This workflow automates the conversion of raw hiring intake meeting transcripts. It triggers when a new Google Doc is created containing the transcript. An AI then processes this raw text, transforming it into a structured hiring brief and a scorecard template, which is subsequently saved into a new Google Doc.
This workflow starts when a user emails a raw voice transcript. It then retrieves style examples from a Google Doc to guide the AI. An AI node processes the transcript, transforming it into a polished, coherent LinkedIn post. Finally, the workflow emails the professional content, along with a suggested image description, back to the user.
This workflow is manually triggered to read a raw meeting transcript from a specified Google Docs file. It then sends the transcript to an AI to generate a structured project summary. Finally, it creates a new Google Docs file in a designated Google Drive folder with the AI-generated summary content.
This workflow monitors a Google Drive folder for newly uploaded PDF resumes. It automatically extracts text from the PDF using OCR and then utilizes AI (GPT-4) to extract structured candidate information, such as name, job title, and experience. The extracted data is then used to update an existing row or add a new row in a Google Sheet serving as a candidate database. Finally, the hiring team is notified via Slack with a summary of the new or updated candidate profile.
This workflow is triggered when a new row is added to a Google Sheet containing a document link. It processes the document (e.g., a PDF resume) by extracting its text content. Using prompts fetched from another Google Sheet, an AI extracts specific fields of information. Finally, the extracted data is updated back into the original Google Sheet row.
This workflow automates the screening and evaluation of job applications. When a candidate submits their application, their CV is uploaded to Google Drive. The system then uses AI to extract candidate information from the CV, retrieves the relevant job description from Google Sheets and Google Drive, and evaluates the candidate against the job requirements. Finally, it stores the results in Google Sheets and sends conditional notifications via Gmail or Slack.
This workflow automates the screening of job applicants. When a new job application (e.g., via Google Form with an attached CV) is received, the workflow extracts text from the submitted PDF CV. An AI then analyzes the CV to generate a compatibility rating, which is saved as a new row in a Google Sheet. Finally, both the candidate and the HR team receive email notifications regarding the application.