Education
Running a blog with AI agents at publishing velocity is an architectural problem, not a writing problem. The gap between what most content teams produce and what's possible isn't talent or budget; it's the coordination layer between every stage of production. Most companies publishing
Education
Automation tools and agentic tools are not competing answers to the same problem. They handle categorically different types of work, which means the question is not which one to pick: it is understanding where each one stops and what happens to the work that falls outside its range. Most businesses
Education
Revenue operations automation, applied to the wrong layer first, doesn't give RevOps teams their time back. It gives them wrong data, faster. The weekly forecast that still needs manual adjustment before it goes to leadership, the pipeline report that still takes half a day to prepare, the CRM
Education
Account management automation is the practice of delegating the repeatable coordination, monitoring, and documentation tasks in an account manager's role to an AI agent, so the AM can focus on the relationship work only a human can do. Most B2B SaaS account managers spend more hours pulling renewal
Education
The content lag is the gap between when engineering ships a feature and when marketing publishes about it. In fast-moving teams that deploy every day, that gap runs weeks. The information needed to write an accurate brief exists right at the moment of ship: in the pull request, the
Education
Incident response automation is the practice of handling system failures through predefined software procedures, reducing the decisions that require human intervention. In practice, that means alert rules that trigger runbooks, runbooks that kick off remediation sequences, and escalation paths that page an engineer when the automation cannot proceed. That system
Education
Human-in-the-loop AI automation is the practice of embedding human decision points into an AI pipeline at positions where machine judgment alone carries unacceptable risk. Most operators get the calibration wrong in one of two directions: they gate every step and call it governance, or they gate nothing
Education
How AI agents on engineering surfaces close the lag between feature-shipped and content-published. Five rules for the lane.
Education
Most AI agents look broken early on because they're untrained, not broken. Onboarding an AI agent is closer to managing a new hire than configuring a tool. Seven rules from running specialist agents at Pazi.
Troubleshooting
Production AI agents fail differently than apps. They fail silent: runs show green, dashboards say success, users see nothing. Five failure modes from real incidents in our agent runtime, and the cron, tool, inbound, prompt, and timeout instrumentation that surfaces each one.
product
The AI teammate whose one job is watching. Read-only on your infrastructure and your database. Files tickets, spots abuse, and hands the right work to the right person.
product
Goals let you give any agent a measurable target and a deadline, turning it from a reactive assistant into something that tracks progress on its own.