diff --git a/components/airfocus/README.md b/components/airfocus/README.md
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+# Overview
+
+The Airfocus API provides a robust platform for managing product roadmaps, prioritization, and strategic decision-making tools by offering endpoints to manipulate and access items, views, and more. Integrating Airfocus with Pipedream allows you to automate interactions between your roadmap data and other tools like project management software, communication apps, or data analytics platforms. This opens opportunities for synchronizing updates, automating feedback collection, and reporting across different teams and tools efficiently.
+
+# Example Use Cases
+
+- **Automated Roadmap Updates from Slack Commands**: Use this workflow to let team members update the roadmap directly from Slack. Set up a Pipedream workflow that listens for specific commands in Slack (using the Slack app on Pipedream). When a command is detected, the workflow fetches the relevant data from the message (like feature name, status, or priority) and updates the corresponding item in Airfocus via the API.
+
+- **Sync Feature Requests from Jira to Airfocus**: Create a workflow where new Jira issues tagged as "feature request" are automatically added to Airfocus as new items. This workflow listens for new Jira issues using Pipedream's Jira app, filters those requests based on specific tags or fields, and creates corresponding entries in Airfocus, helping product managers quickly incorporate customer and team feedback into the roadmap planning process.
+
+- **Automated Weekly Roadmap Reporting via Email**: Set up a workflow that generates a weekly report of the roadmap progress and sends it via email to all stakeholders. This workflow can use a scheduled trigger in Pipedream to retrieve the latest roadmap information from Airfocus each week. It then formats this data into a readable report and uses an email service like SendGrid (available on Pipedream) to distribute the report, ensuring everyone is informed and aligned on the roadmap status.
diff --git a/components/domo/README.md b/components/domo/README.md
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+# Overview
+
+The Domo API provides a powerful interface for accessing and managing your Domo data, allowing for the creation, retrieval, updating, and deletion of datasets, as well as the manipulation of user and group data within the Domo platform. Utilizing this API on Pipedream, you can automate complex workflows that involve data analytics, reporting, and real-time business intelligence tasks. By leveraging the capabilities of Pipedream to connect Domo with other popular services and APIs, you can streamline data processes, enhance data-driven decision-making, and maintain up-to-date dashboards without manual intervention.
+
+# Example Use Cases
+
+- **Automated Reporting Pipeline**: - Automatically fetch sales data from a Shopify store using the Shopify API, process and transform this data within a Pipedream workflow, and then upload the transformed data to a Domo dataset. Use this updated dataset in Domo to refresh a sales performance dashboard that updates every 24 hours, providing up-to-date insights to stakeholders.
+
+- **Real-time Issue Tracker Analysis**: - Connect Domo to Jira (or another issue tracking platform) to automate the analysis of issue management. Each time a new issue is logged or an existing issue is updated in Jira, trigger a Pipedream workflow that updates the corresponding dataset in Domo. This can help in generating real-time reports that track bug fixes, feature requests, and overall issue resolution times, helping teams to improve efficiency and response times.
+
+- **Marketing Campaign Performance Sync**: - Integrate Domo with Facebook Ads via Pipedream to automatically sync campaign performance data into Domo datasets at regular intervals. Analyze and correlate this data with other marketing metrics stored in Domo to gain a comprehensive view of marketing effectiveness across multiple platforms. Use this combined data to adjust strategies in real-time, optimizing ad spend and targeting for better ROI.
diff --git a/components/firefish/README.md b/components/firefish/README.md
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+# Overview
+
+The Firefish API allows users to automate and integrate recruitment processes by connecting their Firefish software with other tools and platforms on Pipedream. This connectivity provides enhanced capabilities in managing candidate data, job postings, and recruitment campaigns efficiently. Users can automate tasks such as syncing candidate information, updating job postings, and triggering communication based on specific triggers in the recruitment pipeline.
+
+# Example Use Cases
+
+- **Automate Candidate Sourcing**: When a new job is created in Firefish, automatically fetch potential candidates from LinkedIn using their API, and insert these candidates into Firefish. This helps streamline the sourcing process without manually searching for and entering candidate details.
+
+- **Sync Candidate Updates to Google Sheets**: Set up a workflow where any update to a candidate’s status in Firefish triggers a corresponding update in a Google Sheets spreadsheet. This is useful for recruiting teams to have real-time visibility of candidate statuses across various recruitment stages without having to log into Firefish.
