Wrike Feature Request: Enhanced AI Image Analysis for Error Detection in Tasks
Although we already have generative AI functionality (thank you), I’ve noticed an opportunity to enhance Wrike’s AI-based functionality that could streamline workflows and reduce errors with uploaded image design proofs and camera-ready art.
It would be beneficial if Wrike could expand the generative AI features to include AI-driven image scanning capabilities that detect common errors in uploaded images.
Example: Specifically, features that identify:
• Spelling and grammatical errors
• Incorrect dates
• Color issues that may not be suitable for color-blind users
Implementing such a feature would allow for real-time, automated checks within the existing workflow, eliminating the need for separate checks through external tools. This would not only save time but also enhance the accuracy and inclusivity of our projects.
This is already possible within ChatGPT and other generative AI chatbots. However, having it part of the typical workflow would automate error detection, especially if we could have a saved pre-written prompt that looks for specific issues like spelling errors.
Thank you
Great idea - smart way to leverage AI into the workflow!
I envision a contextual enhancement, akin to ChatGPT's custom instructions, to significantly refine the automated analysis of image or PDF uploads for error detection. This feature would utilize a customer-specific style guide to navigate nuances and idiosyncrasies unique to each user. Marketing agencies, which often manage projects requiring meticulous attention to detail in image and design proofs, would particularly benefit from an integrated, AI-driven error detection feature. Such a tool could save time, reduce errors, and enhance client satisfaction across all project stages, making it an invaluable addition to the workflow.
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Lisa Community Team at Wrike Wrike Product Manager Become a Wrike expert with Wrike Discover
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