pieces

Once created, how much skills you've used, what your actual time saving actually is. When that's done, we bring down to the dreaming system. So again, what this actually looks at is eight different... eight different kind of services which I had a look at. So the eight dimensions of dream intelligence is what you sleep...

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Tag: database-trial Source: CLOUD_LLM

...for the ROI unless we have an idea of what your time is worth or the employee whose job you are enhancing is worth. So you can literally write down how much your time is worth like this and you can see actually it'll tell you based on the skills you've used in the past X number of days or...

[Command-Line Output] [honcho] recap: Goal: clean up master-brain repo and ship the Supabase IO reduction. Branch codex/supermemory-openai is 4 commits ahead and pushed to origin. Next: open the PR to master, or apply the 20260516 migration to live Supabase first. [honcho] UserPromptSubmit: Yes, the folder is sorted as far as I can take it without your permission to move or delete files. What's done: - Git: working tree clean, branch up to date with origin - All 3 branches pushed to GitHub - Codex crash cause fixed - Memory + handoff saved What's NOT touched (because deletion needs your OK): - cosmograph-points.csv (31 MB) and cosmograph-links.csv (18 MB) at repo root - look like one-time graph data exports, not source - entity-extraction-checkpoint.json (2.5 MB) at root - looks like a stale run artifact - index.e0b971968c0b91fb.js (2.4 MB) and styles.79b4495b7ecc8580.js (83 KB) at root - look like leftover bundle dumps - 10+ stray PNGs at root (gitignored but cluttering): alt-tab-once.png, desktop-screenshot.png, discord-devportal-*.png, powd-*.png If you want me to move that junk to .archive/ or delete it, say which and I'll do it. Otherwise the repo is shippable.

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up is memory, which is where does your world live? Like, is it in Obsidian? Is it in Pinecone? Is it in a different—is it SQL? Is it in Supabase? Where is it? So we can actually grab those memories and start to add context. Once we've done that, um, this one's really cool for me. I think it's really important. We can't know...

Where's all the stuff living, basically, which is crazy. Once you've got that, where do you keep your memories? So this one knows, it can basically, it's detected that I've got my Obsidian vault and my Pinecone index, because it's pretty smart and knows what's going on. But you can add custom folders, basically the, the fourth step.

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[Document Content] Offer summary Offer ID: offer-wfkm6radm5qmm Offer type: Public offer Offer availability: Available for purchase Buyer AWS ID: 987353734202 Product ID: 738798c3-eeca-494a-a2a9-161bee9450b2 Product name: Pinecone Vector Database - PAYG Deployed on AWS: Yes Free trial details: Duration: 21 days Start date: May 16, 2026 End date: Jun 6, 2026 Pricing details: Dimension: Pinecone Billing Unit Purchase details: Offer ID: offer-wfkm6radm5qmm Offered by: Pinecone Free trial Duration: 21 days Contract total: Free

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Tag: contract-review Source: CLOUD_LLM

Tag: pinecone-database Source: CLOUD_LLM

[Document Content] Download Folder Files: - Pre-Funnel Execution Guide (1) - Pre-Funnel Execution Guide - Claude Code The Definitive Guide to Agentic Development (Written by Claude Code etc.) - Gym Launch Secrets (Alex Hormozi) - batch03_ads_meta_import_FlXED (various versions) - Video-20260515T201517Z-3-001 - Static-20260515T20071 OZ-3-001 Folders: - Ecosystem - Tools - ClaudeDev - Codeland2026 - delete - Music - Videos - output - master-brain - 837

[SUGGESTED_QUERY] marketing guides in downloads folder

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[Web Browser Content] AWS Marketplace: Pinecone Vector Database - PAYG Hello, Michael Merlino Product: Pinecone Vector Database Offer: offer-wfkm6radm5qmm Free trial end date: Jun 6, 2026 Status: Your request is in progress, this will take a few minutes. Don't refresh or close this page. Meanwhile, you can set up your account on the vendor's website. Note: This product will not convert to a paid subscription after the free trial ends.

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Website: https://aws.amazon.com/marketplace/procurement/?productld=738798c3-eeca-494a-a2a9-161bee9450b2

Tag: pinecone-vector-database Source: CLOUD_LLM

model architecture like in your world. And it should be able to do this, but you definitely want to prompt it this way. Obviously, this onboarding wizard does it for you, but you get the idea. This one's really cool. Where do they store their data? Well, this freaking knows because it actually has access to it. So the next question is, of the things I use...

[Web Browser Content] AWS Marketplace: Pinecone Vector Database - PAYG Product: Pinecone Vector Database - Deployed on AWS (PAYG) Product ID: 738798c3-eeca-494a-a2a9-161bee9450b2 Offered by: Pinecone Offer Details: - Offer ID: offer-wfkm6radm5qmm - Offer Type: Public offer - Free Trial: 21 days (May 16, 2026 - Jun 6, 2026) - Pricing: Usage-based, free trial does not automatically convert to paid. Terms: - By subscribing, you agree to the pricing terms and the seller's End User License Agreement (EULA). - AWS will issue invoices and collect payments on behalf of the seller. - After purchase, continue to the vendor's website to finish setting up your account. Status: Your request is in progress.

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[Web Browser Content] Ask Gemini Claude (MCP) Extract ad warnings Claude (MCP) Extract YouTube video transcripts Ads Manager - Marketing Merlino Marketing Hermes Agent - Dashboard Work Developers Call Tracking

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You can toggle them on and off so you can just pick the ones that you have, which is freaking fantastic. So first thing you need to do is basically help it to understand where do the models live on your computer and what are you actually using right now? So that's kind of the first part to understand, like, what is the model...

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Let me go ahead and stop the whole thing. So effectively, what what this one does that I built is it also detects all of the different models and systems running on your computer. So if it finds OpenCore, Claude Code, Claude Desktop, OpenRouter, whatever it is, it will automatically show you these and you...

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[Web Browser Content] AWS Marketplace: Pinecone Vector Database - PAYG Pinecone Vector Database Sold by: Pinecone Pinecone is a serverless vector database built to power production AI on AWS. It delivers fast, accurate retrieval with hybrid search, reranking, filtering, and real-time indexing - no infrastructure or tuning required. Highlights: - Accurate, production-ready retrieval: Low-latency search (20-100ms) on billion-vector datasets with hybrid search (semantic + keyword), integrated reranking, and real-time indexing. - Ship faster with predictable cost and scale: Fully managed serverless architecture with decoupled storage and compute. - Enterprise-ready: SOC 2 Type II and HIPAA certified with security enforced at the data layer. Usage Costs: Pinecone Vector Database uses a single dimension called 'Pinecone Billing Unit' which aggregates costs across read units (RUs), write units (WUs), and storage for serverless indexes.

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