The most recent round of our You Did WHAT With Tines?! competition has officially wrapped, and the results are in!
This summer, we asked our community of builders to share the best and brightest workflows they built with Tines. We were blown away by the level of creativity in this year’s entries, particularly those pushing the boundaries of innovation to solve real-world challenges with our new AI-powered capabilities.
One of the best things about You Did WHAT With Tines?! is that winning entries find a new home in our library as pre-built workflows, where you can quickly import and adapt them to your unique needs.
So let’s bring on the workflows! Here are our 2024 You Did WHAT with Tines?! winners.
The grand prize winner
Workflow: Analyze SMS phishing with the AI action
Builder: Michael Fischler, Roblox
Michael’s threat detection and response story had our judges particularly impressed and excited to review. The story helps employees report SMS phishing attempts using a Tines page and the AI action. Employees share a screenshot and any other context through the page, and the AI action then analyzes and creates a case in Jira for further investigation. We were particularly impressed by the business impact of this story. Responding to each report manually can be time-consuming and error-prone, making it difficult for security teams to keep up with the volume of threats. Michael’s story reduces manual, repetitive work for the security team, and improves the speed and accuracy of threat detection. It also promotes a culture of cybersecurity by making it easy for employees to be vigilant and reinforces security-conscious decision-making.
Another highlight is Michael’s use of an effective AI prompt. The prompt fields are descriptive, with trigger loops that validate information before passing them through to the subsequent steps in the flow. Definitely check out Michael’s story for yourself and see how you can make it a part of your workflows!
In Michael’s own words:
Employees can use this simple form to upload a screenshot of a suspicious text message. We use Claude Sonnet multi-modal input to analyze the content, extract IOCs, and provide an initial triage to the employee. A case is created for the SOC, and escalated if multiple text messages are reported with matching numbers or URLs. We utilize prompt engineering from the paper “Principled Instructions Are All You Need” to improve AI output.
Analyze SMS phishing with the AI action
From the submitter: Employees can use this simple form to upload a screenshot of a suspicious text message. We use Claude Sonnet multi-modal input to analyze the content, extract IOCs, and provide an initial triage to the employee. A case is created for the SOC, and escalated if multiple text messages are reported with matching numbers or URLs. We utilize prompt engineering from the paper "Principled Instructions Are All You Need", to improve AI output.
Tools
Community author
Michael Fischler at Roblox
Our category winners
AI efficiency
“Generate a CrowdStrike RFM report with AI” by Tom Power at University of British Columbia
This automated workflow monitors Falcon Sensor Reduced Functionality Mode (RFM) status across hosts. It generates regular reports using automatic mode, which generates custom code using AI. This enables management to track trends in RFM occurrences over time and facilitates proactive system health management.
Without the power of AI in Tines, this process would normally take the UBC SecOps team 30 minutes for each report. As a result of this workflow, they’ve saved over 25 hours a year just by running this story with Tines. See what your team could save by checking out their story here!
Everyday workflows
“Retrieve raw browser history artifacts from devices in CrowdStrike” by Ahmad Aziz at Booking.com
This workflow enables incident response (IR) and security operations (SOC) analysts to retrieve raw browser artifacts from endpoints using CrowdStrike. The device name and username are entered into a Tines page, which kicks off a review of the browser history. From there, teams can analyze the collected data across their tools.
We appreciated Ahmad’s understanding of Tines in this story, and how he was able to expand on Tines fundamentals with tools like CrowdStrike to do even more. Have a different type of incident you want to explore? This story could work for you too! See how here.
Building apps
“Run a forensics lab in Tines” by Todoran Horia
This Tines-centric story emulates core functions of forensic tools like FTK Toolkit and Autopsy, focusing on parsing disk images formatted with the FAT file system type. It integrates AWS for data storage and system connectivity, offering a straightforward approach to digital forensics within the platform's constraints.
This story was a cool way of showing the possibilities of what you can build with Tines! Import their story into your own tenant to give it a go.
Tiny Tines
“Monitor Tines actions with records” by Charles Himmelein at Capital Group
This story addresses the challenge of monitoring the overall health of actions across all stories in a tenant. By collecting comprehensive metrics, it helps you proactively identify and manage various failure types—including sporadic, time-based, and logical issues—enhancing overall workflow reliability and efficiency.
Short but sweet, Charles’s story is a great way of showing how you can monitor the overall health of your tenant without overcomplicating it. Try their story out for yourself.
Tines for fun
“Get reservation information and statistics for a local gym” by Marti B.
This Tines automation analyzes gym occupancy data from online reservation platforms, particularly for climbing gyms. It generates visual charts via QuickChart and delivers them through Telegram, helping users identify optimal booking times. Adaptable to various booking platforms with APIs, it eases the decision process for gym-goers who want less crowded sessions.
Because nothing is worse than unexpectedly showing up to a crowded gym session! See how you can use their story for yourself here.
Getting an up-close look at these innovative and impactful workflows has been truly inspiring, and I want to acknowledge the work of our team who made it happen. A special thanks to Hannah Roy and Megan O’Hearn for leading the charge on this project and to our team of graders, led by Whitney Young and Michael Tolan, for the incredibly tough task of selecting a winner in each category.
View the full list of winners - and check out our Library where we have over 100 stories submitted by our community of builders, waiting to be tried out by you.
And if you’re waiting for your own Tines story to be recognized, we will run another round of You Did WHAT With Tines?! in Spring 2025. Stay tuned!