for productive minds](https://www.producthunt.com/posts/mixim-drafts)
* [ShopWallet: P2P Crypto Wallet](https://www.producthunt.com/posts/shopwallet-p2p-crypto-wallet)
* [Send and receive crypto from your contacts](https://www.producthunt.com/posts/shopwallet-p2p-crypto-wallet)
* [BuyLensAI](https://www.producthunt.com/posts/buylensai)
* [Track all your online items with AI](https://www.producthunt.com/posts/buylensai)
* [Marketing Inspiration Planner](https://www.producthunt.com/posts/marketing-inspiration-planner)
* [Capture, organize, and execute marketing ideas](https://www.producthunt.com/posts/marketing-inspiration-planner)
* [Core](https://www.producthunt.com/posts/core-86fd7892-c8ee-49b0-a3b2-fa32ce992a9e)
* [AI powered successor to Slack/MSTeams/Zoom](https://www.producthunt.com/posts/core-86fd7892-c8ee-49b0-a3b2-fa32ce992a9e)
* [Stocker](https://www.producthunt.com/posts/stocker)
* And so on ...
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This markdown is then substituting the elements ranging from {{ and ending at }}, leading to that your coaching snippet finally ends up trying like the next;

At ProductHunt at this time the next merchandise are the highest 50;

* [Library Control](https://www.producthunt.com/posts/library-control)
* [With this template you can organize your books](https://www.producthunt.com/posts/library-control)
* [Mixim Drafts](https://www.producthunt.com/posts/mixim-drafts)
* [Simple yet powerful note-taking app for productive minds](https://www.producthunt.com/posts/mixim-drafts)
* [ShopWallet: P2P Crypto Wallet](https://www.producthunt.com/posts/shopwallet-p2p-crypto-wallet)
* [Send and receive crypto from your contacts](https://www.producthunt.com/posts/shopwallet-p2p-crypto-wallet)
* [BuyLensAI](https://www.producthunt.com/posts/buylensai)
* [Track all your online items with AI](https://www.producthunt.com/posts/buylensai)
* [Marketing Inspiration Planner](https://www.producthunt.com/posts/marketing-inspiration-planner)
* [Capture, organize, and execute marketing ideas](https://www.producthunt.com/posts/marketing-inspiration-planner)
* [Core](https://www.producthunt.com/posts/core-86fd7892-c8ee-49b0-a3b2-fa32ce992a9e)
* [AI powered successor to Slack/MSTeams/Zoom](https://www.producthunt.com/posts/core-86fd7892-c8ee-49b0-a3b2-fa32ce992a9e)
* [Stocker](https://www.producthunt.com/posts/stocker)
* And so on ...

Discover, that is actual time data dynamically fetched simply now from ProductHunt's predominant web site, however solely shows the highest 50 articles.
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Combine with present software program

I wish to emphasize, we will actually combine this with (virtually) any software program you may need from earlier than, akin to your CRM system, ERP system, and so forth, and so forth, and so forth. One thing illustrated by asking our chatbot the next query;

What number of questions have you ever answered?

At which level our chatbot will rely the variety of data in our historical past database desk, and return the reply to you accordingly. Creating customized integrations akin to these are a ‘customized job” and one thing we cost further for, nevertheless it is doable, and resulting from Hyperlambda’s being a excessive stage programming language, usually a lot simpler than you suppose.



Wrapping up

All in all, this lets you simply configure your AI chatbot to browse the net, extract semantic actual time data, and show it as part of your chatbot’s solutions as customers are asking your chatbot questions. If you wish to have an analogous AI chatbot your self, you’ll be able to both contact us or create a 7-day free demo chatbot.

Thx for studying 😊

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