Trying To Be Better
Paste a YouTube URL, article link, or any content you want me to analyze
Key facts, testimonials, and insights from research and conversations.
Spawning 5 agents simultaneously beats 1 optimized agent. Speed compounds when you run multiple instances in parallel, even if each is 70% as accurate.
Every AI agent follows the same 3-step loop: OBSERVE (read context) → REASON (think/plan) → ACT (execute tools). Then loop back with new results.
You can register multiple agents (Claude, Gemini, GPT) as MCP servers and manage them all within a single conversation thread. One conductor, multiple performers.
Creating shared spaces where agents debate ideas before producing output forces them to challenge each other's reasoning → higher quality results.
New PMax feature lets you bid MORE for first-time customers when AI predicts they'll become long-term buyers. Accepts higher CPA upfront for better LTV.
Google is building UCP for AI Mode shopping. Early adopters could get preferential visibility when AI agents shop on behalf of users.
Every unnecessary click = ~10% drop in conversion rate. CRO in 2026 is about removing friction at every buying step, not adding features.
Welcome flows drive 30-40% of total email revenue (highest ROI). Most brands send 1-2 emails. Winners send 5-7 email series over 30 days.
35 real Colorado construction bids totaling $1.19B tracked across 6 sources: Denver, Colorado Springs, Grand Junction, CODOT, and major state/regional projects.
16-year ethics project: Three-level framework (Level 1: Truth from ideal observer, Level 2: Our best guess, Level 3: What actually works). Species-neutral, holistic aggregation.
Useful prompts and commands you can give me (or other AI agents).
Research 10+ articles, extract actionable ideas, organize by category, post to TRideas
Fetch transcript, analyze content, write blog post or extract key insights
Scrape multiple websites, parse data, save to database, run daily via cron
Design + backend + frontend + database + deployment in single session
Search across all memory files to recall past conversations, decisions, context
Set up daily/weekly tasks that run automatically
Read long papers, summarize, extract key concepts, write accessible explanations
Spawn specialized sub-agents for different tasks, coordinate work
Write "Why Choose / Key Features / FAQ" sections with manufacturer-verified specs
Convert text to engaging voice narration with emotional tags