Cited benchmark synthesis
Public leaderboards for coding, tool use, hallucination, preference, speed, and cost are turned into dated operator notes with links back to the source.
Cited benchmark synthesis and free tools
Novamente AI Lab turns public benchmark data, verification workflows, and lightweight tools into something operators can actually use: compare coding assistants, sanity-check research output, score agent risk, and turn AI work into reviewable evidence.
What's inside
Each surface ends in a reusable artifact: cited benchmark notes, a checklist, a shortlist, a workflow outline, a prompt test plan, or an agent launch score.
Public leaderboards for coding, tool use, hallucination, preference, speed, and cost are turned into dated operator notes with links back to the source.
Generate a checklist, shortlist, workflow outline, prompt test skeleton, or launch-risk score without waiting for a backend.
Workflows and guides focus on review gates, failure modes, evidence capture, and how to keep AI output inside a process.
Method
The site does not run first-party model evaluations today. It publishes a dated synthesis of public evidence, keeps a visible rubric for how we would score tools ourselves, and reserves rankings until there is a real run log.
Every benchmark page should point back to public sources, name the date, and keep our interpretation separate from the source number.
The tools exist to produce something that can be copied into a team doc, ticket, or review note.
Guides and workflows stay focused on evidence, failure modes, and control points instead of generic AI cheerleading.
Free tools
The current tool set is still lightweight, but each one is designed to produce a decision artifact you can keep. A deeper comparison matrix is the next major tool surface.
Filter candidate AI tools by task, budget, privacy boundary, and validation needs.
Draft agent workflows with scope, tools, human gates, and failure modes.
Create fixtures, expected behavior notes, scoring rubrics, failure labels, and retest rules.
Archive
Novamente.net has AGI history. The archive explains that history, routes old links to relevant context, and clearly states that this is an independent new project.
Historical context for the integrative AGI architecture.
Clear disclosure that Novamente AI Lab is not the old Novamente LLC.