Ask. Review. Ship. A built-in AI agent, real spreadsheets, and on-brand presentations in one workspace, so your PRD, your scoring model, and your sprint review deck stop living in three different tools.
Most AI tools hand you text in a chat window. You still format it, move it, and rebuild it as a deck. Skybits is an AI collaborative document editor where the output is already a document your team can review, a spreadsheet with working formulas, or a presentation in your company template. Use the built-in Skybits agent with no setup, or connect ChatGPT, Claude, or Cursor over MCP when you want a specific model. Both write to the same documents, under the same review gate.
1. Write a PRD with a Built-In AI Agent, No Setup Required
Why Every AI Document Tool Starts with Configuration
Every AI document tool asks you to connect something first: an API key, an MCP client, a plugin. You wanted a PRD and you are reading configuration docs.
How the Built-In Skybits Agent Drafts the PRD
Open Skybits and ask. The built-in Skybits agent creates the document, applies the PRD structure, and fills the sections. Nothing to install or connect. When you want a specific model, connect ChatGPT, Claude, Cursor, or Gemini over MCP instead. The built-in agent and your own model work on the same documents, so the choice is per task, not per workspace.
Example Prompt: Generate a PRD
"Create a PRD for a self-serve onboarding redesign. Include problem statement, goals, user stories with acceptance criteria, scope, success metrics, and a rollout plan."
What You Get: A Structured PRD in Under a Minute
- A structured PRD in under a minute, starting from an empty workspace
- No key, client, or plugin to configure first
- The same documents open to your own model over MCP whenever you want it
2. Build RICE Scoring and Metrics Spreadsheets Beside the PRD
Why the PRD and the Numbers Drift Apart
The PRD sits in a doc, the RICE scores sit in a spreadsheet in another tool, and the launch metrics sit in a third. Every review means three tabs and a hope that the numbers still match.
How Skybits Spreadsheets Keep Formulas and Docs Together
Skybits spreadsheets are full documents: multiple tabs, real formulas, conditional formatting, named ranges. Ask the agent to build a prioritization model, a release tracker, or a metrics sheet, and keep it beside the PRD that uses it, under the same sharing permissions. Export to XLSX, ODS, or CSV whenever finance or analytics needs a copy.
Example Prompt: Build a RICE Prioritization Sheet
"Create a Q3 prioritization spreadsheet with RICE scoring, one row per initiative, and a formula column that ranks them. Highlight anything below the cut line in red."
What You Get: Real Formulas, One Permission Model
- Documents and spreadsheets in one workspace, one permission model
- Working formulas and conditional formatting, not a static table
- Clean export to XLSX, ODS, or CSV
3. Generate Sprint and Roadmap Decks in Your Corporate Template
Why the Sprint Review Deck Costs an Hour of Formatting
The sprint review deck means opening the company template, deleting last month's slides, and pasting in content that immediately breaks the layout. An hour of formatting to present work you already finished.
How to Get On-Brand AI Slides from Your Own Template
Upload your corporate deck once and set it as a template. After that, ask for a presentation and it is built in that template. No file to upload? Ask the agent, or your own model over MCP, to build the template from your website's brand styles, and it is constructed from scratch. Decks are Canvas documents: shareable by link, exportable to PDF or HTML.
Example Prompt: Build a Sprint Review Deck
"Create a sprint review deck from our template: what shipped, what slipped, key metrics, and next sprint's focus. Use the PRD and the metrics sheet as sources."
What You Get: Every Deck On Brand After One Upload
- One template upload, every deck on brand after that
- A brand template built from your website when you have no file to start from
- Decks generated from the documents and sheets you already maintain
4. Review Every AI Change to the PRD Before It Lands
Why AI Cannot Be Trusted with the Canonical Spec
You want AI to maintain the PRD, but you cannot let it change the canonical spec unreviewed. Chat tools give you all or nothing.
How Suggest Mode Gates Every AI Edit
Suggest Mode holds every AI edit as a pending proposal. Whether the change came from the built-in agent or from your own model over MCP, you see the tracked diff, accept what is right, and reject the rest. Version history records who proposed what.
Example Scenario: Tightening Acceptance Criteria
You ask for tighter, more testable acceptance criteria across five user stories. Four land as proposed, you adjust one, and you reject the rewrite of a story engineering already signed off. Three minutes instead of twenty.
