Chatbots vs. AI Agents: Choosing the Right Level of Automation
An architectural taxonomy comparing conversational chatbots with autonomous tool-calling AI agents across interaction paradigms, state persistence, and security risks.
An architectural taxonomy comparing conversational chatbots with autonomous tool-calling AI agents across interaction paradigms, state persistence, and security risks.
A quantitative decision matrix for prioritizing enterprise AI agent use cases across business value, technical feasibility, data readiness, and security risk.
A step-by-step playbook for selecting, scoping, and governing initial enterprise AI agent pilots with narrow boundaries and human review gates.
A vendor-neutral RFP evaluation checklist for selecting commercial enterprise AI agent platforms, covering auditability, RBAC, telemetry, and multi-model support.
A technical design guide for implementing multi-layered guardrails in autonomous AI agent systems, covering input filtering, schema enforcement, tool permissions, and sandboxing.
A vendor-neutral framework for evaluating custom in-house AI agent development versus commercial platform procurement, covering TCO, engineering maintenance, and security governance.
Industry
A practical, evidence-based look at where AI genuinely helps in healthcare—patient navigation, documentation, operations—and the oversight each use requires.
AI Workers
How much does an AI worker cost? Compare the four pricing models, catch the five hidden costs, and run a simple ROI calculation before you commit.
Comparisons
Zapier connects apps with rules-based workflows. Spinnable gives you an AI worker that thinks and decides. Here's how to know which one your business needs.
Engineering
Engineering teams lose 20-30% of the week to coordination. Here are four workflows an AI worker can own — standups, PR triage, docs, and reporting.
Product
How product teams hand feedback synthesis, PRD drafts, sprint prep, and weekly reporting to an AI worker — without turning PMs into prompt engineers.
Finance
How finance teams automate reconciliation follow-up, reporting, and monthly close coordination with AI workers — without giving up control or review.