Angle 2 is here — and this one might be the most important of the series. Angle 1 was about commands (ELI5, TLDR, Humanize etc.) Angle 2 is about WHY most people still get bad answers even after using those commands. The answer: no context. AI is like a brilliant assistant with zero memory. Every time you open a new chat, it knows nothing about you — your background, your goal, your audience, your constraints. So it gives you the average answer. The "safe" answer. The generic answer. Here are the 4 context blocks I give AI before every important prompt: 1. WHO YOU ARE — your role, experience level, situation 2. YOUR GOAL — what success actually looks like 3. YOUR AUDIENCE — who will read or receive this 4. CONSTRAINTS — word count, tone, what to avoid Real example from today: Without context: "Write a post about productivity." Result: 300 words about waking up early and making lists. With context: "I run a Skool community for freelancers. Write a Threads post about the one productivity habit that changed how I handle client work. Audience: freelancers 20-35. Max 120 words. Conversational, no fluff." Result: Something I'd actually post. Same AI. Same question. Completely different output. The PDF is in the post. Try giving all 4 context blocks on your next AI prompt and drop your result below — I want to see what changes for you. 😲Let's discuss you're way or framework to work with AI??

— Here's What It Does Most businesses lose 70–80% of their leads simply because no one follows up consistently. I built a solution for that. Over the past few weeks I designed and implemented a complete bulk lead management system using n8n, Google Sheets, Gmail, Tally and Slack — no expensive CRM required. Here's what the system does end to end: 📥 Lead Capture & Qualification Leads arrive from a Tally form via webhook. The system instantly normalises the data, validates emails, detects duplicates and blocks them before they enter the pipeline. 🎯 Intelligent Lead Scoring Every lead is automatically scored out of 100 based on three signals — budget, company size and job title seniority. Leads are then tiered into High, Mid and Low priority without any human involvement. ⚡ Instant Routing & Personalised Emails High-score leads get a VIP welcome email within seconds of submitting — while the sales team gets an immediate Slack alert. Mid and low tier leads receive tailored nurture emails matched to their stage. 🔄 Automated Follow-up Sequence A scheduled workflow runs daily and sends up to 3 personalised follow-up emails per lead — each one different in tone and content. The system tracks every send, updates the pipeline automatically and stops when a lead replies or completes the sequence. 💬 Reply Detection When a lead replies to any email, the system detects it instantly, updates their status in the pipeline, stops further automated follow-ups and alerts the sales team on Slack with the lead's full context and message preview. 📊 Daily Digest Every weekday morning the team receives a Slack digest showing total leads, tier breakdown, average score, sequence completion rate and new leads added that day. The tech stack: → n8n for workflow automation → Tally for form capture → Google Sheets as the lead database → Gmail for automated email sequences → Slack for real-time sales alerts and daily digest → Google Looker Studio for pipeline dashboard (in progress) The result :