Designing a winning strategy is the art of asking questions, experimenting and then constantly renewing the thinking process by questioning the answers. No matter how good today’s strategy is, you must always keep reinventing it.
Every Click-to-WhatsApp ad drops an ad_id in the webhook payload.
DARA Cloud maps that ID to a visual flow before the LLM even wakes up.
Context locked, zero prompt drift, reply out in 1.2s.
Stop building n8n automations from scratch.
There's a free GitHub repo with 280+ ready-made templates (25k+ stars):
→ Gmail
→ Slack
→ AI agents
Copy one, plug in your accounts, change two settings. It runs.
Google just froze its open-source bug bounty program.
Not because AI was too good. Because most of the AI-generated reports were invalid or hallucinated.
→ nobody reading it
→ nobody checking it
→ nobody catching it before it went out
Verify before you ship.
Claude Code forgets your entire project the moment you close it.
claude-mem fixes that, for free:
→ 96k+ GitHub stars, 8.5k forks
→ one install
→ one config flag
Done.
There's a 100x price gap between two GPT-6 models.
Astra: $10–$50 per million tokens
Luna: 10–50 cents
But most of that swing comes from one setting: reasoning effort.
→ low
→ medium
→ high
→ xhigh
Match the level to the task.
Apple is the first major OS to lock AI agents out of your files.
What agents could see with Full Disk Access:
→ your mail
→ your messages
→ your browsing history
All quietly. Convenience vs. control just became the real fight in AI.
I'm doing a Master's in AI.
Last night an AI I built pushed code to GitHub while I slept. At 7 AM another one had my news brief ready.
None of that came from class.
So, new rule: everything I learn, I build. Everything I build, I show you.