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[SUGGESTED_QUERY] Multi-factor authentication for AWS

[SUGGESTED_QUERY] AWS account sign in process

Tag: mfa-authentication Source: CLOUD_LLM

Tag: aws-sign-in Source: CLOUD_LLM

...actually set this up and use it on my computer. Well, let me show you exactly how that works. Now obviously if you're in the group, you can just literally come and grab this from the classroom if you like so you can rock and roll. But what I've included in this is an onboarding wizard and this will really explain to you how you set this thing up. So we look at Claude OS and...

So if I vectorize information, if I—which is just a fancy way of saying store new stuff, I actually get a breakdown here of what's happening with everything that I'm doing, which is great. It's just good to get nice little bits of overview on that. So you're probably thinking, "Jack, that looks really freaking cool. How do I actually..."

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[Web Browser Content] AWS Marketplace: Pinecone Vector Database - PAYG Pinecone Vector Database - PAYG Sold by: Pinecone Overview: Pinecone is a serverless vector database built to power production AI on AWS. It delivers fast, accurate retrieval. Highlights: - Accurate, production-ready retrieval: Pinecone delivers low-latency search (20-100ms) on billion-vector datasets with hybrid search (semantic + keyword), integrated reranking, and real-time indexing. - Built on a purpose-built Rust engine and serverless architecture, optimized for production AI. - 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. Actions: - View purchase options - Try for free - Request private offer - Request demo

[SUGGESTED_QUERY] AWS Marketplace SaaS procurement options

[SUGGESTED_QUERY] serverless vector database for production AI

[SUGGESTED_QUERY] Pinecone Vector Database AWS Marketplace features

Tag: aws-marketplace Source: CLOUD_LLM

my Pinecone memory system. Basically, it's like a visual overview of how every memory that I'm using—local, Pinecone, and Supabase—is connected in one really nice, crisp view and how they're all related to each other. And what we also added in here as well, by the way, is like recent activity.

Website: https://aws.amazon.com/marketplace/pp/prodview-xhgyscinlz4jk

[Web Browser Content] Pinecone CTR Geeks v Default Marketplace Pinecone Standard Trial expired Your Pinecone account is on pause. To resume usage, upgrade now. Or, downgrade to the Starter plan. Upgrade now to retain access to these features: - All supported clouds, regions, and models - Bulk import: Effortlessly import data at $1/GB - Backups: Take index snapshots and restore at any time - RBAC: Manage access for API keys and users Subscribe to the Standard Plan—designed to support the demands of scaling production workloads. Plan: Standard Built for scalable, production-ready workloads with flexibility to grow as you do. You'll be charged a minimum of $50/month. Once your usage exceeds the minimum, you'll pay as you go. Continue with your preferred method: Credit / Debit card, Billing through GCP, Billing through AWS, Billing through Azure.

[SUGGESTED_QUERY] Manage Pinecone billing and project settings

[SUGGESTED_QUERY] Pinecone Standard plan pricing and features

[SUGGESTED_QUERY] Pinecone account subscription upgrade

Website: https://console.cloud.google.com/marketplace/product/pinecone-public/pinecone

I can actually disable certain features. So if I just want to look at Obsidian, for example, I can see the stuff that I've got in here that I'm like playing around with. I can bring up my local memory system and then obviously just bring in Pinecone to get a full overview of what this looks like. And if I want to take a different view to understand what's happening, I can see. There you go.

Website: https://app.pinecone.io/?code=0Y-Pzm0i_WIJEZRCiZlmFkG5ZnyxdRDasMQR0Ryj-DKnk&state=LnFXdWRXT2NRQUdGRE9tSC5TYW1KWWNmQndWZU5yRmNBbDBjWE82NzVhRg%3D%3D

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Website: https://app.pinecone.io/organizations/-OYhCsM5yf_EytxSiUBT/projects/f1454669-3e2b-4329-8557-2b5c510a55a8

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[Web Browser Content] Pinecone Continue with Google Continue with GitHub Continue with Microsoft Otherwise, enter your email to sign in or create an account yours@example.com By submitting, you accept the Master Subscription Agreement. Continue > Or use your marketplace: BUILD KNOWLEDGEABLE AI The vector database for scale in production AWS Amazon Azure

