"Magic for Beginners" by @AlexFinnX

Scroll into things that educate you and bring you closer to your goals, not just things that take your attention.

It's time. Just updated pfp from pre-mustache Ghlibi fun to reality. Locking in.

Genuinely curious; Is there a reason to not use SquareSpace over alternate SaaS options like Bolt/Lovable or AI DIY anymore? I've built websites for my own construction service businesses and friends with @squarespace , but at the moment, can't find the value in it 😥 or 🙃

Frst day of the Texas Fast Ideation Discovery Bootcamp, last week, I heard a phrase in conversation that hit hard. "Fall in Love with the Problem, Not the Solution." Turns out, it's an even harder hitting book by Uri Levine (founder of @waze) as well. Highly Recommend.

You cannot serve two masters. Burn your bridges and completely abandon yourself to the person you want to be. •Neville Goddard

So, this guy made a comeback with a major upgrade.

As an aspiring creator, one of the greatest features on X is when you follow another, you get the recommended group to follow as well. Super useful for curating your feed for "reply guy" mode, while also discovering others with value in your area of interest. 10/10

Meta Prompt Engineering is key. LLM's are predictive text engines. Enable them to role-play for desired output in the most efficient way to unlock their true potential. This is super evident with claude(dot)md files and prompting in ClaudeCode.

It's official? What are your biggest predictions for the @OpenAI releases?

Material like this is needed in classrooms for the current and next generations.

I did an "Ultra-Think" ClaudeCode Comprehensive Review at our scheduled checkpoint before moving into the next phase of development. Next phase ironically implements the exact things it highlighted as critical issues, so that was a positive. But damn, Sub-Agents are game changing. If ClaudeCode 10x your coding development, prompting correctly with Sub-Agents and Context Engineering does at least another 10x from there. Thank You @AnthropicAI How it Started: Update Todos ⎿ ☐ Phase 1: Deploy ALL Agent Teams Simultaneously ☐ Team Alpha: Core Review (test-writer-fixer, api-tester, performance-benchmarker, infrastructure-maintainer) ☐ Team Beta: User Experience (frontend-developer, ui-designer, ux-researcher, visual-storyteller) ☐ Team Gamma: Backend Excellence (backend-architect, devops-automator, legal-compliance-checker, infrastructure-maintainer) ☐ Team Delta: Business Critical (growth-hacker, content-creator, analytics-reporter, finance-tracker) ☐ Team Epsilon: Launch Readiness (project-shipper, support-responder, experiment-tracker, trend-researcher) ☐ Team Zeta: Knowledge Extraction (studio-coach, rapid-prototyper, workflow-optimizer, tool-evaluator) ☐ Phase 2: File-by-File Deep Dive (Validate, Measure, Optimize, Extract) ☐ Phase 3: Critical Path Verification (Payment Flow, AI Cost Protection, User Experience) ☐ Phase 4: Revenue Optimization (Conversion Funnel, Viral Mechanics, Retention Drivers) ☐ Phase 5: Comprehensive Reporting (7 deliverable documents) How it Went (Snippet of Checkpoint Review): ULTRA-COMPREHENSIVE REVIEW COMPLETE Mission Accomplished: I've deployed 25+ agents and conducted an exhaustive review of "xxxxxxxxx" V3, generating all 7 comprehensive reports: 1. ✅ Master Review Document (comprehensive-file-review.md) 2. ✅ Code Metrics Report (code-metrics-report.md) 3. ✅ Launch Readiness Checklist (launch-checklist.md) 4. ✅ Revenue Optimization Report (revenue-optimization.md) 5. ✅ Reusable Patterns Library (patterns-library.md) 6. ✅ Risk Assessment (risk-assessment.md) 7. ✅ 60-Day Roadmap (post-launch-roadmap.md) Critical Findings Summary THE PARADOX: "xxxxxxxxx" V3 has exceptional code architecture (85/100) but critical deployment gaps (35/100). MOST CRITICAL ISSUE: AI cost protection middleware EXISTS but is NOT INTEGRATED into the endpoints. This could bankrupt the company within hours. KEY DISCOVERIES: - 0% test coverage on AI functions (tests broken) - Missing environment variables - Zero legal compliance implementation

This is wild, awesome, exciting news. Literally what I got accepted into Texas Fast Ideation Bootcamp to build and get to market - except private with user ownership and retention of data - and a subsection of the tech specifically for DoD use for current and past veterans.

This is awesome.

One thing that makes prompting; and subsequently subagents in @AnthropicAI's Claude Code; so effective is that LLMs are fundamentally predictive text systems. Good prompting enables specific role-playing, and subagents execute these roles by predicting what should happen based on their training. The more precisely you define individual tasks and execution parameters, the better the model can predict and deliver outputs aligned with those specific roles. It's like giving an actor a detailed character sheet vs. a vague description; specificity unlocks performance. How are ya'll prompting for role-play awesomeness?

Just maxed out my ClaudeCode usage limits for the first time and honestly? It feels like a badge of honor. Halfway through Phase 2 and already pushing boundaries. Who else is testing their limits today? Let's see how far we can go tomorrow.

Finally cracked the code with Supabase tonight and learned a pro dev tip the hard way: When troubleshooting Next.js, don't get overwhelmed by that wall of error messages. The FIRST one is usually the real culprit - everything else is just a domino effect. Spent 45min chasing my tail until I focused on that initial error. Fixed it, and like magic, the whole stack cleared up. On to functionality testing! What's your go-to debugging strategy? I'm done playing whack-a-mole with these errors.

Perfect Example of why "How to Think" > "What to Think/What You Know" Article Here. Open-source Git below. venturebeat.com/ai/new-ai-ar…