I built a free tool that tailors your resume to ANY job posting. Here's how it works 👇 Paste a job link. That's it. One link. Behind the scenes, it: → Reads the entire job posting → Pulls out what they're really asking for → Rewrites your resume to match it → Writes a custom cover letter (no generic fluff) → Saves both to a Google Doc, ready to send No fake experience. No made-up achievements. Just your real work, presented the way each job wants to hear it. If you're job hunting (or know someone who is), this could save hours. Try it, break it, tell me what's missing. I'm building in public and want the feedback. 👇 Would love to hear what you think in the comments. #AI #Automation #JobSearch #ResumeTips #CareerAdvice

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Stop chasing leads by hand. Let automation do it. Following up on emails takes a lot of time. You have to remember who you wrote to, who replied, and who needs a nudge. I built a tool that does this for you. Heres how it works: ✅ Put your contacts in a Google Sheet ✅ The first email goes out to everyone, with their name and company filled in ✅ If someone doesnt reply, it sends a follow-up on day 3, then day 8 (you choose the days) ✅ If someone replies, it stops right away ✅ All follow-ups land in the same email thread, so it looks natural ✅ It never sends on weekends You only talk to people who answer. The tool handles everyone else. What you get from me: 📦 The ready-to-use n8n workflow 📖 A simple step-by-step guide ⚙️ Setup help so it works with your Gmail and Google Sheet It works well for: Freelancers and agencies looking for clients Sales teams doing outreach Anyone who sends the same follow-ups again and again No expensive software. It runs on Gmail, Google Sheets, and n8n. 👉 Get it here: https://lnkd.in/dPHbfWKh (https://lnkd.in/dPHbfWKh)Please use it for real, relevant outreach and always give people a way to opt out. #automation (https://www.linkedin.com/search/results/all/?keywords=%23automation&origin=HASH_TAG_FROM_FEED) #n8n (https://www.linkedin.com/search/results/all/?keywords=%23n8n&origin=HASH_TAG_FROM_FEED) #emailmarketing (https://www.linkedin.com/search/results/all/?keywords=%23emailmarketing&origin=HASH_TAG_FROM_FEED) #leadgeneration (https://www.linkedin.com/search/results/all/?keywords=%23leadgeneration&origin=HASH_TAG_FROM_FEED) #freelance (https://www.linkedin.com/search/results/all/?keywords=%23freelance&origin=HASH_TAG_FROM_FEED)

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Cover image for This enterprise-grade n8n workflow autonomously

This enterprise-grade n8n workflow autonomously discovers trending Instagram content, reverse-engineers the aesthetic using OpenAI Vision, and publishes a unique, high-quality AI variation using Flux AI. What it does: Scrapes & Filters: Pulls top trending posts from your target hashtags (via RapidAPI). Never Repeats: Checks a PostgreSQL database to ensure you never post duplicate concepts. AI Vision Analysis: Uses GPT-4o Vision to extract the exact physical and design characteristics of trending images. Generates Unique Art: Passes the aesthetic data to Replicate (Flux AI) for hyper-realistic, unique image generation. Writes Captions: Uses OpenAI to craft engaging, trend-optimized captions and hashtags. Auto-Publishes: Posts directly to your Instagram Business account via Facebook Graph API. Notifies You: Sends real-time success alerts to your Telegram. What you get: The complete, import-ready n8n .json workflow file. A comprehensive README.md (http://README.md) with step-by-step setup instructions and database SQL schema. Requirements: n8n instance, PostgreSQL database, OpenAI API key, Replicate Token, RapidAPI key, and Instagram Business Account.

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Agent Evaluation Dashboard — Full-Stack LLM Observability Tool Teams running AI agents in production need visibility into how those agents actually perform not just whether they respond, but how accurate, fast, and cost-efficient they are. I built a full-stack observability dashboard to solve exactly that: a single place to track accuracy, latency, API cost, and schema compliance across multiple LLM models and agent types. What I built A responsive Next.js (App Router) frontend styled with Tailwind CSS — deep purple sidebar, live accuracy/latency charts (Recharts), filterable eval-run tables, and per-model performance comparisons A Python FastAPI backend serving the dashboard's data layer, with token-based authentication protecting every route Full session handling: login, protected pages, automatic redirect for unauthenticated users A fully responsive layout collapsible drawer sidebar on mobile, reflowing grid on tablet/desktop

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Syeda Fiza Gilani

AI Solutions Architect & Automation Engineer