Pindown chat has superpowers
Close the tab and most AI work vanishes. Pindown keeps pins, research, files, agent output, and pipeline data in one dedicated workspace, so your team never switches context.
Short answer: Pindown is not a chatbot that talks. It is an agentic workspace with superpowers — and everything you build persists, not scrolls away. Turn a sentence into live, typed pins, kick off deep research that reads dozens of sources and writes a cited report, and switch on Artifacts & analysis to generate real files — PDFs, spreadsheets, charts — in a sandbox and download them. Three superpowers. One workspace that is still there tomorrow.
Most AI chat tools end the same way: a long answer you have to copy, clean up, and paste somewhere useful. The thinking happened, but you are still the one doing the assembly — and when you close the tab, it is gone. Pindown chat closes that gap. Ask once, and the agent produces something you can open, share, and keep in your workspace: pins on pinboards, research you can reopen, files you can download again. Not just read and forget.
Here is what that looks like in practice.
Superpower 1 — Turn a sentence into pins
Pins are Pindown's building blocks: typed blocks like stat cards, tables, charts, checklists, timelines, kanban boards, and markdown briefs. The chat agent creates them directly. You describe an outcome; it builds the pins and places them in a page, pinboard, pitch, or canvas.
Say "give me a launch KPI board with MRR, active users, and churn," and you get something like this — a real stat-card pin, not a screenshot:
The difference from a normal chat is structural. A chatbot would describe your KPIs in a paragraph. Pindown chat emits the actual objects — each one editable, shareable, and wireable to your data via the pin API. One request can return several pins at once: a brief beside a table beside a checklist, ready to drop into a format.
- No copy-paste tax — the output is already a usable artifact, not text you reformat
- Reusable across formats — the same pin lives on a page, a pinboard, and a pitch tab
- Stays alive — update the pin later by hand or let an automation PATCH it
If pins are new to you, start with Atomic pins: the universal building block.
Superpower 2 — Deep research that actually digs
Flip on Deep research in your workspace and the agent stops being a single round-trip. The agent plans the work, runs multiple search passes, reads across dozens of real sources, and synthesises a structured, cited report — while you watch its thought process and the sources it is reading, Gemini-style, in a side panel.
This is the part teams underestimate. A normal "search" answer is one shallow pass. Deep research is a multi-step investigation: it forms a plan, gathers evidence, follows leads, resolves the real source URLs and titles, and then writes up findings you can trust because you can click through to where they came from.
The output is not a chat bubble you lose on scroll — it lands as a report you can reopen, and the structured findings drop straight into pins like a comparison table:
Product | Pricing motion | AI workspace | Structured output | Sharing | Last verified |
|---|---|---|---|---|---|
Pindown | Workspace plans + credits | App-wide agent, pin-native | Typed pins across formats | Single-pin or board links | May 2026 |
Notion | Free tier + per-seat | AI add-on in docs | Pages & databases | Page or workspace | May 2026 |
Miro | Team seats | Canvas AI features | Visual boards | Board links | Apr 2026 |
Manus | Usage-based | Agent-first tasks | Task deliverables | Session / export | Apr 2026 |
- Plan → search → read → synthesise, not a single guess
- Real sources with resolved domains and titles, not citation noise
- Reopen any past run — research sessions persist, so you can come back to them
- Findings become pins — drop the table, the brief, or the stat cards into a board
When the run finishes, the agent flips you to the results so the payoff is the first thing you see — not a progress log you have to dig through.
Superpower 3 — Create files and run analysis
This is the newest superpower. Turn on Artifacts & analysis and the chat agent gets a sandbox. Describe a file or an analysis and it actually builds it — runs code, crunches data, generates a document — then hands you a downloadable artifact plus a written summary of what it did.
Think of it as the difference between "here's how you could make that spreadsheet" and "here's the spreadsheet." Ask for a PDF report, a multi-sheet Excel model, a chart from your numbers, or a data analysis with the working files, and the agent produces the real files in an isolated environment.
- Real files, not instructions — PDFs, spreadsheets, charts, reports you can download
- Data analysis in a sandbox — it runs the work, you get the result and the artifacts
- Everything persists — the files and the agent's summary are saved to the run, so a refresh or a teammate's link still has them
- Runs beside the chat — a 50/50 panel on desktop shows progress, logs, and the finished artifacts without blocking the conversation
You stay in control: it is a deliberate mode you switch on, with its own progress view and the ability to stop a run. When it is done, the output is a tangible deliverable — not a transcript you have to act on yourself.
Why this combination matters
Individually, each superpower is useful. Together they change what "asking the AI" means:
| You ask for… | A normal chatbot gives you… | Pindown chat gives you… |
|---|---|---|
| A KPI board | A paragraph describing KPIs | Live stat-card and chart pins |
| Competitive research | One shallow answer | A multi-source, cited report + a comparison table pin |
| A report file | Steps to build it yourself | The actual PDF / spreadsheet, downloadable |
| All of the above | Three separate copy-paste jobs | Three artifacts, from one agentic workspace |
The thread is the same. The modes are a toggle away. And in every case the output lives in your persistent workspace — pins you can rearrange, research you can reopen, files you can fetch again — not buried in chat history. That is the whole point of an AI-native workspace.
Try it in two minutes
- Sign up and open /home.
- Just ask — "build me a launch pinboard with KPIs, risks, and a timeline." Watch the agent emit pins.
- Turn on Deep research from the + menu and ask a question worth investigating. Reopen the report whenever you like.
- Turn on Artifacts & analysis and ask for a PDF, spreadsheet, or data analysis. Download the file when it lands.
That is chat that builds instead of chat that just talks.
Frequently asked questions
Do I have to choose a mode before I start?
No. Default chat already creates pins. Deep research and Artifacts & analysis are optional modes from the + menu for when you need a multi-step investigation or real generated files. Only one runs at a time.
Where do the deep research sources come from?
The agent runs real web searches across multiple passes and resolves each result to its actual domain and title, so the citations point to real pages — not internal redirect markers. You can watch the sources stream in while it works.
What kinds of files can Artifacts & analysis create?
PDFs, spreadsheets, charts, and other documents generated in a sandbox — plus the working files from a data analysis. Each artifact and the agent's summary are saved to the run so they survive reloads and shared links.
What should I read next?
- Atomic pins: the universal building block: the mental model behind pins
- Why Pindown saves time: the AI-to-Asset pipeline
- What makes Pindown different: the full case
- Pindown Quickstart: formats and a video walkthrough