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    <title>Shakedew</title>
    <description>AI-native agency helping businesses identify, automate, and scale with practical AI systems.</description>
    <link>https://shakedew.com</link>
    <language>en-US</language>
    <lastBuildDate>Thu, 16 Apr 2026 20:53:24 GMT</lastBuildDate>
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      <title><![CDATA[AI Roadmap Series: Step 2 - AI Value]]></title>
      <description><![CDATA[AI value isn't just about productivity. Learn how CIOs can align AI with strategy, divide problems into small projects, and control rising AI costs.]]></description>
      <link>https://shakedew.com/posts/ai-roadmap-series-step-2-ai-value</link>
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      <pubDate>Sat, 20 Sep 2025 00:00:00 GMT</pubDate>
      <author>hello@shakedew.com (Federico Scuoteguazza - Shakedew Team)</author>
      <category>AI value</category>
      <category>AI roadmap</category>
      <category>AI business strategy</category>
      <category>AI cost management</category>
      <category>AI adoption challenges</category>
      <category>AI ROI</category>
      <category>AI project prioritization</category>
      <category>AI for CIOs</category>
      <category>Generative AI value</category>
      <category>AI productivity gains</category>
      <category>AI in customer support</category>
      <category>AI in retail</category>
      <category>AI in finance</category>
      <category>AI strategy alignment</category>
      <category>AI transformation costs</category>
      <category>divide and conquer AI</category>
      <category>AI implementation roadmap</category>
      <category>AI cost overestimation</category>
      <category>AI project ROI measurement</category>
      <category>AI financial engineering</category>
      <category>anomaly detection AI</category>
      <category>natural language processing AI</category>
      <category>image recognition AI</category>
      <category>AI proof of concept costs</category>
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    <item>
      <title><![CDATA[AI Roadmap Series: Step 1 - AI Strategy]]></title>
      <description><![CDATA[Learn how to create a real AI strategy by avoiding fluff and focusing on critical business challenges. Step 1 in Gartner's AI Roadmap explained.]]></description>
      <link>https://shakedew.com/posts/ai-roadmap-series-step-1-ai-strategy</link>
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      <pubDate>Tue, 16 Sep 2025 00:00:00 GMT</pubDate>
      <author>hello@shakedew.com (Federico Scuoteguazza - Shakedew Team)</author>
      <category>AI strategy</category>
      <category>AI roadmap</category>
      <category>Gartner AI roadmap</category>
      <category>AI implementation</category>
      <category>business strategy for AI</category>
      <category>AI adoption</category>
      <category>AI challenges</category>
      <category>AI project planning</category>
      <category>AI governance</category>
      <category>AI value creation</category>
      <category>AI engineering</category>
      <category>AI data strategy</category>
      <category>Good strategy bad strategy AI</category>
      <category>AI organization structure</category>
      <category>AI people and culture</category>
      <category>AI for executives</category>
      <category>AI business transformation</category>
      <category>AI leadership</category>
      <category>AI decision making</category>
      <category>how to build AI strategy</category>
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    <item>
      <title><![CDATA[Everyone Knows Notion: Building an Onboarding Hub That Actually Works]]></title>
      <description><![CDATA[Notion has become the go-to tool for everything from note-taking to project management. Here's how we built a practical onboarding hub that actually works for new hires and contractors.]]></description>
      <link>https://shakedew.com/posts/everyone-knows-notion-building-an-onboarding-hub-that-actually-works</link>
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      <pubDate>Tue, 09 Sep 2025 00:00:00 GMT</pubDate>
      <author>hello@shakedew.com (Federico Scuoteguazza - Shakedew Team)</author>
      <category>notion</category>
      <category>onboarding</category>
      <category>productivity</category>
      <category>team-management</category>
      <category>workflow-optimization</category>
      <category>employee-experience</category>
      <category>process-automation</category>
      <category>business-tools</category>
      <category>project-management</category>
      <category>team-collaboration</category>
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    <item>
