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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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...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..."

[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

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.

[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.

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.

[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

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

...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

[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)

[Command-Line Output] Scope: Central broker for multi-runtime agent fleet management. Replace localhost SQLite with a hosted broker (Postgres or Supabase). Reachable from Windows, Mac, VPS, and server laptops. Features: Multi-runtime support (Claude Code, OpenClaw, Hermes, Cody, Gemini), proper cleanup with SIGTERM hooks, and live fleet view in ClawControl/Hermes MCC. Architecture Team: Dan (architecture), Knox (Tailscale ACL/auth), Merlin (broker rewrite), Frankie (dashboard). Decisions: 1. Broker location: Mac Studio. 2. Dashboard: fleet.merlinoai.com. 3. Cleanup: Fork claude-peers. Current Status: Carlos is running background tasks (Sherlock, Merlin, Memz) for Track A and Track B (Petey). Files: D:\ClaudeDev\PETEY-ADDENDUM.md, E:\Merlino Vault\, E:\Codex\projects\, D:\ClaudeDev\00_GITHUB.

Mark that as done. Awesome. Moving to the next one. You're paying Opus prices for jobs that Haiku can do. Interesting. And why are you suggesting this? A bit of information and then specifically how to action it. It'll show stuff like you did the same competitor research four times this week. Interesting. So I'm duplicating...

Speaker 1: ...for all of the models that you're currently using, Claude, ChatGPT, OpenRouter, etc. Now what's really freaking cool and my favorite thing about this that I built on this is the dreaming feature. So you have access to so much data on your computer, right? Like your usage, um, conversations you're having...

they actually drive for you, but I'll show you more in a sec. You've got your net ROI, which is how much this is making you minus your cost for things. We can see the subscriptions that we've got like Claude Pro Max, ChatGPT, OpenRouter, and you can even see step by step your current limit.

the skills, okay, is understand the skills that you have and it knows this because it knows where the skills live on your laptop and I'll show you what that looks like in a second. What it can actually do is figure out how much you're actually saving in your time and money based on those skills and what

So I'll put a link down below if you want to go and grab the V1, but you'll also understand how to actually build and what kind of goes in the information for this. So effectively what we want to do is capture how much money you're actually spending on AI on a monthly basis. And what we can do is on...

[Command-Line Output] Git status and commit history for codex/supermemory-openai branch. TASK: Clean up dirty branch, save Codex's mid-crash work, fix the folder so Codex stops crashing DONE: - Committed Codex's uncommitted Supabase I/O reduction work (15 files) - Renamed 2 side branches to archive/ prefix - Pushed all 3 branches to origin - Found and fixed root cause of Codex crash (broken .qmd-tool submodule gitlink) - 4 new memory files written - .continue-here.md rewritten with full resume context - Context bundle saved - All em dashes stripped from saved files WHERE YOU ARE RIGHT NOW: - codex/supermemory-openai is 4 real commits ahead of master, pushed to origin - PR-ready: https://github.com/mmerlin023/master-brain/pull/new/codex/supermemory-openai - Working tree clean, branch up to date with origin WHAT YOU'RE TRYING TO GET DONE (3 open decisions): 1. Open the PR from codex/supermemory-openai to master, or keep iterating on the branch? 2. Apply migration supabase/migrations/20260516_reduce_io_storage_growth.sql to live Supabase project 3. Confirm what the second Codex terminal was doing before any concurrent git work resumes here ARCHITECTURAL PLANNING: Where should the central broker live? 1. hq.merlinoai.com on existing VPS (Recommended) 2. New tiny VPS dedicated to fleet ops 3. Mac Studio (Hermes machine) TEAM: Dan (architecture) + Knox (Tailscale ACL + auth) + Merlin (broker rewrite + multi-runtime adapters) + Frankie (dashboard).

out all the time, right? It's like no nasty surprises. You can see this in one cool holistic dashboard. And by the way, if you do want this full course, I'm releasing it inside my community, this V1 alongside the full Claude code masterclass that covers everything from power features down to memory system apps, build everything, design systems...

Screen: bash bash bash Broker evicts peers with no heartbeat in 30s. MCP server installs SIGTERM/process-exit hook to deregister cleanly. Zombies die in s30s, no more PC crash risk. Live fleet view in ClawControl (or Hermes MCC). Who's alive, who's idle, what they' re working on (summary), message history, ping-from-UI button. fleet Is, fleet ping <id>, fleet broadcast, fleet kill-stale Dan (architecture) + Knox (Tailscale ACL + auth) + Merlin (broker rewrite + multi-runtime adapters) x Proper cleanup Dashboard CLI This is real work + Frankie (dashboard). Not a single-session tweak. Before I dispatch 4 decisions: ü Dashboard home ü Build approach Where should the centrat broker tive? hq.merlinoai.com on existing VPS (Recommended) ü Next step vSubmit 2. 3. 4. 5. Subdomain you already own. Tailscale

Speaker 1: What we're doing here with these pillars is we want to stop overpaying. So how are you being more efficient? What's really cool here is it will understand what models you're using for what tasks and say, "Hey," and give you dynamic recommendations to say, like, "You should move to this model, you should move to that model." Um, you're going to know what's always left. You're going to be able to find...

