Documents that think again

Change one premise.
The whole deliverable is rethought.

DeepCell traces every number, conclusion and slide that depended on it — the arithmetic recalculates, the argument is re-examined, and what needs your judgment is flagged rather than answered. Because the reasoning stayed in the file.

Send it to someone — they can check the basis and question the claims.
Send it to an agent — it can continue from where the last one left off.

Get started See an example

beta.deepcell.net/product/for-agent.md

Paste this link into your agent — it works out the rest.

nvidia-unified.deepcell.deepcell News shock

When new evidence appears

Nvidia reported in talks to guarantee $250B in OpenAI data-center financing

Add new information to the same file, alongside the assumptions and conclusions it may affect.

News report

Jul 29, 2026

Reports say Nvidia would backstop up to $250B of financing for OpenAI's data centers; chip stocks shed over $1 trillion as investors ask whether AI demand is genuine end-demand or vendor-financed.

Open source report

The production form: an agent reads a report, names the premise it overwrites, and proposes the change for review.

This is an animation, built from DeepCell's actual interface. Open the launch plan See the live Nvidia demo

The problem

The first draft got cheap. The next nine didn't.

AI writes version one in minutes. Then a premise moves, and every version after it is hand-checked. Three questions you've probably heard:

$196

DCF fair value · HOLD

evidence ×3
31 calculations
formula
assumptions

Six weeks later, it is just a number on a slide.

“Where's last week's analysis?”
It was there. Now you can't find it — and you can't use it again.
“How did this number come about?”
You sent the conclusion. The reasoning stayed in a conversation that's already closed.
“How do I know this wasn't made up?”
They can't verify the premises, so it's hard to trust the result.

What's in one

One model. Three deliverables that cannot disagree.

The write-up, the model and the deck are renderings of the same .deepcell — which is why a premise change reaches all three, and why they still agree afterwards.

nvidia-unified.deepcellAudit

↳ = FY31 free cash flow / (WACC − g)

Audit — Open any number and the formula that produced it unfolds underneath.

Open this example →

Use cases

What it changes by itself, and what it hands to you.

A premise change splits in two: what recalculates on its own, and what has to be thought through again. Getting that split right is the difference between a deliverable you can trust and one you have to redo.

What recalculates on its own.

Move one premise, and everything downstream of it follows.

numbers
dates and schedules
formulas
figures bound into slides
charts

PremiseComponent lead time

Move it.

Still holds

Launch lands in June→ lead_time · build_schedule · evidence ×2holds
Plan A beats Plan B on time-to-market→ lead_time · ramp_curve · plan_b_baselineholds
Unit economics clear the margin floor→ bom_cost · contract_price — no path from lead_timeholds
Second-source supplier still needs qualifying→ qual_backlog — no path from lead_timeholds

Four conclusions, one premise. Move it and watch them sort — two of these have no path from it, and stay exactly where they are.

News breaks against a position — which conclusions survive
A vendor quote changes — does self-hosting still pay back
A supplier's lead time slips — which commitments break first
A hiring freeze lands — which targets hold with roles unfilled
A materials price moves — which milestones still fit
A subgroup enrols under plan — does the readout still hold

Open the NVIDIA model →

How it works

You don't have to write it down. It stays as you work.

Every tool that relied on humans writing things down died at week six. This one never asks you to write.

Connect once
Paste one link into Claude Code, claude.ai, or any MCP client. Your workflow stays the same.
Conclusions land in a file
As people and agents work, conclusions and their reasoning are written into .deepcell as a natural by-product.
You review and pass it on
Open the file, look into anything, change assumptions, and send it to a person or an agent.

beta.deepcell.net/product/for-agent.md

Set up CLI & MCP →

Read the setup guide Read the format documentation →See a real example →

Works with your AI tools