      <title><![CDATA[From CSVs to Strategy: How AI Can Transform Financial Reviews for Leaders]]></title>
      <description><![CDATA[Transform simple CSV files into real-time financial insights with AI-powered dashboards. Leaders can now review financials in seconds, not weeks.]]></description>
      <link>https://shakedew.com/posts/from-csvs-to-strategy-how-ai-can-transform-financial-reviews-for-leaders</link>
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      <pubDate>Mon, 01 Sep 2025 00:00:00 GMT</pubDate>
      <author>hello@shakedew.com (Shakedew Team - Federico Scuoteguazza)</author>
      <category>AI financial analysis</category>
      <category>leadership financial dashboard</category>
      <category>P&L analyzer</category>
      <category>AI insights for leaders</category>
      <category>AI business intelligence</category>
      <category>financial reporting automation</category>
      <category>real-time financial insights</category>
      <category>AI-powered dashboards</category>
      <category>CSV financial analysis tool</category>
      <category>AI for leaders</category>
      <category>AI for decision making</category>
      <category>automated financial reports</category>
      <category>AI in corporate finance</category>
      <category>AI financial tools</category>
      <category>Next.js financial app</category>
      <category>AI profitability analysis</category>
      <category>AI in business strategy</category>
      <category>leadership productivity tools</category>
      <category>AI business dashboards</category>
      <category>AI financial proof of concept</category>
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      <title><![CDATA[How to Validate a Brand in 20 Minutes with Google's NanoBanana AI Model]]></title>
      <description><![CDATA[Speed is everything in business. Learn how to validate a brand in minutes—with a full brand kit—without opening Photoshop or hiring a freelancer using Google's new NanoBanana model.]]></description>
      <link>https://shakedew.com/posts/how-to-validate-a-brand-in-20-minutes-with-googles-nanobanana-ai-model</link>
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      <pubDate>Thu, 28 Aug 2025 00:00:00 GMT</pubDate>
      <author>hello@shakedew.com (Federico Scuoteguazza - Shakedew Team)</author>
      <category>Google NanoBanana model</category>
      <category>AI branding generator</category>
      <category>brand validation with AI</category>
      <category>AI design tools</category>
      <category>Google AI Studio branding</category>
      <category>Gemini 2.5 Flash Image</category>
      <category>AI for startups</category>
      <category>AI-generated brand assets</category>
      <category>branding proof of concept</category>
      <category>AI for marketers</category>
      <category>AI-powered design</category>
      <category>validate brand idea fast</category>
      <category>branding automation tools</category>
      <category>AI design proof of concept</category>
      <category>rapid brand prototyping</category>
      <category>AI marketing tools</category>
      <category>build brand with AI</category>
      <category>AI creative tools</category>
      <category>brand kit generator</category>
      <category>AI in product validation</category>
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      <title><![CDATA[Small, Fast, and Capable: How a 300 MB Model Moderated a Live Twitch Chat]]></title>
      <description><![CDATA[If you think you need a billion-parameter giant to solve real problems, here's a counter‑example: I spun up a content moderation bot for Twitch using Gemma 3 and had it running in hours.]]></description>
      <link>https://shakedew.com/posts/small-fast-and-capable-how-a-300-mb-model-moderated-a-live-twitch-chat</link>
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      <pubDate>Mon, 25 Aug 2025 00:00:00 GMT</pubDate>
      <author>hello@shakedew.com (Federico Scuoteguazza - Shakedew Team)</author>
      
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    <item>
      <title><![CDATA[Beyond Workflows: Why AI Agents Are the Next Leap for Business Leaders]]></title>
      <description><![CDATA[Discover why AI agents—not workflows—are the real leap for business leaders. Learn how agents adapt, interpret, and free teams to focus on high-impact work.]]></description>
      <link>https://shakedew.com/posts/beyond-workflows-why-ai-agents-are-the-next-leap-for-business-leaders</link>
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      <pubDate>Fri, 22 Aug 2025 00:00:00 GMT</pubDate>
      <author>hello@shakedew.com (Federico Scuoteguazza - Shakedew Team)</author>
      <category>AI agents</category>
      <category>workflow automation vs AI</category>
