I built a custom Slack inbox. It was easier than you think. | Yash Tekriwal (Clay)

· Source: How I AI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

Yash Tekriwal, Head of Education at Clay, demonstrates how he uses AI to manage a deluge of Slack notifications and emails, often exceeding 100-150 daily. He initially built a custom Slack digest using OpenClaw in Discord, which categorizes messages into "action required," "need to read," and "FYI" buckets, reducing his critical notifications to 30-40. This system, while effective, still presented a long text-based list. Tekriwal then enhanced this solution by building a Kanban-style dashboard UI using Perplexity Computer, which offers multi-model orchestration, concurrent task execution, and native integration with numerous applications like Google Drive, Gmail, Notion, and Asana. This dashboard allows for visual prioritization, deep linking to original messages, and an "archive all" button for FYIs, significantly streamlining his workflow. The discussion also explores the future of SaaS, suggesting a "Cambrian explosion" of niche, custom-built applications that can be monetized or acquired.

Key takeaway

For product leaders and AI engineers struggling with information overload, consider building custom AI-powered tools to optimize personal workflows. Your team can leverage platforms like Perplexity Computer to create tailored dashboards that integrate with existing SaaS applications, transforming generic notification streams into prioritized, actionable task lists. This approach not only boosts individual productivity but also opens avenues for developing niche, monetizable applications that address specific user needs not met by off-the-shelf software.

Key insights

AI can transform overwhelming digital communication into manageable, prioritized workflows through custom tools.

Principles

Method

Prototype with an AI coding agent (e.g., OpenClaw) to build a deterministic data organization system, then use a multi-model AI platform (e.g., Perplexity Computer) to create a custom UI for enhanced usability and integration.

In practice

Topics

Best for: AI Engineer, Software Engineer, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by How I AI.