+
+- **Automated Candidate Feedback Collection via Email**: After an interview is logged in Firefish, automatically send a personalized feedback form via email using the SendGrid API. Collect the feedback, and upon completion, update the candidate's record in Firefish. This ensures timely collection and storage of interview feedback, enhancing the decision-making process.
diff --git a/components/grain/README.md b/components/grain/README.md
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+# Overview
+
+The Grain API allows users to interact programmatically with Grain’s video highlight features. It enables the automation of capturing meaningful moments from video calls, integrating these moments into various productivity and communication tools, and the management of video content and metadata. By leveraging this API on Pipedream, users can create powerful workflows that enhance project documentation, accelerate team communication, and enrich CRM entries with real-time video data.
+
+# Example Use Cases
+
+- **Automated Meeting Summaries to Slack**: After a video call on your preferred platform, use Grain to select key moments or highlights. Automatically send these highlights and a brief summary directly to a dedicated Slack channel to keep the team updated. This workflow can be ideal for remote teams who want to stay aligned on decisions and actions discussed during meetings.
+
+- **Enhance CRM with Video Notes**: Integrate Grain with a CRM system like Salesforce. Whenever a sales call is recorded, use Grain to tag and extract important discussions or decisions, then log these in the corresponding Salesforce contact or deal records. This provides sales teams with rich, contextual data to enhance client interaction histories and prepare better for follow-ups.
+
+- **Project Documentation on Confluence**: For project management, automatically push selected video highlights from Grain into a Confluence page dedicated to the project. Include key decisions, milestones, or explanations directly from your project meetings, enriching the project's documentation and making it easier for any team member to catch up or review project statuses.
diff --git a/components/ironclad/README.md b/components/ironclad/README.md
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+# Overview
+
+The Ironclad API enables automation and integration of legal operations processes such as contract management and workflow approval. By harnessing this API on Pipedream, you can automate routine legal tasks, sync contract data across business systems, and trigger actions based on contract lifecycle events. This streamlining of legal operations can significantly cut down on manual overhead and reduce the risk of errors.
+
+# Example Use Cases
+
+- **Automate Contract Approval Notifications**: Trigger real-time notifications via Slack or email whenever a new contract is created or an existing one is updated in Ironclad. This ensures that relevant team members are instantly informed about changes and can take appropriate actions swiftly.
+
+- **Sync Contracts with CRM Systems**: Automatically update CRM records in Salesforce when contracts are signed or modified in Ironclad. This keeps sales teams informed about the status of contracts related to their accounts, improving alignment between legal and sales operations.
+
+- **Conditional Contract Archiving**: Set up a workflow to archive contracts on Google Drive or Dropbox when they reach the end of their lifecycle or are terminated. This workflow can include conditions based on contract data fetched from Ironclad, ensuring that only relevant documents are archived appropriately.
diff --git a/components/mailgenius/README.md b/components/mailgenius/README.md
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+# Overview
+
+The MailGenius API helps examine your emails to ensure they don't get caught by spam filters. By calling this API through Pipedream, you can automate the process of testing and optimizing your email deliverability. This is crucial for email marketing campaigns, transactional emails, and any application where email delivery success is a must. With Pipedream’s capability to integrate various services, you can trigger workflows based on these insights to enhance your email strategies.
+
+# Example Use Cases
+
+- **Automated Email Optimization Workflow**: After a marketing team submits their email content via a Google Form, use Pipedream to send this content to the MailGenius API. Analyze the results, and if certain spam triggers are identified, automatically format the email content to reduce spam flags and resend it to the team for review.
+
+- **Periodic Email Health Check**: Set up a recurring Pipedream workflow that sends test emails through the MailGenius API from your company's main email domains. Collect these insights and automatically generate reports using Google Sheets or send them via Slack to your IT or marketing team, ensuring ongoing optimization.
+
+- **Transactional Email Trigger from E-commerce Platform**: Whenever a new order is placed on an e-commerce platform like Shopify, use Pipedream to trigger an email through your SMTP server. Before sending, pass the email content through the MailGenius API to check for any potential deliverability issues. Adjust if necessary and ensure high deliverability rates for critical transaction emails.
diff --git a/components/onelogin/README.md b/components/onelogin/README.md
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+# Overview
+
+OneLogin API on Pipedream enables users to automate and manage identity and access management tasks efficiently. It provides the capability to handle user authentications, manage users, roles, and groups, and to secure access to applications with real-time security insights. Integrating OneLogin with Pipedream allows for the creation of automated workflows that reduce manual overhead and enhance security protocols by leveraging real-time triggers and actions across various services.
+
+# Example Use Cases
+
+- **Automated User Onboarding**: When a new employee is added to an HR system like BambooHR, automatically create a new user account in OneLogin, assign the appropriate roles and permissions, and send a welcome email with login details using SendGrid or a similar email service.