20 bucks a month. Um, we've got memory, so how are we storing memory? Are we storing it locally? Are we storing it in Obsidian? Are we storing it in Pinecone? The skills that you're using, uh, on a day-to-day basis, your knowledge systems, and again, how we connect it all together. So, the idea...

[Web Browser Content] Claude OS Presentation Local Only - Every 15 Minutes Knowledge Engine: - Pinecone - NotebookLM - Supabase Models: - Anthropic - OpenAI - Gemini - Deepseek Connectors: - Zapier Plans: - 7AM Daily - 5-Second Answer - Six Memory - Skills

[Command-Line Output] Pieces OS - Memz Ingester Mode: incremental Collection: all active Dry run: False [INFO] main: Pieces OS health: ok [INFO] main: Running collection: annotations [INFO] col.annotations: Starting incremental sync... [INFO] httpx: HTTP Request: GET http://localhost:39300/annotations "HTTP/1.1 200 OK" [INFO] col.annotations: Found 344 annotations in Pieces OS [INFO] col.annotations: Assembled 5 records (0 empty, 339 stale/watermarked) [INFO] httpx: HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK" [INFO] col.annotations: Inserted: 4 | Skipped (dupe): 1 [INFO] main: Collection annotations complete: {"collection": "annotations", "inserted": 4, "skipped_dupe": 1, "skipped_empty": 0, "skipped_stale": 339} [INFO] main: Running collection: tags [INFO] col.tags: Starting incremental sync... [INFO] httpx: HTTP Request: GET http://localhost:39300/tags "HTTP/1.1 200 OK" [INFO] col.tags: Found 6249 tags in Pieces OS [INFO] col.tags: Assembled 375 records (0 empty, 5874 stale/watermarked) [INFO] main: Running collection: workstream_summaries [INFO] col.workstream_summaries: Starting incremental sync... [INFO] col.workstream_summaries: Found 123 summaries in Pieces OS [INFO] col.workstream_summaries: Processing 0/123...

