Ai-agents

The 90-Day AI Agent Deployment Playbook That Actually Works
- Larry Brooks
- AI Automation, Software
- 07 May, 2026
Twelve months is too long to deploy your first AI agent. Two weeks is too fast to deploy one that works. The organizations getting the best results operate on a 90-day cycle: define, build, deploy, a
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AI Agents Will Not Replace Managers. They Will Expose the Ones Who Were Never Managing.
- Larry Brooks
- Strategy, Technology
- 04 May, 2026
An operations manager at a logistics company spent 70% of his time on three activities: checking task completion across teams, compiling status reports for leadership, and routing work to the appropr
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Your First AI Agent Should Not Be Customer-Facing. Here's What It Should Be.
- Larry Brooks
- AI Automation, Strategy
- 30 Apr, 2026
The instinct is understandable. You see AI agents handling customer conversations, booking meetings, and resolving support tickets. You want that for your organization. So your first agent project is
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How to Measure AI Agent ROI Without Fooling Yourself
- Larry Brooks
- Data, Strategy
- 27 Apr, 2026
The vendor says your AI agent will save $300,000 per year. Your CFO asks for proof. You pull together a spreadsheet that shows headcount reduction, efficiency gains, and volume improvements. The numb
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We Tested 7 AI Agent Platforms. Only 2 Were Ready for Production.
- Larry Brooks
- Software, Technology
- 20 Apr, 2026
Every AI agent platform promises the same thing: build powerful agents without the complexity. Deploy in hours, not months. Enterprise-ready out of the box. We tested seven of them against real produ
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AI Agent Security: What Happens When an Autonomous System Has Access to Your Business Data?
- Larry Brooks
- Technology, Strategy
- 16 Apr, 2026
An AI agent that cannot access your systems is useless. An AI agent with unrestricted access to your systems is dangerous. The entire value proposition of autonomous agents lives in the space between
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How AI Agents Are Eliminating the Bottleneck Between Data and Decisions
- Larry Brooks
- AI Automation, Data
- 13 Apr, 2026
Your organization collects more data than ever. Your team makes decisions slower than ever. The bottleneck is not information — it is the human process of gathering, analyzing, interpreting, and acti
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The Real Cost of Building an AI Agent In-House vs. Hiring an Expert
- Larry Brooks
- Strategy, AI Automation
- 09 Apr, 2026
A VP of Engineering told us his team could build their AI agent in eight weeks for $40,000. Fourteen months and $187,000 later, the agent handled 30% of the cases it was designed for. He called us th
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Why Your AI Agent Project Failed (It Wasn't the Technology)
- Larry Brooks
- AI Automation, Strategy
- 06 Apr, 2026
The AI agent worked perfectly in the demo. It failed completely in production. The team blamed the model. The vendor blamed the data. The executive sponsor quietly moved on to the next initiative. T
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What Are AI Agents and Why Is Every Fortune 500 Company Building Them Right Now?
- Larry Brooks
- AI Automation, Technology
- 02 Apr, 2026
An AI agent is not a chatbot. It is not a workflow automation. It is not a smarter search bar. An AI agent is a software system that receives a goal, plans its own approach, makes decisions, takes ac
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How to Build an AI Agent That Actually Does What You Need (Not What the Demo Showed)
- Larry Brooks
- Software, AI Automation
- 30 Mar, 2026
Every AI agent demo looks like magic. The agent answers complex questions, navigates multiple systems, and produces perfect results in 30 seconds. The audience applauds. The budget gets approved. Si
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Can an AI Agent Replace Your Customer Service Team? (The Honest Answer)
- Larry Brooks
- AI Automation, Software
- 23 Mar, 2026
The vendor pitch is seductive: deploy an AI customer service agent, reduce headcount by 70%, and watch your support costs plummet. The pitch is not entirely wrong. But it is dangerously incomplete.
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How We Built an AI Sales Agent That Books Meetings While Your Team Sleeps
- Larry Brooks
- Software, AI Automation
- 19 Mar, 2026
At 2:47 AM on a Tuesday, a VP of Operations at a mid-market SaaS company visited a client's website. She browsed three service pages. She downloaded a case study. She opened the pricing page twice.
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