Search across every Lumen AI article — titles, summaries, tags, and full text.
14 results
How AI pricing models really work — per-seat, credit packs, token metering, and usage tiers — plus how to estimate cost before you commit and avoid the classic overage traps.
The methodology behind every review on this site — the seven scoring criteria, the standard test prompts, how we handle vendor relationships, and what we refuse to score.
A practical, priced AI toolkit for small businesses — marketing, customer support, bookkeeping admin, and sales — with what to adopt first and what to skip.
A tested list of genuinely free AI tools for writing, images, video, coding, research, and audio — including what each free tier actually limits.
An in-depth, hands-on comparison of ChatGPT and Claude across writing, reasoning, coding, vision, pricing, and privacy. Find out which AI assistant fits your workflow.
A practical checklist for vetting any AI vendor's security and privacy practices before adopting it, covering data training, retention, compliance, and access control.
How resource-constrained nonprofits are using AI for grant writing, donor communications, and budgeting in 2026, including free and discounted options.
How healthcare administrative teams use AI for clinical scribing and scheduling in 2026, and the HIPAA compliance boundaries that shape what's actually deployable. Not medical or legal advice.
A cautious, practical guide to how lawyers use AI for drafting and document review in 2026, and the hallucination and privilege risks every firm must manage. Not legal advice.
How recruiters use AI for sourcing and resume screening in 2026, and the bias and compliance risks hiring teams need to manage before deploying it.
How ecommerce teams use AI to generate product content, automate customer support, and personalize merchandising in 2026, with a realistic look at limitations.
A practical look at how real estate agents and brokerages use AI for listing descriptions, photo enhancement, and CRM follow-up in 2026.
How teachers are using AI for lesson planning and grading support in 2026, plus the classroom policy questions schools still need to answer.
A practical comparison of open-weight models like Llama, Mistral, and Qwen against closed frontier models from OpenAI, Anthropic, and Google, covering cost, control, and capability tradeoffs.
