Overview
AI Chat Bots is a chat experience inside AI Bucket that lets you talk to AI models, keep conversations organized, iterate towards high-quality answers, and share conversations with teammates.
What AI Chat Bots is for
Everyday Q&A
Quick explanations, summaries, brainstorming, and next steps.
Writing & drafting
Emails, proposals, product copy, PRDs, and tone variations.
Coding help
Debugging, refactors, code review, and implementation plans.
Structured output
Tables, JSON, checklists, SOPs, and repeatable templates.
Collaboration & handoff
Share a conversation so a teammate can continue the thread with full context.
Key concepts
- Conversation: a thread that keeps context over multiple messages.
- Prompt: your instructions and context for the AI. Better prompts produce better outputs.
- Model: different models trade off speed, cost, and quality.
- Output format: asking for a specific format (bullet list/table/JSON) makes results predictable.
- Sharing: share a conversation with specific workspace members (owner-only). Shared conversations show up in “Shared with me”.
Sharing conversations
Sharing is workspace-scoped access control for a conversation (not a public link).
- Only the conversation owner can share.
- You can share with specific members in the same workspace.
- Recipients see it in the “Shared with me” tab.
Recommended workflow
- State your goal in one line.
- Provide context (inputs, constraints, examples, links).
- Request a format (e.g. table, JSON, step-by-step plan).
- Iterate: ask for revisions, identify mistakes, and refine the output.
- Share or hand off When needed, share the conversation to keep context across teammates.
Common tips (quality + cost)
- Use smaller/faster models for drafts; switch to higher-quality models for final answers.
- Keep messages focused—don't paste huge logs unless necessary.
- Ask the AI to confirm assumptions before it starts answering.
- For collaboration, share the conversation instead of copying/pasting long context into a new chat.