Connect Jobber and GPT-trainer to Build Intelligent Automations
Ready to use Jobber and GPT-trainer automations
Explore more automations built by businesses and experts
Automate Instagram Comment Replies with Smart DMs
- text is aiReplytoCommentSend a Private ReplyAdd Step
- Is guide commentReplytoComment GuideSend a Private Reply GuideAdd Step
- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Social Media Post Creation and Scheduling Across Multiple Platforms
- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
- YoutubeYoutube Video ScriptYoutube Description VideoCreate an Avatar VideoDelayRetrieve Shareable Link for a Video1Upload VideoAdd Step
- TwitterTwitter TweetPost a TweetAdd Step
- LinkedinLinkedin ArticleCreate a linkedin Article or URL postAdd Step
Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
- Notify teamSendMailAdd Step
- has reactSendDMMessage ReactAdd Step
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
new client is created
runs when new client is created
Do thisActions
Action is the task that follows automatically within your Jobber integrations.
Create QA Source
Create a QA source for a chatbot specified by chatbot uuid
Create URL Source
Creates a URL source for a chatbot specified by chatbot uuid.
Create Source Tag
Create a source tag for a chatbot.
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Frequently Asked Questions
To start, connect both your Jobber and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Jobber triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Jobber data is recorded in GPT-trainer. This includes choosing which data fields go into which fields of GPT-trainer, setting up custom formats, and filtering out unwanted information.
The data sync between Jobber and GPT-trainer typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Jobber and GPT-trainer. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Jobber
Jobber is the command centre for home service businesses. Our easy-to-use app powers sales, operations, and customer service—all in one place.
Learn MoreAbout GPT-trainer
GPT Trainer is a platform designed to enhance and customize the training of AI models, particularly those based on the GPT architecture. It provides tools and resources for developers and researchers to fine-tune and optimize AI models for specific tasks and applications.
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