Pro-How AI

AI can assist in learning and research.

Top 10 AI Tools Every Librarian Should Know


1. ChatGPT:

AI language model for answering questions, generating summaries, and assisting with reference queries.


2. Elicit:

AI research assistant that helps find, summarize, and organize academic papers.


3. Scholarcy:

Summarizes journal articles, reports, and book chapters into key points for quick review.


4. Perplexity AI:

AI search engine for quickly retrieving information and generating explanations from research content.


5. Scite:

Uses AI to show how research papers are cited, helping librarians evaluate article credibility.


6. QuillBot:

AI writing tool for paraphrasing, summarizing, and improving academic text clarity.


7. Zotero with AI Plugins:

Reference management software enhanced with AI for citation suggestions and organization.


8. Semantic Scholar:

AI-powered academic search engine that highlights influential papers and key findings.


9. EBSCO AI Tools:

Integrated AI features in EBSCO databases for smarter searches and article recommendations.


10. ResearchRabbit:

AI tool for exploring academic literature, visualizing citation networks, and tracking emerging research trends.




Librarians who leverage these AI tools can streamline research assistance, improve collection analysis, and enhance information literacy services.

Let me be honest with you about something most AI "gurus" won't say:

AI makes things up. Confidently. Convincingly. And sometimes completely wrong.

It's called a hallucination — and if you post AI-written content without checking it, your credibility is on the line.

Here's the 4-question check I recommend every time before you publish anything AI helped write:

1. Ask AI to doubt itself.
Paste the output back and say: "What in this might be inaccurate or outdated?" — You'll be surprised how often it flags its own mistakes.

2. Flag every number, date, and statistic.
These are the most common hallucinations. If AI says "73% of small businesses..." — go find that stat. It may not exist.

3. Don't trust confident-sounding claims.
AI doesn't have a tone of uncertainty. It sounds sure, even when it's guessing. The more authoritative it sounds, the more you should verify.

4. Ask for sources — then actually check them.
AI sometimes fabricates citations that look completely real. Google the source before you quote it.

The winning formula isn't "let AI do everything." It's: AI drafts. You verify.

That's how you get the speed of AI without the risk.

♻️ Share this with anyone using AI to create content for their business.
💬 Have you ever caught AI getting something wrong? Drop it in the comments — I'd love to hear it.

Most people use AI to write emails and make lists.

Here's something almost nobody talks about — using AI to prepare for a hard conversation.

Before a difficult client call, a tough negotiation, or a conversation you've been putting off — try this:

1. Tell AI: "Act as the person I'm about to speak with" — describe who they are and what the tension is.

2. Ask: "What objections would they likely raise?"

3. Actually respond to each one. Out loud or in the chat. Tighten your words before the real moment.

4. Finish with: "What would make this conversation go wrong?"
You'll walk in more prepared than you've ever been — and usually way more calm.

It takes about 10 minutes. And it works.

♻️ Save this for your next tough conversation.

💬 What kind of conversation do you dread most as a business owner? Drop it below — I might do a walkthrough.