      <category>AI for executives</category>
      <category>business leaders AI adoption</category>
      <category>AI email assistant</category>
      <category>AI productivity tools</category>
      <category>future of AI in business</category>
      <category>AI vs automation</category>
      <category>adaptive AI agents</category>
      <category>AI for decision makers</category>
      <category>AI business strategy</category>
      <category>AI agents examples</category>
      <category>AI collaboration tools</category>
      <category>AI tools for executives</category>
      <category>AI-driven business transformation</category>
      <category>AI assistants in workplace</category>
      <category>AI adoption strategy</category>
      <category>AI in business operations</category>
      <category>AI agent benefits</category>
      <category>AI-powered workflows</category>
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    <item>
      <title><![CDATA[Unlocking AI's Business Potential: The Rise of Model Context Protocol (MCP)]]></title>
      <description><![CDATA[Tired of AI promises falling flat due to clunky integrations? Model Context Protocol (MCP) is here to change that. It's the universal connector making AI agents enterprise-ready.]]></description>
      <link>https://shakedew.com/posts/unlocking-ais-business-potential-the-rise-of-model-context-protocol-mcp</link>
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      <pubDate>Wed, 20 Aug 2025 00:00:00 GMT</pubDate>
      <author>hello@shakedew.com (Federico Scuoteguazza - Shakedew Team)</author>
      <category>Model Context Protocol</category>
      <category>MCP</category>
      <category>AI integration</category>
      <category>enterprise AI</category>
      <category>AI connectors</category>
      <category>business automation</category>
      <category>CRM integration</category>
      <category>ERP integration</category>
      <category>AI security</category>
      <category>data silos</category>
      <category>real-time data</category>
      <category>ChatGPT integration</category>
      <category>Claude AI</category>
      <category>Salesforce AI</category>
      <category>NetSuite AI</category>
      <category>Box AI</category>
      <category>Check Point cybersecurity</category>
      <category>AI scalability</category>
      <category>vendor lock-in</category>
      <category>business ROI</category>
      <category>customer support AI</category>
      <category>marketing automation</category>
      <category>e-commerce AI</category>
      <category>AI use cases</category>
      <category>building MCP</category>
      <category>AI strategy</category>
      <category>C-suite tech</category>
      <category>digital transformation</category>
      <category>Anthropic MCP</category>
      <category>AI efficiency</category>
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    <item>
      <title><![CDATA[No More Excuses: OpenAI’s Thinking Models Go Open Source]]></title>
      <description><![CDATA[I tested OpenAI’s new open-source “thinking” models and had one running locally on my MacBook Pro in under 20 minutes. No cloud, no data leaving my laptop.]]></description>
      <link>https://shakedew.com/posts/no-more-excuses-openais-thinking-models-go-open-source</link>
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      <pubDate>Tue, 19 Aug 2025 00:00:00 GMT</pubDate>
      <author>hello@shakedew.com (Federico Scuoteguazza - Shakedew Team)</author>
      <category>OpenAI open source models</category>
      <category>gpt-oss 20b</category>
      <category>open source AI</category>
      <category>AI thinking models</category>
      <category>Ollama AI</category>
      <category>AI data security</category>
      <category>local AI deployment</category>
      <category>on-premise AI</category>
      <category>AI compliance</category>
      <category>private AI</category>
      <category>AI for SMBs</category>
      <category>SMB AI strategy</category>
      <category>AI adoption in enterprises</category>
      <category>enterprise AI challenges</category>
      <category>AI for business leaders</category>
      <category>open source AI benefits</category>
      <category>AI flexibility vs features</category>
      <category>AI productivity tools</category>
      <category>AI integration challenges</category>
      <category>secure AI solutions</category>
      <category>Running OpenAI models locally with Ollama</category>
      <category>SMB benefits of open source AI</category>
      <category>OpenAI vs enterprise AI adoption</category>
      <category>AI data security for SMBs</category>
      <category>How enterprises can adopt open source AI</category>
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