2026-05-16 12:00:06,117 [INFO] main: ============================================================ 2026-05-16 12:00:06,119 [INFO] main: Pieces OS → Memz Ingester 2026-05-16 12:00:06,119 [INFO] main: Mode: incremental 2026-05-16 12:00:06,119 [INFO] main: Collection: all active 2026-05-16 12:00:06,119 [INFO] main: Dry run: False 2026-05-16 12:00:06,119 [INFO] main: Log file: D:\ClaudeDev\00_GITHUB\pieces-integration\ingester\logs\ingest-all-20260516T160006Z.log 2026-05-16 12:00:06,119 [INFO] main: ============================================================ 2026-05-16 12:00:07,017 [INFO] httpx: HTTP Request: GET https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/pieces_sync_watermark?select=collection&limit=1 "HTTP/2 200 OK" 2026-05-16 12:00:07,019 [INFO] watermark: Watermark table available: pieces_sync_watermark 2026-05-16 12:00:07,090 [INFO] httpx: HTTP Request: GET https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/memories?select=id&limit=1 "HTTP/2 206 Partial Content" 2026-05-16 12:00:07,092 [INFO] main: Memz baseline row count: 73231 2026-05-16 12:00:09,238 [INFO] httpx: HTTP Request: GET http://localhost:39300/.well-known/health "HTTP/1.1 200 OK" 2026-05-16 12:00:09,240 [INFO] main: Pieces OS health: ok:5a3d613d-c98a-4210-bd10-017f7ce13d74 2026-05-16 12:00:09,240 [INFO] main: ======================================== 2026-05-16 12:00:09,240 [INFO] main: Running collection: workstream_summaries 2026-05-16 12:00:09,240 [INFO] main: ======================================== 2026-05-16 12:00:09,240 [INFO] col.workstream_summaries: [workstream_summaries] Starting incremental sync... 2026-05-16 12:00:09,305 [INFO] httpx: HTTP Request: GET https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/pieces_sync_watermark?select=last_synced_at&collection=eq.workstream_summaries "HTTP/2 200 OK" 2026-05-16 12:00:09,307 [INFO] col.workstream_summaries: [workstream_summaries] Watermark: 2026-05-16T15:00:09.359540+00:00 2026-05-16 12:00:09,539 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summaries "HTTP/1.1 200 OK" 2026-05-16 12:00:09,552 [INFO] col.workstream_summaries: [workstream_summaries] Found 123 summaries in Pieces OS 2026-05-16 12:00:09,552 [INFO] col.workstream_summaries: [workstream_summaries] Processing 0/123... 2026-05-16 12:00:09,555 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/c8271f6a-a094-49e2-83b5-c255856bc6bd "HTTP/1.1 200 OK" 2026-05-16 12:00:09,558 [INFO] httpx: HTTP Request: GET http://localhost:39300/annotation/07149c19-9f27-48d8-b8d2-db5c6f24ce55 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,561 [INFO] httpx: HTTP Request: GET http://localhost:39300/annotation/5ca83dbc-db65-4922-9c4a-2b3e4b94f51b "HTTP/1.1 200 OK" 2026-05-16 12:00:09,563 [INFO] httpx: HTTP Request: GET http://localhost:39300/annotation/8705e05e-1e23-4f6e-8de2-ca0198a4143e "HTTP/1.1 200 OK" 2026-05-16 12:00:09,569 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/91278cb8-d04b-4bd0-939c-3ad4d841123f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,573 [INFO] httpx: HTTP Request: GET http://localhost:39300/annotation/07149c19-9f27-48d8-b8d2-db5c6f24ce55 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,576 [INFO] httpx: HTTP Request: GET http://localhost:39300/annotation/37e4d416-b986-48d5-83c8-199aa73dce4e "HTTP/1.1 200 OK" 2026-05-16 12:00:09,578 [INFO] httpx: HTTP Request: GET http://localhost:39300/annotation/ba36a5e4-9f76-45e9-b547-8b527fd3bc95 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,582 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/6dac5743-a625-4d97-a231-8e682f36bb55 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,585 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/e76f5a16-9079-4397-8d89-13945f5ddc72 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,588 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/45cb2b76-718f-4d02-9423-07e1dc3129c6 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,592 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/0a1b2639-9646-4c47-b536-81d7523b81b4 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,597 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/cc5c0490-c10b-4f24-906f-ad2aaefff723 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,601 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/22391516-c4a1-409b-8d32-a581ab172953 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,604 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/b879743d-2df5-48e1-b784-ce5d94182e3c "HTTP/1.1 200 OK" 2026-05-16 12:00:09,607 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/4597e1f9-7051-4ea1-8123-3b488123d5ed "HTTP/1.1 200 OK" 2026-05-16 12:00:09,610 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/542df0c8-0aea-4e29-b797-3a2455742d20 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,614 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/12d33ad8-f96e-405a-a4e6-a2ddea4d07bf "HTTP/1.1 200 OK" 2026-05-16 12:00:09,617 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/6ce93f54-314f-4587-a275-a875bb69d156 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,620 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/b3a937b3-e868-41a4-bd0a-919c10ccb84f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,623 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/2e949503-4d0f-4882-8748-4f96a9cbc1db "HTTP/1.1 200 OK" 2026-05-16 12:00:09,628 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/eee9f6ce-3c4c-4cdd-a0c1-e140e82f9c7e "HTTP/1.1 200 OK" 2026-05-16 12:00:09,631 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/407094aa-19ed-4792-808c-63acee137c69 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,634 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/6ad1a13a-fcb9-48a2-ab3c-b7feb921bcb7 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,638 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/ecc544f1-dde6-4c81-a858-9d15536c125f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,640 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/527408b6-4e22-45ca-a4df-7d1d94c6d5c7 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,643 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/211cedaa-3ff7-4cee-abc2-12ca82ca3bb3 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,646 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/72c35b10-4429-47d3-8c70-10a0e17ede85 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,649 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/27451639-c73f-431a-b225-690887f18352 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,653 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/ded798a9-ffc8-4623-b26a-dbae11a341cb "HTTP/1.1 200 OK" 2026-05-16 12:00:09,657 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/a815480a-d2f7-4fc6-9333-af5a09ab4a40 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,660 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/0aac3aae-7246-402f-ad02-697948257492 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,662 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/84252103-b5b6-4e57-853e-f9d2f9fa237e "HTTP/1.1 200 OK" 2026-05-16 12:00:09,665 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/93baeca1-ac04-4cd1-879e-edabb026e2f0 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,668 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/b54e38e1-b3c2-4db0-9236-d7e43e6815dd "HTTP/1.1 200 OK" 2026-05-16 12:00:09,671 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/d761fedd-4e20-490d-8b1a-6caa12899fe7 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,674 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/c76293d4-b6ed-46e9-a0e7-41d62b89a9f0 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,677 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/6c05c12d-c0ec-44ed-9498-ef6079fde83f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,679 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/8ceb19ab-d20e-475c-9804-1531c80d253d "HTTP/1.1 200 OK" 2026-05-16 12:00:09,682 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/9b13bb3f-c6d2-4279-aede-b5a3d7e01a9c "HTTP/1.1 200 OK" 2026-05-16 12:00:09,685 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/e591c812-6ac7-4619-9f48-0984f844daec "HTTP/1.1 200 OK" 2026-05-16 12:00:09,688 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/a5b75659-8707-46ef-8530-98528a2021e8 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,691 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/d5ef1eab-c0fc-44a7-b674-60469a191c02 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,694 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/e1556bd6-8e26-48e1-b467-9a7c4f2b619c "HTTP/1.1 200 OK" 2026-05-16 12:00:09,698 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/a2d33512-b2d6-4ba2-b5b3-07aad1eaa9dd "HTTP/1.1 200 OK" 2026-05-16 12:00:09,701 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/a766716e-5ca4-47c9-8e84-0f4b63c84468 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,704 