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LiteSurface vs. ChatGPT or ClaudeThe same model families, a different procedure.
LiteSurface calls OpenAI and Anthropic models too. The difference is not the model; it is what happens around it: two independent judgements, rules that can override them, and evidence stored so every number can be traced.
Start here
When the alternative is the better choiceReasons to stay with a chat assistant.
You are still exploring
Open-ended brainstorming, reframing a problem, or riffing on names is what chat does best. There is nothing to score yet.
You need one quick answer
A single question about a market, a competitor, or a technology is faster to ask in a chat than to set up as a project.
You do not need a record
If nobody will ask later why an idea won, a conversation is enough. LiteSurface’s structure is overhead you would not use.
You want to write, not decide
Drafting a pitch, an email, or a landing page is a writing task. Chat assistants are built for it.
The differences
What changes, and only what you can checkFive differences, no scores for ourselves.
Each row is something you can verify: in the product, in the sample evaluation, or in the methodology.
| Topic | ChatGPT or Claude chat | LiteSurface |
|---|---|---|
| Who scores | One model in one conversation, unless you ask a second assistant yourself and compare by hand. | An OpenAI evaluator and an Anthropic evaluator score independently; code computes medians, confidence, and disagreement. |
| Deal-breakers | The model may mention a concern; nothing stops a persuasive answer from ignoring it. | Hard gates (build horizon, unavailable capability, legal or safety risk, acquisition path, project exclusions) override the score. |
| Evidence behind a score | Can cite web pages when search is on; citations are not checked against a stored library you own. | Sources and atomic claims are stored in the project; generated text cites claim ids, and unknown ids are dropped. |
| Ideas over time | A transcript. Finding an earlier idea means scrolling back or searching chats. | Durable, linked objects: versioned concept genomes, evaluations, decisions, and experiments. |
| After the decision | You can ask for a spec; nothing checks it for completeness or ties it to a version. | A 26-section handoff validated for completeness and consistency, pinned to the concept version it was built from. |
Using both
Brainstorm in a chat, then bring the ideas worth defending into LiteSurface as concepts and let the pipeline research and score them.
Questions
Fair questionswith straight answers.
It calls OpenAI and Anthropic models through their APIs, not the consumer chat apps. Each workspace can connect its own keys and choose which providers may see project content.
Two independent judgements expose disagreement that a single answer hides. Code takes the median, so no single model sets the score.
Every result records the prompt version and model that produced it, and every citation resolves to a stored claim with its source.
Try it on the ideayou are weighing right now.
Solo and Team are free during early access. Explore a sample project before you run your own.
- Solo and Team are free during early access
- Explore a sample project first
- Bring your own OpenAI and Anthropic keys