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Ideas for the agentic era
Practical thinking on AI automation, workflow design, and building businesses that run smarter.
How to Add Safety Rails Before AI Agents Run Your Business Workflows
A practical operating guide for deploying AI agents with checkpoints, rollback, approvals, and audit trails before they touch customer-facing workflows.
Two-path retrieval — when not to ask the LLM
Most production chatbots burn tokens on questions a keyword match could answer in milliseconds. Here's a pattern for routing high-confidence intents past the LLM entirely — extracted from a festival chatbot that handled thousands of concurrent users across one weekend.
Voice transcripts to structured data with Claude tool use
Regex breaks. JSON-mode prompting is unreliable. Claude's tool use enforces the schema at decode time — the right primitive for turning sales call transcripts into CRM records, post-call analytics, or any structured downstream you actually want to trust.
Agentic Ops Is Replacing Traditional Automation — Here's Why
The shift from rigid, rule-based workflows to autonomous AI agents is redefining how businesses operate. Learn what agentic ops means and why it matters.
The Real ROI of AI Customer Service in 2026
Forget the hype — here are the actual numbers behind AI-powered customer service, what's working, and what businesses get wrong when calculating returns.
A Practical Guide to Workflow Automation for Small Businesses
No enterprise budget required. A step-by-step guide to identifying, building, and deploying AI-powered workflows that save real time for teams under 50 people.
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