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/a61b5e39-471a-4d5b-8476-9a549ebef67d "HTTP/1.1 200 OK" 2026-05-16 12:00:09,707 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/636bee2b-eb0e-4018-80ec-8c42dc6ceed2 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,710 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/57047ffa-40a9-468a-bc9c-c22c1df8c2a5 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,713 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/9bbe0c1c-37e3-4f0d-a3ab-e4a79f8620c2 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,716 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/2cee1e9c-eb8d-43e4-b1f2-66a311c1ce55 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,719 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/203bcf66-4c8f-4a01-8f3a-536d67414d14 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,722 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/7fbf48c6-a897-40ed-9155-3939600d65ce "HTTP/1.1 200 OK" 2026-05-16 12:00:09,724 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/1170b608-59b8-4378-b39f-56d935e9e3e6 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,727 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/d4906689-2191-4c29-9149-26f12bde91a4 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,729 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/d0c9fd88-1c24-4ada-9adf-a8e85d48fc8f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,731 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/07e2f0fa-b809-40db-ab1f-668974da2146 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,734 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/fa2c3a18-951a-4fb9-befc-38d9d86ba4a8 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,736 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/85757d54-a8a9-4035-b0d0-f16a399ed165 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,739 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/48e3fca5-812a-4ff3-bfbe-78798c6a5cff "HTTP/1.1 200 OK" 2026-05-16 12:00:09,742 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/5b391bf3-808e-4472-bddb-7e77fa12afdd "HTTP/1.1 200 OK" 2026-05-16 12:00:09,745 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/c4b4cd64-9202-4df9-a21f-8c67eb70f11d "HTTP/1.1 200 OK" 2026-05-16 12:00:09,747 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/278f2631-0b87-4dbd-a548-b08e2a336184 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,750 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/ef6842f8-0945-4737-8ba7-fb1cfc606c54 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,752 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/f6ab58f1-4dac-4024-b92c-40c35b682a74 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,755 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/c5d8906b-7060-48c5-8e08-915ee4389e60 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,758 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/4cb5bed9-6362-4f8c-84c8-2a144e956b2b "HTTP/1.1 200 OK" 2026-05-16 12:00:09,760 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/23b8e3cc-c4b8-4895-9f67-1c0a495d2064 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,763 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/0bdb3e10-e4b5-4b0e-8565-5f9bdd4f3aea "HTTP/1.1 200 OK" 2026-05-16 12:00:09,767 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/f8363b5c-be81-4039-b868-4ed12c0adab9 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,769 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/91538536-f00c-470a-85eb-755bea904997 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,772 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/202cd3b5-4554-438f-b54a-2e116b880ea3 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,774 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/518b86ae-2b00-470b-b592-b23a8a5e594e "HTTP/1.1 200 OK" 2026-05-16 12:00:09,777 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/c1426c41-6e5f-4ed4-a22e-0758b8d395a9 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,779 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/22332593-c0ea-4261-82c5-5006527d8597 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,783 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/4b778df6-798e-4488-ada9-06a0ea71f07a "HTTP/1.1 200 OK" 2026-05-16 12:00:09,787 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/eebccae5-a275-45cd-86b9-77fe2d88b9f5 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,790 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/3802be9e-d937-4ede-9666-0379d92c19b7 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,793 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/a677b8e2-4dee-4c9c-a783-69184e996ee8 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,795 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/72a49823-9fde-42a8-b0d0-aa916c291536 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,798 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/97e8572a-51d2-481b-8944-8a07571e9a1c "HTTP/1.1 200 OK" 2026-05-16 12:00:09,801 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/57101a3a-0799-4bab-9e62-3ef47ef4110a "HTTP/1.1 200 OK" 2026-05-16 12:00:09,803 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/fea4968b-7d81-460f-997e-ff2efec74fd1 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,806 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/a280946f-15a4-47d1-9790-b7bdd2210212 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,809 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/b9e1aaa0-463d-4b9a-b7f9-4d9f42716cb5 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,812 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/e4dbdc2c-3534-4244-8c97-5c2fa6eea6a9 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,815 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/e77edb42-6746-448e-b557-1a2578f4be43 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,817 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/69be14ef-99df-46c6-8038-8343ae1f8a0b "HTTP/1.1 200 OK" 2026-05-16 12:00:09,821 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/0d2fcbfe-2f2d-45d1-abc1-e2c04d3ef69b "HTTP/1.1 200 OK" 2026-05-16 12:00:09,824 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/52f9ca6a-9a88-4e0b-b273-5ac66de8e767 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,828 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/6b214754-d38d-4952-9e0a-a878283f2588 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,832 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/4b59def7-ecf5-43e1-ba97-fc382f252b0f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,835 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/33fdbd8c-0851-4e38-a8f2-9c88be4c89b5 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,838 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/97fb0b2f-fc03-497d-8b70-ea659d11cb9d "HTTP/1.1 200 OK" 2026-05-16 12:00:09,840 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/aba66bbd-e6b2-42e7-a6e4-a18c1ed7474a "HTTP/1.1 200 OK" 2026-05-16 12:00:09,843 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/4ac30a4a-a7b3-4fb0-a7b2-03b9bf13d1eb "HTTP/1.1 200 OK" 2026-05-16 12:00:09,846 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/6b0609ec-ecbf-490a-adae-5c6f1c217686 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,849 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/639b47c1-b907-425e-b8bd-ae4cd0bd6a4f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,851 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/87644ffd-5f3e-4774-8265-3fe30f16819f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,854 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/0a394e34-258b-42ef-87c5-ed9221c3436a "HTTP/1.1 200 OK" 2026-05-16 12:00:09,857 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/6ef7adde-2a1c-4022-8293-3bb3d6b2c1dc "HTTP/1.1 200 OK" 2026-05-16 12:00:09,859 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/8fb40133-65ff-42f5-b45a-bb00b289914f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,862 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/38f026db-2581-45a0-9999-06dee621a16f "HTTP/1.1 200 OK" 2026-05-16 12:00:09,865 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/1a7e9145-01f8-4fce-9179-7da50cafd002 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,868 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/391dec0e-909e-4649-a419-b34e1ac72df9 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,871 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/50d6ee78-534e-4dcd-9b46-3ab0d32da0f0 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,871 [INFO] col.workstream_summaries: [workstream_summaries] Processing 100/123... 