Why TensorCode
Most AI asks for your trust. Ours shows its work.
Most AI tools hand you an answer and ask you to take it on faith. They forget your team's corrections, and they live on someone else's servers. TensorCode was built to fix all three.
/media/why.webp · 2520×1080
Abstract sculptural still life, photorealistic 3D render. Hundreds of thin, blank sheets of warm off-white paper (#f7f6f2) fanned into a slow, graceful spiral that sweeps from left to right across the frame, like a paper wave. A single fine thread of glowing teal light (#3fd1b8) weaves through the sheets from one end to the other, catching each page's edge as it passes, as if tying every page back to its source. A few sheets near the center carry a faint coral (#ff8e6b) edge highlight. Deep ink charcoal background (#12151a) fading to a soft warm gradient on the right. Soft studio key light from the upper left, subtle rim light, gentle ambient occlusion, crisp paper texture, shallow depth of field at the edges. Wide panoramic composition with the spiral's center slightly left of middle and calm negative space on the right. Mood: thoughtful, precise, trustworthy, quietly ambitious. No text, no letters, no logos, no people. Aspect ratio 21:9, 2520x1080.
What it's built on
Three rules, no exceptions.
Show the work
An answer without sources is a guess. Every answer points back to the evidence behind it, so anyone can check it.
Learn from people
Your experts already know when something is wrong. The software should learn from them, not work around them.
Owned, not rented
If your team taught it, your business owns it. No lock-in, and no data held hostage.
Side by side
What changes for your team.
Compared with a typical hosted AI assistant.
| Situation | Typical hosted assistant | With TensorCode |
|---|---|---|
| Where an answer came from | “Trust me.” | Linked to the logs, emails and files behind it |
| When the facts change | The old answer stands until someone notices | The answer is revised; the old one stays on record |
| When your team corrects it | Forgotten when the chat ends | Saved, with who made it, and used for training |
| When it isn't sure | Often sounds just as confident | Can say so, by rules you set |
| Where it runs | The vendor's cloud | Your own machines, even offline |
| Who owns what it learned | The vendor | You: ordinary files you can copy and keep |
Open by default
Anyone can check our claims.
TensorCode is free and open source under the MIT license. Anyone can read the code, run it, and test what we say about it.
We publish our measurements, including the ones that didn't go our way. If something doesn't work yet, we'd rather you read it from us.
- 2
- languages your engineers can use: Python and TypeScript
- MIT
- license: free to use, change, and ship
- 0
- cloud accounts required to run it
Questions, ideas, or a problem to try it on?
Open an issue on GitHub. Everything we build, we build in the open.