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Owned by Kevin

AI Automation Innovators

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Serious about AI agents? Build automations and agents that do real work—fast, simple, and powerful. For creators, builders, and solopreneurs.

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8 contributions to AI Automation Society
Would You Give an AI Your Computer? (OpenClaw Lesson)
If an AI agent asked for full system access today… would you say yes? The OpenClaw (formerly Clawdbot) situation exposed something important for all of us building with AI agents: The tension between what these agents can do and what they must be allowed to access to do it. This isn’t about one tool. It’s about how we think about agent architecture going forward. My current stance: Treat an AI agent like a new employee. You don’t hand over master keys on day one. Separate machine or VPS Separate accounts Read-only first Expand trust slowly The demos are exciting. The access model is what deserves scrutiny. You’ve probably seen the examples: - “The agent built my dashboard while I slept” - “It monitors my email and tasks all day” - “It handles things before I even ask” At the same time, security folks are pointing out what happens when new, fast-moving tools with deep access meet misconfiguration and hype. So I want real operator input from this community. Questions 1. Would you ever allow an AI agent to run on a machine that has access to your files and accounts? Why or why not? 2. If you did experiment with this, what safeguards are non-negotiable first? (separate machine, separate accounts, read-only, etc.) 3. After the Clawdbot → Moltbot → OpenClaw rename and chaos, what trust signals would you now require before installing a tool like this? 4.The “AI built this while I slept” demo — exciting, or a red flag? What tasks would you allow full autonomy for, and which tasks would always require your approval? Quick Context A fast-growing AI agent project had to rename due to trademark pressure. During the confusion, scammers and impersonators appeared, and security researchers found exposed control panels where users had misconfigured their setups. At the same time, creators are showing incredible demos of what these agents can do when given deep access. This feels like a real inflection point for how we approach AI agents in real workflows.
99.4% Accuracy Still Lost Client $42,000 🔥
Built document extraction system. 99.4% accuracy on test data. Client lost $42,000 in first month. The 0.6% errors hit their highest-value transactions. WHAT WENT WRONG: System accuracy breakdown: - 99.9% accurate on standard invoices - 96% accurate on invoices $5,000-$10,000 - 91% accurate on invoices $10,000-$50,000 - 87% accurate on invoices over $50,000 The bigger the transaction, the worse the accuracy. And that's where the money was. THE $42,000 INCIDENT: Invoice: $420,000 construction vendor payment Extracted amount: $42,000 (missed a zero) Payment processed: $42,000 Vendor called: "Where's the other $378,000?" Bank reversal fees: $850 Staff time to fix: 12 hours Client trust damage: Severe WHY HIGH-VALUE INVOICES FAIL: - Custom contract formats - Handwritten notes and exceptions - Multi-page complex layouts - Non-standard payment terms - Executive approval signatures All the edge cases. All on the expensive invoices. THE FIX - THREE VALIDATION LAYERS: LAYER 1: Format Validation - Extracted amount matches currency format? - Dates within valid business ranges? - Line items actually sum to total? - All required fields present? LAYER 2: Business Rule Validation - Amount within vendor's 6-month history range? - Payment terms match vendor profile? - Missing PO number for amounts over $5,000? - Unusual discounts or adjustments flagged? LAYER 3: Confidence-Based Routing - High confidence (>95%) + Low value (<$5,000) = Auto-process - Medium confidence (85-95%) OR Medium value ($5-20K) = Review queue - Low confidence (<85%) OR High value (>$20K) = Always human approval RESULTS AFTER IMPLEMENTING LAYERS: - Zero high-value errors: 8 months and counting - Human review required: Only 8% of documents (was 100%) - Processing speed: Still 82% faster than full manual - Errors caught before processing: 23 incidents - Estimated damage prevented: $187,000 THE LESSON: Accuracy percentage means nothing without context. What matters: What happens when it fails? Does it fail safely?
1 like • 19h
This is the trap a lot of builders fall into. We optimize for model accuracy and forget the client only cares about outcomes. If the system doesn’t change behavior or remove work, the metric doesn’t matter.
1.5 Years of Building — Open to Collaborate
Over the past 1.5 years, I’ve been quietly doing the work. Designing. Editing. Refining. Learning what actually makes content clear, engaging, and professional. I’ve worked on: • Social media designs and carousels • Short-form video edits (Reels, TikTok, Shorts) • Community and classroom visuals • Templates that help creators post faster and stay consistent One thing I’ve learned along the way is this: Good visuals don’t shout, they guide. Right now, I’m open to collaborating with: • Online communities • YouTube creators • Brands or founders running social media accounts To make it easy to explore working together, I’m offering one week of creative support at NO COST. Purely to show how I work and the value I bring. Below, I’ll share a few examples of what I’ve been building recently 👇If something resonates, feel free to reach out. Here is my portfolio if you need to check out more work I have done: https://sporez.netlify.app/7tyrq9
1.5 Years of Building — Open to Collaborate
1 like • 19h
Clean positioning. The line “good visuals don’t shout, they guide” says everything about how you think about design.
Stop paying people to do work a $20/month system can finish in seconds. 🛑
Most businesses are still: • Manually scraping leads • Copy-pasting data between tools • Wasting hours on “busy work” that doesn’t close deals That’s exactly why I built the system you see here 👇 It’s a fully automated lead generation engine that: ✅ Pulls high-intent leads directly from Google Maps ✅ Automatically enriches the data using Apify (no manual research) ✅ Sends everything into a clean Google Sheet, ready for your sales team If your sales process still depends on manual work, you’re bleeding time and money without realizing it. I’m opening 2 spots this month to help businesses automate their lead flow. DM “SYSTEM” and I’ll personally send you a breakdown of how this exact automation works.
Stop paying people to do work a $20/month system can finish in seconds. 🛑
1 like • 23h
The hidden cost isn’t tools. It’s owners spending hours every week doing work a simple workflow could handle.
need help regarding first project
after learning how to building workflows and research i got reference from a hospital to build automations , i got the requirement but im confused and feeling low confidence about how can i deliver the project - here's the exact requirements... Share the baseline proposal what you deploy for hospital. 150 bed hospital, with prizing. -Include premium features what you offer multi Language capability -The hospital totally wants to remove the man power with respect to appointments, followup and close the loop -What's app integration, website integration and also hospital EHR integration should be there in capabilities. -Put all the features what you guys have and all capabilities make it full stack
0 likes • 24h
Start with one small repeatable task you do every week and automate only that. Don’t try to build a system yet.
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@kevin-tunis-5919
Founder of AI Automation Innovators. I teach creators to build AI agents and workflows—while balancing family, health, and creative work.

Active 2h ago
Joined Jan 30, 2026
INTP
Greer South Carolina
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