AI Agent Development Projects in PakistanAI Agent Development Projects in Pakistan
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Cover image for My AI agent was working… but I had no idea why it worked som...
My AI agent was working… but I had no idea why it worked sometimes and completely fell apart other times. That’s when I plugged in LangSmith , and realized I’d been flying blind. Suddenly, my “agentic AI” wasn’t a black box anymore, I could see everything: Every tool call, LLM invocation and retry the agent made, also token burned & cached, state transition across agent steps What surprised me most wasn’t the bugs , it was the waste. One trace showed my system prompt alone was 6.5k tokens. Not because it needed to be… but because I never saw it before. So I fixed it. Refactored prompts -> 1.5k tokens, same output quality Switched to dynamic system prompts, injected only when complexity demanded it Lesson learned: If you’re building agentic systems without observability
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Cover image for Automating Session Tracking with n8n for a Coaching Business...
Automating Session Tracking with n8n for a Coaching Business Just wrapped up this n8n workflow for one of my clients, a coaching business that manages dozens of client sessions every week. I built this automated workflow 👇 🧠 How it works: 1️⃣ Triggers when a Google Calendar session ends. 2️⃣ Extracts the client’s name from the event title. 3️⃣ Fetches client info from Google Sheets. 4️⃣ Subtracts one from the remaining sessions count. 5️⃣ Updates the sheet automatically, no manual input needed. 6️⃣ Finds the next scheduled session from the calendar. 7️⃣ Sends an automated message via Bird API (WhatsApp) to the client confirming their next session. 💼 Impact for the client: Saved 2+ hours daily on manual admin work. Reduced scheduling mistakes by 100%. They now get automatic session reminders and updates.
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