Hey builders, hope you're already crushing June. We're busy behind the scenes gathering lots of info on which agent systems and Claw builds are best going to serve you guys. We're reading your interests, expertise, and skill level to get an idea of what systems are useful for you to build, manage, and eventually scale. A couple of aims here that we want all of you to achieve: - You build and use the system for your business/agency. Manage your agents to do your dirty work. - You build further products from one or multiple systems. Once you learn the setup, you can ship fast. This takes reps, so the more you build, the better you get, the clearer the vision becomes. - Once you understand the system yourself, you sell it. As a product, a SaaS, a B2B2C service. This has the highest ROI because you're in control of the setup and there's no ceiling on distribution and sales. Here's a sneak peak of some of the multi agent systems we're building here: - Smart Document Processor - Competitive Intelligence Agent - Lead Scoring & Routing Agent (this one is massive) - Customer Onboarding Automation - AI Outbound SDR Agent - Reddit-to-Content Agent - Digital Product Empire Agent (this is also a killer) - AI Review Response Agent - AI Client Renewal Agent - AI SEO Content Strategist (also huge) Which of the aims resonate with you the most? And what build makes the most sense in your niche that aligns with this aim? Keen to hear, drop your thoughts below.

You know the drill. Hours prepping for a sales call. More hours on the proposal. Then you replay the call in your head wondering what you should've said differently. What if you could compress all of that into ~5 minutes per deal? Meet the Sales Flywheel. A complete 5-phase sales system built into OpenClaw — no coding, no extra tools. Upload once, use on every deal. Phase 1 — Build Your Script Tell OpenClaw what you sell. It writes your elevator pitch, objection responses, qualifying questions, and competitive positioning. Save once, reuse forever. Phase 2 — Research Leads Drop a prospect name + company. OpenClaw pulls intel, trigger events, decision-maker profile, and an approach game plan. Phase 3 — Call Script Have a meeting coming up? OpenClaw merges your base script with the lead research into a tailored call plan — opening hooks, discovery questions, full objection prep. Phase 4 — Proposal Paste the call transcript (manually) or connect Fathom, Granola, Otter.ai, or any meeting recorder via API/MCP. OpenClaw drafts a professional proposal in the prospect's own words — their pain points, pricing, timeline, next steps. Ready to send. Phase 5 — Post-Call Analysis Same transcript feeds here too. OpenClaw scores your closing (1-10), objection handling (1-10), tells you what worked, what didn't, and the one thing to fix before your next call. You'll improve deal after deal. Bottom line: → 8-10 hours of sales prep per deal → ~5 minutes → Every touchpoint tailored to that specific prospect → Every call analyzed so you actually get better This will be only for our paid Skool subscribers, but we are giving access for free for the first 5 people. 👇 Like and Comment "flywheel" and I'll send you the access.

We built a new OpenClaw system that fills a massive gap in bridging ideas, your niche, and turning services into digital products Build an AI system that finds profitable niches in your field, validates demand with market research, and generates ready-to-launch digital products. All from a single prompt. --- A chained OpenClaw agent that: ✅ Market/competitor analysis in your niche using live Reddit, Ebay, and Gumroad research ✅ Produces a launch-ready kit with product landing page ✅ Creates all product/sales assets: a 20+ page walkthrough, email sequences, pricing strategy ✅ Validates demand automatically before building anything ✅ Generates complete products: PDF guides, Notion templates, spreadsheets, and --- 💯 Here's the application: You feed your company brand, audience, and services to the system, it auto researches PMF and your audience appetite, then generates a shortlist of products based on your field The human in the loop (HITL) part here is the main asset: you decide which product/s best fit, then instruct the agent to complete the build. Because you get a full product scope, ICP analysis, and product landing page, you have an MVP to present and use in marketing, client pitches, or branding material. --- The attached test case: a Confidence Pricing System that helps you price you services, creates a useable ROI calculator to show clients, and devises strategies of the when and how to update your value-based pricing for your agency/services. Check out screenshots of the landing page, the live calculator, and the 25 page product document. So much potential here Launching the the Classroom soon

That's the idea behind Mission Control for OpenClaw — and I've fine-tuned and improved a version that runs smoothly. It works like this: you add your tasks to the board, leave the screen, and when you return they've moved to the "Done" column. In the video I'm sharing, it's running 9 agents inside OpenClaw with an external Google Maps scraper connected for lead generation. The results are impressive — you can set it to find 1,000+ leads, step away, and return to either a finished output or a task still in progress. The biggest improvement solves a real problem: OpenClaw typically loses context after about 10 messages. Mission Control fixes that, holding everything together so the full task gets completed instead of stalling halfway. Want it? Comment "Mission Control" below and I'll send you the GitHub repo. 👇

Here's how to use skills in your agents. **My go-to rule for when and why to use skills: if you do something more than twice, turn it into a skill.** Below is a preview from our smart document processing agent. It analyses your documents, reports, invoices to auto extract all your relevant info. FILES: document-processor.skill/ ├── SKILL.md ← Install guide ├── prompts/analyze-document.md ← The agent's brain ├── references/ │ ├── document-types.md ← JSON schemas │ └── extraction-prompts.md ← LLM prompts └── assets/example-output.json ← Sample output 1. Upload the skill to OpenClaw - Settings → Skills → Install → Upload `.skill` file - 30 seconds. Done. 2. Connect Google Sheets Zo computer + Pipedream - Connect Google Drive in Zo computer - Create Pipedream workflow: HTTP → Google Sheets "Append Row" - Copy your webhook URL --- Here's how to run your agent to process your docs In your Telegram agent setup: "Extract all invoices from Sep 2025 to now, only for Europe, only invoices >$10K, extract to Google Sheets: [attach invoice.pdf]" OpenClaw: Retrieval | Invoice # | Vendor | Total | Date 2026-05-22 | INV-14chd7 | Sative Co | $11,117.30 | 2025-11-15 2026-05-22 | INV-14abn5 | Hugger | $13,500 | 2025-12-03 2026-05-22 | INV-15jkk1 | Don's HVAC | $25,000 | 2026-01-22 📊 Sheet: [Link] ``` --- Option 2 – Batch process a folder of invoices In your Telegram agent setup: "Process all invoices in this folder: [attach zip]" OpenClaw: ✓ Processed 15 invoices ✓ Created: Invoice Tracker Q1 2026 ✓ 15 rows added | Total: $33,710 ``` --- Here are the types of docs it can handle |------|-----------------| | Contracts | Parties, obligations, red flags | | Term Sheets | Valuation, ownership, board seats | | NDAs | Parties, scope, duration, exclusions | | Invoices | Line items, totals, due dates | | Financial Reports | Revenue, expenses, KPIs, trends | | Legal Docs | Claims, deadlines, jurisdiction | | Research Papers | Findings, methodology, citations | So much potential here, especially with batch processing of old invoices that you want to integrate into your own system.