+
+- **Real-time Security Alerts**: Set up a workflow that monitors OneLogin for any unusual login attempts or security breaches. When a suspicious activity is detected, automatically send an alert to a Slack channel and create an incident ticket in a tool like Jira to initiate an immediate response.
+
+- **Sync User Roles Across Platforms**: Ensure user roles and access rights are consistent across multiple platforms by creating a workflow that updates user roles in OneLogin whenever there’s a change in a connected system like Salesforce or GitHub. This helps in maintaining consistent access controls and compliance across all business applications.
diff --git a/components/pingone/README.md b/components/pingone/README.md
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+# Overview
+
+The PingOne API provides identity management solutions that streamline user experiences through Single Sign-On (SSO), multi-factor authentication, and user management. Leveraging this API on Pipedream, developers can automate identity-centric processes, enhance security protocols, and integrate seamlessly with other services. This API becomes particularly powerful when used to auto-sync user data across platforms, manage user access in real-time, and automate responses to security events.
+
+# Example Use Cases
+
+- **User Provisioning and Deprovisioning Automation**: Automatically manage user lifecycles by provisioning or deprovisioning users in PingOne based on events in HR systems like BambooHR or Workday. When a new employee is added in the HR system, a Pipedream workflow triggers the creation of a new user identity in PingOne, assigning appropriate permissions and roles. Conversely, when an employee leaves, their access is revoked, enhancing security.
+
+- **Dynamic Multi-factor Authentication (MFA) Enforcement**: Use PingOne for conditional MFA enforcement based on user activity logs from services like Slack or GitHub. If abnormal activity (like accessing from a new device or location) is detected, a workflow can trigger PingOne to require additional authentication steps for those users, ensuring an extra layer of security.
+
+- **Real-Time Security Alerts and Actions**: Integrate PingOne with monitoring tools like Datadog to receive real-time alerts on security issues. For instance, if an anomaly or breach is detected, a Pipedream workflow can automatically trigger lockdown procedures or alert administrators via communication apps like Slack, streamlining the response to potential threats.
diff --git a/components/rejoiner/README.md b/components/rejoiner/README.md
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+# Overview
+
+The Rejoiner API is designed to help e-commerce businesses automate their email marketing campaigns, specifically focusing on cart abandonment, win-back campaigns, and personalized product recommendations. By leveraging this API on Pipedream, users can create targeted, event-driven workflows that engage customers based on their behaviors and actions on your site, helping to increase conversions and retain customers.
+
+# Example Use Cases
+
+- **Cart Abandonment Email Trigger**:
+  Use the Rejoiner API to monitor cart status. When a cart is abandoned, trigger an email via Rejoiner directly from Pipedream. Enhance this by integrating with Shopify to pull in recent user activity and cart contents, ensuring the email content is personalized and relevant.
+
+- **Win-Back Campaign Activation**:
+  Set up a workflow where customer data from a platform like Salesforce is used to identify customers who haven't made a purchase within a specific timeframe. Use this data to trigger a Rejoiner-driven email campaign aimed at winning back these customers, possibly offering them a special discount or update on new products.
+
+- **Product Recommendation Engine**:
+  Combine Rejoiner with user behavior data from your website (captured via Google Analytics) to craft and send personalized product recommendations. When a user views certain products but does not make a purchase, trigger a follow-up email via Rejoiner suggesting similar items or offering a limited-time discount.
diff --git a/components/tess_ai_by_pareto/README.md b/components/tess_ai_by_pareto/README.md
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+# Overview
+
+Tess AI by Pareto is an artificial intelligence tool that can automate, optimize, and predict business outcomes based on data. Utilizing this API on Pipedream allows you to integrate real-time decision-making capabilities and predictive analytics into your workflows. This integration can help streamline processes, enhance data-driven decision making, and automate complex analytical tasks without the need for extensive AI expertise.
+
+# Example Use Cases
+
+- **Customer Segmentation Automation**: Automate the process of segmenting customers based on their behavior and preferences using Tess AI. This data can then be pushed to a CRM like Salesforce or HubSpot, enabling personalized marketing campaigns and improving customer engagement.
+
+- **Predictive Inventory Management**: Connect Tess AI with ERP systems like SAP or Oracle to forecast product demand. This workflow can analyze historical sales data and predict upcoming needs, helping businesses optimize inventory levels, reduce holding costs, and improve supply chain efficiency.
+
+- **Real-time Risk Assessment**: Use Tess AI to assess and predict financial risks by analyzing transaction data in real-time. This can be integrated with financial platforms like QuickBooks or Stripe to automatically adjust credit limits or trigger alerts if a potentially risky transaction is detected.