Trying to choose an AI tool? Working through a problem? Found an approach, project or development you think others would find interesting?
Bring it to the conversation. WhatAI Discussions is a starting point for exploring questions about AI tools, creative work, everyday tasks and the ideas behind the technology. Read a thread that interests you, add your perspective or start with something you would like to understand.
Share what you are trying to achieve, what you have discovered and what still needs work. A useful contribution might be a detailed walkthrough, an unexpected limitation, a thoughtful question or a small change that made a difference.
Whether you are opening an AI tool for the first time or building your own systems, there is room to learn and something you can contribute.
Start with what interests you. Help make it clearer for someone else.
Just exploring? Start by reading. You do not need a finished project, a recommendation or a question ready to post.
You do not need to have it figured out to join in.
Just exploring? Start by reading. You do not need a finished project, a recommendation or a question ready to post.
✓ What Would You Like to Discuss?
- ✔ Getting Started: Explain what you would like help with in your own words. You do not need to know the terminology or choose a product before asking.
- ✔ Choosing Between Tools: Bring the job you need to complete, then share your priorities, budget, existing software and what remains unclear.
- ✔ Prompts and Output Feedback: Show what you asked for, what you received and how it fell short. Remove private details and include a small understandable example.
- ✔ Workflows and Automation: Explain the steps, tools, information moving between them and where the process becomes difficult. Consider whether a simpler approach could work.
- ✔ Costs and Subscription Choices: Describe the features you need, how often you use them and the compromises you would accept, including whether an existing tool could do the job.
- ✔ Models and Comparisons: Use a task you can explain. Include the version where known, how you accessed it and what counted as a successful result.
- ✔ Teams and Business: Bring questions about responsibilities, shared processes, training and review, with enough context to understand the team and decision.
- ✔ Projects, Discoveries and Lessons: Share what you are making, what you tried and what you learned. Unfinished projects and unsuccessful attempts can still help others.
Conversations to Explore
Find a question you can relate to, an idea you want to investigate or a thread where your experience could help. Open the discussion to understand the context before replying. You do not need to start a new thread to make a useful contribution.
Start a Discussion Someone Can Build On
You do not need a long post. Share enough context for someone else to understand the question and offer a relevant perspective. Starting from scratch? Explain what you would like to do and where you are unsure. The extra detail can develop through the conversation.
Start with the outcome and make the title specific enough to identify the subject.
Mention relevant tools, versions, plans and constraints, without adding background that is not needed.
Explain what you tried and noticed. Remove sensitive information, and include the original source for a claim or announcement.
Identify the part where another perspective would help rather than asking for general thoughts on an entire project.
When you try a suggestion, share what worked, what did not and what you changed.
Not Sure How to Start?
Use these sample questions as starting points and adapt them to your situation.
I want to turn a 20-minute interview into three short videos. Which approaches should I compare, and what would I still need to review myself?
My AI-generated product descriptions sound generic. Here is a short example with private details removed. What would you change?
My meeting-notes workflow missed decisions. A separate checking step helped, but I still review everything. How would you approach it differently?
I watched an AI agent complete a task across several apps. What would you check before deciding how independently it was working?
Help Keep the Conversation Useful
Explain whether you are sharing your own experience, interpreting a source or asking about something you have not tried. Include enough context for important claims to be examined. Disclose relevant connections to a product or business. A recommendation should explain its relevance to the question, not simply promote a link. Challenge ideas without making the discussion personal. Leave out passwords, account credentials, private messages and confidential information, and check that you have permission to share an example. Be specific about what you know, open about what you do not, and respectful when someone sees it differently. About moderation labels: a review for community standards is not independent verification of every factual claim or an endorsement of the author’s opinion.
Featured community discussions
Have a Question? Start There.
Bring something you are trying to understand, an approach you would like feedback on or an experience someone else could learn from. You do not need a polished case study. Need background first? Explore a tool page, compare options, use a Best For guide, follow AI News or visit AI Frontiers. Ask. Share. Read. Watch and Learn for free with WhatAI.
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