[SUGGESTED_QUERY] Pinecone cloud infrastructure authentication

[SUGGESTED_QUERY] how to sign up for Pinecone

[SUGGESTED_QUERY] Pinecone vector database login page

Tag: pinecone Source: CLOUD_LLM

Screen: 4) x (1 sk St Extract YouTube video t... e Al Hermes Agent Contact Ask Gemini Developers Call Tracking ismiss x o Work x •Claude (MCP) pinecone.10 Claude (MCP) A Extract ad wamings... •Claude (MCP) Ads Manager Resources - Man.. Merlino Marketing -... Pricing - Das... Introducing the knowledge engine for agents - Read more about Nexus here Pinecone Products Enterprise BUILD KNOWLEDGEABLE Al Give agents Fast retrieval. Accurate results. Lower costs. Start in seconds. Start Building apier sanofi Get a Demo Vanguards Customers Adobe workday. L'ORÉAL Start building Microsoft https://www.pinecone.io/blog/knowledge-infrastructure-for-agents/ Adobe L'ORÉAL Vanguard sanofi Microsoft workday. knowledge x o Sté Ch Arc Arc workday. Open Microsoft sanofi Vanguard L'ORÉAL Adobe

[SUGGESTED_QUERY] Pinecone AI agent retrieval technology

[SUGGESTED_QUERY] knowledge infrastructure for AI agents

[SUGGESTED_QUERY] Pinecone vector database for AI agents

Website: https://www.pinecone.io/blog/knowledge-infrastructure-for-agents/

Tag: knowledge-infrastructure Source: CLOUD_LLM

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Website: https://app.pinecone.io/

...how you work. Um, title, intro, all put together, make it—so you get the idea, it's basically showing you dynamic things every single day based on how you're using AI on your computer and whether I'm using it in Claude or the terminal, this brings it all together, which is really freaking cool. Then we've got all—

[Web Browser Content] Claude Code Agentic OS... It self improves Jack Roberts demonstrates a visual operating system for Claude that tracks AI activity, monitors costs, and suggests improvements. The system includes features for cost management, skill optimization (e.g., switching to Haiku for file reads), and memory management. Key Links: - Claude Code Full Course: https://bit.ly/4tyq4Uz - Glaido: https://bit.ly/42isnim - Pinecone: https://www.pinecone.io/ - Claude: https://claude.ai/ Related Videos: - Nate Herk: Build & Sell Claude Code Operating Systems - Chase Al: Stop Using Claude Code Without an Agentic OS - Alex Finn: Hermes Agent powered by local models - Dr Jim Kennedy: 6 Claude Tools That Put You Ahead - Austin Marchese: How Anthropic Engineers ACTUALLY Prompt Claude Code

[SUGGESTED_QUERY] Claude Code cost optimization and agentic workflows

[SUGGESTED_QUERY] how to build visual operating system for Claude

[SUGGESTED_QUERY] Jack Roberts Claude Code Agentic OS tutorial

Person: Austin Marchese Role: SUBJECT

[Command-Line Output] Cannot open agents — 1 background task(s) running. Use / background to confirm abandoning them. [honcho] user-prompt f- injected conclusions (cached) L UserPromptSubmit says: Carlos still running. min in, no completion notification yet. Per the harness rules I can't peek at his transcript without overflowing context, and I shouldn't poll. You'll get pinged the moment he lands. What's in flight: Track A (inventory): D:\ClaudeDev\00_GITHUB, vault-audit, plus E: - Merlin: process_catalog Supabase schema + registers catalog in unified memory - Memz: Track B (Petey): drive (E:\Merlino Vault\, E:\Codex\projects\, 441 GB DL DUMP), ingestion pipeline with text-embedding-3-large layer plus SSH to Mac and VPS3 - Dan: agent spec + design decision + writes .claude/agents/petey.md and the skill file - Merlin: any tooling Petey needs (catalog write helper, parser shims) - Smoke test feedstock: / local-seo-site-builder (per addendum at D:\ClaudeDev\PETEY-ADDENDUM.md) - Persistent memory layer required: own MEMORY.md + SubagentStop hook + Hindsight + Memo + Master Brain When Carlos returns I verify before delivering: - Real Supabase row count (queried, not estimated) - Top 30 executable-process artifacts with step counts - Petey files exist + smoke test transcript shows local-seo-site-builder input structured output - Petey memory dir initialized - Everything committed to merlino-skills canonical No fabricated numbers. No "looks done." If anything's missing on delivery, I dispatch a follow-up before you see it. Want me to ping you the moment he lands, or just wait until I have the full delivery report? [honcho] response saved L Stop says: * Cogitated for 20s 1 local agent still running x recap: Building a process inventory across all your drives and machines, plus a new Petey subagent that turns raw knowledge into processes. Carlos is running both tracks in background; next action is reviewing his delivery when he lands. (disable recaps in /config)