I've been developing an AI Slackbot to enhance marketers' work efficiency over the past few months — and it's now in the alpha testing phase with our in-house marketers.
Key features
- Web search–based responses
- Image generation & editing (resize, upscaling, background removal, etc.)
- Multi-turn editing with an 'Image Tag' system - Clearly specify target images in complex chat history.
- Copywriting validation with RAG
- Automatic task assignment system built with LangGraph workflows
- Recoverable workflows & chat history management with LangGraph checkpoints + PostgreSQL
Limitations & To-Do:
- Difficult to implement complex interactive UI due to limitations of the Slack SDK
- Poor performance in multi-lingual typography editing in image (especially Korean)
- Exception handling — agentic AI systems demand a lot of exception management, so adopting them requires careful consideration...
Feel free to share any advice or questions 🙂
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