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We Replace Agent-Visible Secrets With Controlled Service Access
AI4SALE replaces one agent credential path with constrained service operations, approval binding, controlled cutover, adversarial tests, and recovery evidence.
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Company Memory for Sales: What the Agent Should Know
A minimum sales-memory contract that gives an agent useful account context without mixing inference, sensitive data, stale claims, or unauthorized actions.
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The 30-Day Path From Manual Task to Reliable Agent
A weekly 30-day calendar for moving one manual task through observation, specification, shadow mode and limited agent action.
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Designing an AI Agent That Can Prove It Finished
Create a portable completion receipt that binds an exact request to action evidence, target-state read-back and independent verification.
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AGENTS.md: Defining Repository Rules for AI Agents
A practical root-and-subtree instruction design that gives coding agents durable commands, boundaries, verification steps, and review expectations.
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Agent Handoffs: Where Multi-Step Automations Break
Treat each agent handoff as a versioned contract with provenance, receiver-side acceptance, controlled rejection and recovery.
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When a Human Must Stay in the Agent Loop
Place human review at the consequence boundary, give approvers useful evidence and reduce oversight only when results support it.
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How to Measure an AI Agent Without Vanity Metrics
Build an agent scorecard around accepted outcomes, correction debt, exceptions and consequences instead of activity volume.
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A Practical Permission Model for AI Agents
A capability-based model for agent access that separates observation, proposal, approved execution, bounded execution, and denial.
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