2026-05-16 12:00:09,874 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/b995b900-fd4f-4299-ba17-02943fe2fac7 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,878 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/a87c3b42-a53f-4f18-af81-4437c3bfa996 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,881 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/2be19bd0-2bb6-466a-9bc1-ef3ff3c90e5e "HTTP/1.1 200 OK" 2026-05-16 12:00:09,883 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/37e7c030-e852-42e6-bfc8-3884595ea2e9 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,886 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/8b4c3357-590d-4d6e-95cb-044609528cc1 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,889 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/d2c6f72a-487d-4ddf-b190-84ffd7105f71 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,892 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/0b23e7c2-5708-4907-ac41-c58755809cf0 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,895 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/f92eb4bc-abd2-400e-a775-a2f7a61ddbb0 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,898 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/aa050d1d-1343-4205-866f-81db04e335d6 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,902 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/73229c8f-4caa-476e-a70b-5985a84d258d "HTTP/1.1 200 OK" 2026-05-16 12:00:09,904 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/87334e99-4623-49b5-a0a6-e1a1b0b480fa "HTTP/1.1 200 OK" 2026-05-16 12:00:09,907 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/f4ce407f-a2dc-4ab3-bd1d-a4746e4dbeb1 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,910 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/f1d33fe2-ee4c-451e-b21f-2b4e4de1d917 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,912 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/a093a20f-82b0-4d5f-9d33-127f6912e128 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,915 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/c129defe-62ad-48ae-81b6-9099b5a3ec81 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,918 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/cf480fde-00c3-4896-9275-d83b160651fa "HTTP/1.1 200 OK" 2026-05-16 12:00:09,921 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/5ae71a4f-32f9-48f6-98d2-52189f9633da "HTTP/1.1 200 OK" 2026-05-16 12:00:09,924 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/b4b420ca-212e-4a81-927e-a2a746a7c569 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,926 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/f51c5876-0855-40f0-ad90-8ecbffd9833c "HTTP/1.1 200 OK" 2026-05-16 12:00:09,930 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/18ca27a4-be9e-4a12-bc91-f3482526c7d1 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,933 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/683d4730-e735-4207-af15-3f0fa6cf6318 "HTTP/1.1 200 OK" 2026-05-16 12:00:09,936 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/0133409a-b7ea-47e8-9ab3-ec8b27dc28ab "HTTP/1.1 200 OK" 2026-05-16 12:00:09,939 [INFO] httpx: HTTP Request: GET http://localhost:39300/workstream_summary/fd4d5d7f-ea8c-41f3-a207-824fb7c194cd "HTTP/1.1 200 OK" 2026-05-16 12:00:09,939 [INFO] col.workstream_summaries: [workstream_summaries] Assembled 2 records (0 empty, 121 stale/watermarked) 2026-05-16 12:00:12,514 [INFO] httpx: HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK" 2026-05-16 12:00:12,703 [INFO] httpx: HTTP Request: POST https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/memories?on_conflict=content_hash&columns=%22content_hash%22%2C%22memory_type%22%2C%22source%22%2C%22content%22%2C%22source_id%22%2C%22confidence%22%2C%22device%22%2C%22domains%22%2C%22agents%22%2C%22embedding%22%2C%22projects%22%2C%22created_at%22 "HTTP/2 201 Created" 2026-05-16 12:00:12,706 [INFO] col.workstream_summaries: [workstream_summaries] Inserted: 2 | Skipped (dupe): 0 2026-05-16 12:00:12,766 [INFO] httpx: HTTP Request: POST https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/pieces_sync_watermark "HTTP/2 200 OK" 2026-05-16 12:00:12,768 [INFO] watermark: Watermark (table) updated: workstream_summaries @ 2026-05-16T16:00:12.709470+00:00 | 2 records 2026-05-16 12:00:12,776 [INFO] main: Collection workstream_summaries complete: {"collection": "workstream_summaries", "source_system": "pieces_workstream_summary", "total_in_pieces": 123, "assembled": 2, "inserted": 2, "skipped_dupe": 0, "skipped_empty": 0, "skipped_stale": 121} 2026-05-16 12:00:12,776 [INFO] main: ======================================== 2026-05-16 12:00:12,776 [INFO] main: Running collection: conversations 2026-05-16 12:00:12,777 [INFO] main: ======================================== 2026-05-16 12:00:12,777 [INFO] col.conversations: [conversations] Starting incremental sync... 2026-05-16 12:00:12,834 [INFO] httpx: HTTP Request: GET https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/pieces_sync_watermark?select=last_synced_at&collection=eq.conversations "HTTP/2 200 OK" 2026-05-16 12:00:12,836 [INFO] col.conversations: [conversations] Watermark: 2026-05-13T19:00:16.385669+00:00 2026-05-16 12:00:12,840 [INFO] httpx: HTTP Request: GET http://localhost:39300/conversations "HTTP/1.1 200 OK" 2026-05-16 12:00:12,840 [INFO] col.conversations: [conversations] Found 1 conversations in Pieces OS 2026-05-16 12:00:12,847 [INFO] httpx: HTTP Request: GET http://localhost:39300/conversation/ca9f2b1f-2c49-40ec-a68e-5ef92b0011b8 "HTTP/1.1 200 OK" 2026-05-16 12:00:12,847 [INFO] col.conversations: [conversations] Assembled 0 records (0 empty, 1 stale/watermarked) 2026-05-16 12:00:12,847 [INFO] col.conversations: [conversations] Inserted: 0 | Skipped (dupe): 0 2026-05-16 12:00:12,847 [INFO] main: Collection conversations complete: {"collection": "conversations", "source_system": "pieces_conversation", "total_in_pieces": 1, "assembled": 0, "inserted": 0, "skipped_dupe": 0, "skipped_empty": 0, "skipped_stale": 1} 2026-05-16 12:00:12,847 [INFO] main: ======================================== 2026-05-16 12:00:12,847 [INFO] main: Running collection: annotations 2026-05-16 12:00:12,847 [INFO] main: ======================================== 2026-05-16 12:00:12,848 [INFO] col.annotations: [annotations] Starting incremental sync... 2026-05-16 12:00:12,904 [INFO] httpx: HTTP Request: GET https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/pieces_sync_watermark?select=last_synced_at&collection=eq.annotations "HTTP/2 200 OK" 2026-05-16 12:00:12,905 [INFO] col.annotations: [annotations] Watermark: 2026-05-16T15:00:11.454060+00:00 2026-05-16 12:00:12,966 [INFO] httpx: HTTP Request: GET http://localhost:39300/annotations "HTTP/1.1 200 OK" 2026-05-16 12:00:12,978 [INFO] col.annotations: [annotations] Found 344 annotations in Pieces OS 2026-05-16 12:00:12,979 [INFO] col.annotations: [annotations] Assembled 5 records (0 empty, 339 stale/watermarked) 2026-05-16 12:00:14,803 [INFO] httpx: HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK" 2026-05-16 12:00:14,985 [INFO] httpx: HTTP Request: POST https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/memories?on_conflict=content_hash&columns=%22content_hash%22%2C%22memory_type%22%2C%22source%22%2C%22content%22%2C%22source_id%22%2C%22confidence%22%2C%22device%22%2C%22domains%22%2C%22agents%22%2C%22embedding%22%2C%22projects%22%2C%22created_at%22 "HTTP/2 201 Created" 2026-05-16 12:00:14,988 [INFO] col.annotations: [annotations] Inserted: 4 | Skipped (dupe): 1 2026-05-16 12:00:15,049 [INFO] httpx: HTTP Request: POST https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/pieces_sync_watermark "HTTP/2 200 OK" 2026-05-16 12:00:15,050 [INFO] watermark: Watermark (table) updated: annotations @ 2026-05-16T16:00:14.989962+00:00 | 4 records 2026-05-16 12:00:15,059 [INFO] main: Collection annotations complete: {"collection": "annotations", "source_system": "pieces_annotation", "total_in_pieces": 344, "assembled": 5, "inserted": 4, "skipped_dupe": 1, "skipped_empty": 0, "skipped_stale": 339} 2026-05-16 12:00:15,060 [INFO] main: ======================================== 2026-05-16 12:00:15,060 [INFO] main: Running collection: tags 2026-05-16 12:00:15,060 [INFO] main: ======================================== 2026-05-16 12:00:15,060 [INFO] col.tags: [tags] Starting incremental sync... 2026-05-16 12:00:15,116 [INFO] httpx: HTTP Request: GET https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/pieces_sync_watermark?select=last_synced_at&collection=eq.tags "HTTP/2 200 OK" 2026-05-16 12:00:15,117 [INFO] col.tags: [tags] Watermark: 2026-05-16T15:00:19.663616+00:00 2026-05-16 12:00:15,875 [INFO] httpx: HTTP Request: GET http://localhost:39300/tags "HTTP/1.1 200 OK" 2026-05-16 12:00:15,909 [INFO] col.tags: [tags] Found 6249 tags in Pieces OS 2026-05-16 12:00:15,917 [INFO] col.tags: [tags] Assembled 375 records (0 empty, 5874 stale/watermarked) 2026-05-16 12:00:17,609 [INFO] httpx: HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK" 2026-05-16 12:00:18,389 [INFO] httpx: HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK"