What You Get: Accept or Reject, Per Suggestion
- A human approval gate on every AI change
- Accept or reject per suggestion, not all or nothing
- Clear attribution: AI-proposed against human-approved
5. Keep Cross-Functional Feedback on the Document Itself
Why PRD Feedback Scatters Across Slack, Figma, and Email
You share a PRD. Engineering replies in Slack, design comments in Figma, your EM answers by email. An hour goes into reconciling three channels.
How Role-Based Sharing and Inline Comments Work
Share with role-based access: engineers as editors, design as commenters, leadership as viewers. Feedback lands as inline comments anchored to the exact text. Ask the agent to revise a section from a comment thread, review the suggestion, resolve the thread. Real-time AI document collaboration with a full audit trail of what was raised and how it was settled.
Example Workflow: Resolving an Engineering Constraint
- An engineer comments on Technical Constraints: "This API is capped at 100 req/s, we need queueing."
- You reply in-thread, then ask the agent to revise the section with that constraint.
- The suggestion appears, you accept it, and the thread is resolved.
What You Get: One Audit Trail per Review Round
- All feedback on the document, not scattered across tools
- Threaded discussion with resolution tracking
- An audit trail of what was raised, discussed, and resolved
Skybits for Product Managers at a Glance
| Capability | What it replaces | Time saved |
|---|---|---|
| Built-in agent | Connecting a client before you can start | All of setup |
| Spreadsheets | A separate tool for every model and tracker | Tab-switching and number drift |
| Canvas decks from your template | Rebuilding the deck in the company template | 45-60 min per deck |
| Suggest Mode | Manually diffing AI changes | 5-15 min per review |
| Inline comments | Slack and email feedback loops | 30+ min per review round |
| MCP with your own model | Copy-pasting AI output into docs | 10-20 min per revision cycle |
Skybits vs Google Docs, Notion AI, and ChatGPT Canvas
| Looking for… | The alternative | Why PMs choose Skybits |
|---|---|---|
| Google Docs alternative for AI | Google Docs plus an AI sidebar | Google Docs bolts AI on. Skybits has a built-in agent, MCP access for your own model, and a real suggest-and-reject workflow. |
| Notion AI alternative for documents | Notion AI | Notion locks you to one model. Skybits gives you a built-in agent and any MCP model, plus spreadsheets with real formulas. |
| AI presentation maker | Generic AI deck tools | Generic tools give you generic templates. Skybits builds decks in your corporate template, from a file you upload or from your website's brand styles. |
| ChatGPT Canvas alternative | ChatGPT Canvas | Canvas is solo drafting. Skybits is where the draft becomes a team document, a spreadsheet, or a deck. |
Frequently Asked Questions
Do I need an API key or an MCP client to start?
No. The built-in Skybits agent works from an empty workspace with nothing to install or connect. Connecting ChatGPT, Claude, Cursor, or Gemini over MCP is optional, and you can add it later for specific tasks.
Can I use my own model instead of the built-in agent?
Yes. Connect ChatGPT, Claude, Cursor, or Gemini over MCP. The built-in agent and your own model write to the same documents under the same review gate, so the choice is per task rather than per workspace.
Can Skybits build a deck in our corporate template?
Yes. Upload your company deck once and set it as a template, and every presentation after that is built in it. If you have no file, ask the agent to construct the template from your website's brand styles.
Does the AI change my PRD without approval?
No. Suggest Mode holds every AI edit as a pending proposal, whether it came from the built-in agent or from your own model. You see the tracked diff and accept or reject each suggestion individually.
Are Skybits spreadsheets real spreadsheets?
Yes. Multiple tabs, working formulas, conditional formatting, and named ranges, so a RICE model or a release tracker lives beside the PRD that uses it instead of in a separate tool.
Can I export to XLSX or PDF?
Spreadsheets export to XLSX, ODS, or CSV. Decks are Canvas documents, shareable by link and exportable to PDF or HTML.
Start with One PRD
Open Skybits and ask for the PRD you were going to write this week. No key, no client, no setup. If the first draft saves you the formatting hour, add the metrics sheet and the sprint deck next, and the three stop living in three tools.
