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My AI Memory Agent Is Live
I've been working on an AI memory agent using n8n, and it's been a wild ride. I've connected Telegram Trigger and Google Sheets to store conversation history, and integrated Groq AI for a more human-like experience. My tech stack is pretty sweet, and I'm excited to see where this project takes me.
#n8n #automation #TelegramTrigger #GoogleSheets
Follow for more: https://go.phonezait.de/
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Parley is an AI agent template built in Framer that positions itself as more than just a chatbot, it’s designed to act like a proactive digital partner. Instead of only answering questions, Parley can plan, delegate, and execute tasks across email, calendar, research, and integrations with tools like Slack, Notion, GitHub, and more. It emphasizes being context-aware, remembering your preferences and past decisions, and handling multi-step workflows with human-in-the-loop control
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Currently building autonomous AI systems that actually survive production — not just the demo.
Most AI projects work beautifully in a controlled test and then quietly fall apart on real data, edge cases, and concurrency. I focus on the unglamorous engineering that closes that gap: data validation pipelines, boundary checks, error handling, and knowing exactly where deterministic logic should own the decision instead of the model.
Recent work includes agentic workflows built with Python and FastAPI, an LLM reasoning layer for the genuinely ambiguous decisions, and automation orchestrated through Make with MCP. My background is technical support and operations, which means I design for the failure case first — I've spent years watching systems break in ways their builders never anticipated.
If you have an AI pilot that impressed everyone in the demo and then stalled on the way to something dependable, that gap is exactly what I build for.
Open to Applied AI / AI automation projects.
Keep it up!