[Command-Line Output] Pieces OS - Memz Ingester Mode: incremental Collection: all active Dry run: False Log file: D:\ClaudeDev\00_GITHUB\pieces-integration\ingester\logs\ingest-all-202605 [INFO] main: Memz baseline row count: 73231 [INFO] col.workstream_summaries: Assembled 2 records (0 empty, 121 stale/watermarked) [INFO] main: Running collection: conversations [conversations] Starting incremental sync... [conversations] Found 1 conversations in Pieces OS [conversations] Assembled 0 records (0 empty, 1 stale/watermarked) [INFO] main: Running collection: annotations [annotations] Starting incremental sync... [annotations] Found 344 annotations in Pieces OS [annotations] Assembled 5 records (0 empty, 339 stale/watermarked) [annotations] Inserted: 4 | Skipped (dupe): 1 [INFO] main: Running collection: tags [tags] Starting incremental sync... [tags] Found 6249 tags in Pieces OS [tags] Assembled 375 records (0 empty, 5874 stale/watermarked)

up a client's too. So when we think about this, realistically there are six pillars that make the operating system in my estimation. And effectively what they are is the models that you're using, the plans that you're on. So for example, I use ChatGPT, but am I doing that with an API or am I just paying...

Screen: INPUT STREAM Claude Noteb SKILLS ChatGPT Supabase DATA FLOW Codex Obsidian GEAR.WORK @ CORE: CLAUDE vl.3 GEAR RATIO Gemini O Telegram STIONEER DeepSeek FEAR RATIO OpenRouter YouTube Firecrawl DATA FFLIOW: • PEAK .LLIVE of • CIRCULATION MODELS ; • THO AGES OF SEA. LABEILS Pinecone Zapier Claude NotebookLM THE BLIND SPOTS You can't see your own AI OSO Nine things you guess at every day. None of them have a number. SPEND What did this month cost VARIABLE GUESSED How much window is left ? SAVINGS Where can I save NGS How much am I actually making LEAKING FAT REVENLJE FUZZY NENORY BLIND SKILLS Which skills actually pay Is the model on stale docs THE BLIND SPOTS You can't see your own AI OSO Nine things you guess at every day. None of them have a number. SPEND 'Nhat did this month cost S? S/HONT

