ChatGPT Plus vs Claude Pro vs Google AI Pro: what to choose
A practical comparison of personal AI subscriptions across workflows, limits, research, coding, ecosystems, privacy, total cost, and switching rules.
Claude Pro vs Max vs Team vs Enterprise: which plan to choose
A practical comparison of Claude Pro, Max, Team, and Enterprise across usage, Claude Code, collaboration, identity, security, retention, governance, and total cost.
ChatGPT Business vs Enterprise: which plan should a company choose?
A practical comparison of ChatGPT Business and Enterprise across team scale, identity lifecycle, security, retention, data residency, compliance logs, support, cost, and rollout decisions.
Google AI Plus vs Pro vs Ultra: which Gemini plan to choose
A practical comparison of Google AI Plus, Pro, and Ultra across Gemini limits, context, Deep Research, Notebook, Flow, storage, privacy, and the Google Workspace boundary.
Perplexity Free vs Pro vs Max: what to choose
A practical comparison of personal Perplexity plans across search, Research, models, files, Comet, Computer, privacy, limits, credits, and total cost.
Microsoft Copilot Free vs Personal vs Family vs Premium
A practical comparison of Microsoft Copilot Free and Microsoft 365 Personal, Family, and Premium across chat, Office apps, grounding, AI credits, agents, privacy, account boundaries, and total cost.
ChatGPT Memory vs Projects vs custom GPT knowledge
A practical comparison of ChatGPT Memory, Projects, and custom GPT knowledge: what persists across chats, how to bound context, where sources belong, and how to test deletion and leakage.
How to evaluate an AI image generator: a practical checklist
A reproducible protocol for evaluating AI image generators across prompt adherence, editing, consistency, text rendering, rights, provenance, safety, cost, and rollback.
Product discovery for AI products
AI product discovery validates workflow value rather than a model demo: user need, evidence availability, acceptable errors, human oversight, baseline, economics, and a safe path to deployment.
Evaluating AI vendors
A practical system for selecting an AI vendor: from requirements and a controlled evaluation set to security, contractual safeguards, migration cost, and continuous monitoring after procurement.