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Zain Saeed🙏 3 karmaMay 20, 2026@Team PulseI started using Team Pulse recently, and I really like how simple it feels. Managing projects, tasks, and pipelines in one place is smooth, clean, and easy to understand without overcomplicating the workflow. -
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Helping brands get more traffic and conversion from AI search in the most effective way. Also including AI presence management features for individuals. -
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Building multi-agent AI systems shouldn’t require wrestling with messy Python boilerplate, cloud subscription or complex local setups. I built AgentSwarms (AgentSwarms.fyi) to solve this. It’s an interactive, in-browser visual sandbox for learning, building, testing, and orchestrating multi-agent AI workflows. Instead of relying on a single AI chatbot that easily hallucinates, AgentSwarms lets you drag and drop specialized AI agents—like data extractors, code reviewers, and SQL query nodes—to handle complex tasks reliably. Key features for builders: Visual Edge Tracing: Stop guessing why your AI failed. Click any connection line to see the exact JSON data passing between agents in real-time. In-Browser Execution: Powered by local DuckDB WASM. No backend setup required. Enterprise Templates: Test reverse-engineered Agenitic AI architectures for Cybersecurity, Finance, and E-commerce and 10+ industries right on the canvas. If you are tired of black-box AI debugging and want to master Agentic AI orchestration visually, come try the sandbox for free! Let me know what you think of the new execution history features. 🚀
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"Finally — an AI cost tool that actually aligns incentives" I've been working in enterprise IT and AI infrastructure for years, and Lexi is one of the most elegantly designed products I've seen in this space. The core insight is simple but powerful: don't charge unless you save money. That alignment alone sets it apart from every other API middleware I've tested. The integration literally took under two minutes — one URL change in our config, and we were live across multiple providers. The cost transparency in the response headers is genuinely useful for us as a team building on top of AI; we can now log, display, and report on exact token costs per request. The O(1) memory compression is the real technical differentiator. Long AI conversations tend to degrade in quality and balloon in cost — Lexi solves both problems simultaneously. For anyone running AI in production at any scale, this is infrastructure you didn't know you were missing. Highly recommended for developers, startups, and enterprise teams alike.
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