for clients, you can get this specifically for them. And you can see ROI, how much time they're saving based on their skills, right? The skills that they're using in that system. Um, all that beautiful information when we understand how much their time is worth. So it's really, really cool to pull that.

Speaker 1: So realistically we need to get a good view of how you're using the models, what models you're using, where's your data, what's your intelligence, and based on your unique situation, we can find specific recommendations to help you take it to the next level. And what's really cool about this whole system, by the way, is when you onboard...

It's like intelligence about how you're using everything with AI, which is really freaking cool. And the reason for this is that every builder, myself, you, we all build slightly differently, right? And therefore our intelligence should be slightly different. What will be great for Jack might be different than what's great for you and your...

actually recommend to you specifics that you should be doing based on your conversations. It's like a meta-skill, and it's kind of linked to Claude's dreaming feature that they're going to be releasing. I'm going to show you how I think this takes it a cool step further using those kinds of principles. And what will this unlock?

outdated information and memory. What is connected? Am I on the right here? Um, what are the opportunity gaps based on the conversations you're having with models? So what's really cool about this self-improving memory system is that like if you're talking about stuff with an AI and you don't have a skill, this will actually

...your own AI operating system. So there's a lot of stuff that you guess at, right? Like, what did I spend this month in tokens? Where can I save? How much money am I making with this stuff? What does it look like? When will I run out? What skills are worth my time? Is the model using...

Screen: SKILLS OCOOOOI ChatGPT Supabase II INPUT STREAM Claude NotebookL 1 / 14:45 DATA FLOW Codex Obsidian GEAR. WORK CORE: CLAUDE vl.3 GEAR RATIO Gemini O Telegram STIONEER DeepSeek 5.3.q• FEAR RATIO OpenRouter YouTube Firecrawl DATA FFLIOW: • PEAK .LLIVE of CIRCULATION MODELS ; • THO AGES OF SEA. LABEILS Pinecone Zapier NotebookLM II Q)) _ 1:45/ 14:45 88 YouTube o localhost:8791/claude-os-presentation.htrnl G Dubai Stream • Skoal Finance D General D Watchlist D AdS Competitor links Trends Desisign Virgin Virgin Atlantic All Bookmarks • JACK ROBERTS CLAUDE OS . Cl@ude Code operating system Read-only. Local-first. Sees everything Anthropic's cloud Dreaming can't. CONNECTORS Notion PROCESSOR b4 MEMORY GEAR MODELS C NotebookLM DATA now OpenAi supabase DATA CLAUDE OS Pinecone Obsidian EOENSs SKILLS

you and unlocks things that you couldn't really unlock outside of that. So it's one place for everything to flow together across everything from Claude, ChatGPT, Codex, Gemini, DeepSeek, it doesn't matter what you're in, this brings everything together and actually is the future of how we'll use models. So, um, you can't

have all the models that you're using, everything you're connected to, all of your individual memory systems, local, Obsidian RAG, you think of it, Karpathy RAG, Pinecone, all this stuff, all of your skills, your usage, all this intelligence together in one simple place that gives you

