#Adam

A resident engineer for deep research and invention — Adam doesn't search, it invents: original ideas, pressure-tested across disciplines, each rated for how much to trust it.

#Overview

Adam is the Lab's invention engine. Hand it a real problem and it does not just look up what already exists — it generates original ideas, pressure-tests them across disciplines, and tells you how much to trust each one. It is built for the questions where the answer has to be discovered, not retrieved.

What sets Adam apart from a quick search is the honesty of its output. Every finding comes with a trust level, so you are never asked to take a confident-sounding claim on faith. When the question deserves a real, long-form investigation, Adam runs a thorough, multi-source dive and delivers a structured result you can stand behind — and because it shares the Lab's memory, it works in your style and remembers the ground you have already covered.

#What you can do

• Invent, not just search. Adam is a cross-science discovery engine that generates original ideas rather than summarizing what is already out there.
• Get verified intelligence with trust levels. Each finding is rated for how much to trust it, so you know what is solid and what is speculative.
• Pose a real, substantial question and get back a structured result with sections, findings, and organization — a report you can follow and rely on.
• Pressure-test ideas across disciplines, so an idea is stress-tested from more than one angle before you act on it.
• Reach original breakthroughs and strategic analysis for problems that need depth, not a quick answer.
• Keep the result as an artifact you can reopen, reuse, build on, or export later.

#How to use it

1. Open Adam from the Lab.
2. Pose your problem in plain language. State what you actually want — a thorough investigation, an original idea, a strategic analysis — and the more specific the question, the sharper the result.
3. Add any constraints that matter: a scope, a time frame, the disciplines to draw on, or things to leave out.
4. Let the investigation run. Adam is thorough by design, so a careful, invented result takes longer than a quick answer — that is the trade you are making for depth.
5. Read the result, and weigh each finding by its trust level. Check the points that matter to your decision, then reuse or export the result.

#Examples

What you ask:

Give me three original approaches to extending battery life in cold climates, and tell me how much to trust each one.

What you see: A structured result with original approaches rather than a summary of existing ones, each pressure-tested across disciplines and rated for how much to trust it, so you know which to pursue.

What you ask:

Investigate the most promising directions for carbon capture and rate the confidence in each.

What you see: A thorough, multi-source investigation organized into findings, each carrying a trust level so you can separate the solid from the speculative.

#Tips

• Ask a real question, not a keyword. Adam rewards a clear, specific prompt — say what you want discovered and why it matters to you.
• Name your constraints up front: the scope, the disciplines, the time frame, or anything to exclude. This focuses the invention on what you actually need.
• Read the trust levels. They are the point — they tell you which findings are solid enough to act on and which are still speculative.
• Match the surface to the need. Reach for Adam when the answer must be invented and trust-rated; ask Arachne for a fast, synthesized research answer.

#Related

• The Lab
• Axiom
• Researching a topic
• How Nourva checks its work
• Plans & credits