Impact of Using Multiple AI Models in the Same Table

Using different AI models in the same table can be beneficial as each model has its unique strengths: 1. Claygent Neon excels at: • Answer formatting and data extraction • Formatting results into multiple columns • Extracting various data points from a single run 2. GPT-4 and Claude Opus are better for: • Enhanced reasoning capabilities • Testing data accuracy • Handling complex analytical tasks It's recommended to experiment with different models to find the best fit for your specific needs. Each model processes prompts slightly differently, so you can select the most appropriate one for each task in your workflow.

Sources: Claygent: AI Web Scraper [CRM Enrichment] - Clay University Use AI integration overview | Documentation | Clay University

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Hi Aditya K.! This thread was recently closed by our Support team. If you have a moment, please share your feedback:

Here's how to integrate PhantomBuster with Clay: 1. Initial Setup: • Go to Settings > Connections • Click "+ Add Connection" and select PhantomBuster • Enter your PhantomBuster API key and name your account key 2. Using PhantomBuster in Clay: You can use PhantomBuster in two main ways: For New Tables: ** From Workspace Home, click "+ Create new" and search for "PhantomBuster" ** Select your PhantomBuster account ** Specify the Agent ID For Existing Tables: ** Open your table ** Select Actions > Import ** Configure PhantomBuster as your data source Available Actions: ** Pull Data: Retrieve data from PhantomBuster agents ** Push Data: Send data to PhantomBuster for processing You can optionally choose to fetch only the latest container or specify a particular Container ID for your data imports.

Sources: Phantombuster integration overview | Documentation | Clay University Phantombuster integration overview | Documentation | Clay University

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Here's how to push data into PhantomBuster through Clay: 1. Select your PhantomBuster account 2. Specify the Agent ID you want to push data into 3. Set up necessary platform connections: • For Slack: Use the PhantomBuster browser extension to connect and retrieve your cookie (named "d") • For LinkedIn: Either use the PhantomBuster extension to connect or manually locate your "li_at" cookie • For Twitter: Provide profile URLs in one of these formats: • Single Twitter profile URL • Public Google Sheet with URL list • Public CSV file with URLs • For Google: Submit searches as: • Keywords • Google Maps search URL • Public Google Sheet with keywords/URLs • Public CSV with keywords/URLs 4. Fill out the required agent fields based on your specific needs 5. Configure your run settings This integration enables you to push data from Clay directly into PhantomBuster agent executions, allowing you to automate various scraping and processing actions within the PhantomBuster agent library.

Sources: Phantombuster integration overview | Documentation | Clay University Push Data with PhantomBuster

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For LinkedIn data pushing to PhantomBuster, you have two options: 1. Using PhantomBuster Extension (Easier Method): • Simply click the "Connect to LinkedIn" button • The extension will automatically retrieve your "li_at" cookie 2. Manual Cookie Location Method: • Locate your LinkedIn cookie named "li_at" in your browser • Input this cookie value manually into the connection settings Both methods will establish the necessary LinkedIn connection for pushing data through PhantomBuster.

Source: Phantombuster integration overview | Documentation | Clay University

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When you encounter a "Phantom argument is invalid" error while using the LinkedIn cookie, this typically means there's an issue with the argument format. Here's how to resolve it: 1. Make sure your "li_at" cookie value is: • Correctly copied from LinkedIn • Not containing any extra spaces or characters • Current and valid 2. For the most reliable method: • Use the PhantomBuster browser extension • Click the "Connect to LinkedIn" button • Let it automatically retrieve your cookie If you're manually entering the cookie, double-check that you're using the exact cookie named "li_at" from your LinkedIn session and that the argument structure matches PhantomBuster's requirements exactly.

Source: Phantombuster integration overview | Documentation | Clay University

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We haven't heard back, so we're going to go ahead and close this out. Feel free to click the "Talk to a Human" button above if you still need help!

This error occurs when the data format you're trying to push to PhantomBuster doesn't match their required schema. Here's how to resolve it: 1. Check that your argument structure follows PhantomBuster's schema exactly 2. Ensure that: • Your data is linked to the correct column • The format matches PhantomBuster's requirements exactly • There are no validation issues with the data structure When pushing data to PhantomBuster, you'll need to: 1. Specify the correct Agent ID 2. Provide the required input fields for that specific agent 3. Ensure your data matches the expected format for the PhantomBuster agent you're using If you continue experiencing issues, try double-checking the agent's required input format in PhantomBuster's documentation for that specific agent.

Source: Push Data with PhantomBuster

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Hey there, thanks for reaching out! Looking into this now. :)

Hey there, looking at the table, I’m not seeing any PhantomBuster columns. However, I do see an Apify column running the "linkedin-post-search-scraper." Did PhantomBuster not work well, and you switched to this instead? Just to clarify, PhantomBuster works like this: ** There are two columns: one to push data to your Phantom and another to pull the scraped data back. ** First, we need to run the column that pushes data to PhantomBuster—this generates a container ID and scrapes the data. ** Then, the second column (which runs after the first) uses that container ID to *retrieve the scraped data from the Phantom. Let me know if that helps or if there's anything else I can do! :)

Hey there, if you're trying to copy a prompt or AI column setup you can either use the duplicate function if you're hoping to keep this on the same table/ Or you can save this prompt as a template in which you can use this in any other AI column in other tables. Recorded a quick video on this below. :) Let me know if this helps!

Hey - Do you mind sending the link (url) to the table so we can take a look?