Speaker 1: ...as it we connect your world visually in one single location instead of having separate disconnected pockets of intelligence that are not basically thriving together and bringing one unique overview. What we do is bring that all together so we have...

Exactly what all this is, how this all connects together, and why it's so important. So, let's think about this for a second. The Cloud Code Operating System. How does it work, and what do I mean when I say Cloud Code Operating System? So, the general idea of the OS, the operating system...

So this is the Claude Code operating system. I'm going to tell you exactly why you need to have one and how you build one that looks something a little bit like this and how it all functions together. Because basically it carries all the information data that you didn't even know that you physically needed. And I'm going to go through...

Screen: o s c SI Ads Manager - Man.. Ask Gemini O Developers Call Tracking o Work x 2; youtube.com/watch?v=MAuLQzcMrS0 •Claude (MCP) Claude (MCP) A Extract ad wamings... •Claude (MCP) Search Extract YouTube video t... 948 oo Share Merlino Marketing -... Q Hermes Agent o HAS - Das... + Create Wltnout an Agentic us Chase Al 119K views • 11 days ago Hermes Agent powered by local models on the DGX Spark is Alex Finn 26K views • 3 days ago New 6 Claude Tools That Put You Ahead of 99% of People - The .„ Dr Jim Kennedy 40K views • 13 days ago STOP Using Claude Code Without This Chase Al 10K views • 13 hours ago New Hermes Agent: Zero to Personal Al Assistant (1 Hour Course) Nate Herk I Al Automation e 113K views • 6 days ago New Hermes [goal is insane.„ just watch David Ondrej 4.3K views • 3 hours ago Ne

...you'll also understand... it's like a... together across everything from Claude, ChatGPT, Codex, Gemini, DeepSeek... bottom. So, let's think about this for a second. The Claude Code... just show you the stuff that actually works. So if you haven't already, grab that beautiful coffee, let's dive straight...

[Web Browser Content] Claude Code FULL COURSE (Build & Sell) — The Curriculum Course Modules: - Mindset shifts - What actually matters - The patterns I'd steal first - Positioning that works - The follow-up system - My actual playbook - Client delivery flow - Pricing framework Bonus Files (11 Freebies): - CLAUDE.md production template - Hook configurations - Plan Mode prompt library - Token optimization cheatsheet - Real cost breakdown - $30K+ proposal script - Custom MCP server starter - Website build prompt chain - Decision tree (Code vs Cowork vs Chat vs Managed Agents vs API) - Pricing framework + invoice templates Where to go next: - Skool community - Weekly live builds - How to keep learning Instructor: Jack Roberts (AI Automations with Jack)

I want it to think, what kind of recommendations do I want it to give me? You codify that sort of stuff. Then you have the morning and evening, so how frequently, when do you want it to run? Web search during Dream is good because I like to personally enrich with new things. Synthesis is like, "Jack, you know, you're spending quite a lot of time..."

Screen: Claude Code FULL COURSE (Build & sell) Proven AI Systems øAo claude-code-curriculum-deploy.vercel.app o COUR COURSE OURSE URSE FULL COURSE COURSE COURSE JUMP n kedln TO 01 Foundation Apify 02 Website Discord 03 Power Features 04 Memory 05 ClaudeBot 06 Apps WhatsApp 07 Build Anything Zapier 08 Design Make 09 Com PayPal 31 Calendar YouTube roven AI Systems THE CURRICULUM 10 PARTS 65 LESSONS HOURS Install Claude Code 1.1 • Desktop app download • Terminal install path • First-run + API key Permission modes 1.4 • Before Edits (safe default) • Edit Automatically (speed) • Bypass (live builds only) The interface tour 1.2 • Sidebar + settings Terminal vs GUI • Antigravity vs VS Code • The 5 Claude surfaces 1.5 • Chat • Cowork • Claude Code • Managed Agents • API • When to reach for which Free vs P

or ChatGPT or Codex, so it can actually surface those things to me and tell me what I need. And also it looks at business outcomes and tries to understand context and what you're focusing on. Then we've got basically you just set the frequency, so once you've kind of designed your own dreaming system, which is like, how do I want to...

...design systems, for example. This is a free resource that I built that might be useful for you. Um, and basically all this does, if I just pull this up right now you can see, um, just basically codifies what brilliant design looks like. So if there are other design repos, I would love to know about them. So it's good for me if I'm doing a lot of design work with clients.