Honest Review
Evaluates rigor, not orthodoxy
Specialist AI agents evaluate scientific rigor — consistency, math validity, falsifiability — without judging whether your theory is “mainstream.” Paradigm neutrality is built in.
theoryofeverything.ai
Submit your theoretical framework. Specialist AI agents review your math, sources, and science independently. Build a living body of work with linked papers and versioned reviews. No gatekeeping — just rigorous, paradigm-neutral review. We judge your logic, not your orthodoxy.
Every submission is evaluated across seven dimensions of scientific rigor. No single score determines publication — it's the whole picture that matters. Here's a sample review and what each dimension means.
Are your claims logically coherent throughout?
Are equations correctly derived and notation sound?
Does the work make specific, testable predictions?
Can a scientifically literate reader follow the reasoning?
Does this offer something genuinely new?
Are boundary conditions and limitations addressed?
How well do supporting papers substantiate the claims?
Evaluates rigor, not orthodoxy
Specialist AI agents evaluate scientific rigor — consistency, math validity, falsifiability — without judging whether your theory is “mainstream.” Paradigm neutrality is built in.
Not ready for publication? You enter the Conceptual Track with a personalized improvement roadmap. Every submission gets a path forward — not a rejection slip.
Your work isn't a static PDF. Link supporting papers, re-analyze as evidence grows, and build a versioned body of work that evolves with your research.
Every submission is reviewed by independent specialist agents, each focused on a different aspect of scientific rigor. A coordinator agent synthesizes their findings into a unified assessment.
Checks derivations, dimensional consistency, and mathematical coherence.
Validates references, checks citation claims, and evaluates evidence strength.
Assesses falsifiability, novelty, and scientific contribution beyond existing work.
Reads all specialist reports and your paper in full. Produces the final assessment, scores, and roadmap.
Multiple AI models run in parallel per specialist — cross-model consensus strengthens every review.
Upload your framework or paper in Markdown, TeX, or plain text. AI extracts your title, summary, and key metadata automatically.
Specialist AI agents — Math/Logic, Sources/Evidence, and Science/Novelty — independently evaluate your work, then a coordinator synthesizes the findings.
Meet the threshold? You're published. Below it? You enter the Conceptual Track with a clear improvement roadmap. Every submission gets a path forward.
Link supporting papers to your framework. As your evidence grows, re-analyze to update your composite score. The record shows your work evolving.
No institutional affiliation required. Your science is judged on rigor, not credentials.
Get structured AI feedback on consistency, math validity, and falsifiability before journal submission.
Build a living body of work — framework plus supporting papers — that grows as evidence accumulates.
Explore cutting-edge theoretical frameworks reviewed for scientific rigor, not popularity.
Share a permanent review profile with scores, specialist reports, and iteration history — the due diligence is already done.
The best ideas in science don't always come from the biggest institutions. Throughout history, breakthroughs have come from people working at the edges —outsiders with notebooks, questions, and the stubbornness to keep going when no one would listen.
The problem was never talent. It was access.
Today, AI changes that equation. When rigorous, unbiased review is available to anyone — regardless of credentials, affiliation, or geography — science stops being a gated community and becomes a shared pursuit.
We're building a growing community of independent researchers to help shape the platform. Your scores may not reflect the full quality of your work — you're helping us calibrate the system.
No spam. We'll reach out when your beta access is ready.
TOEShare is a full research infrastructure. Here's what's built in.
Declare explicit relationships: sequel, extends, corrects, contradicts.
Comment, vote, and discuss any published work with fellow researchers.
Challenge any dimension score with evidence. The AI re-evaluates with your feedback.
Find related work by meaning, not just keywords. Vector embeddings power similarity.
Export a printable review certificate for any published submission.
Every review is versioned. Track score evolution and content changes over time.
Full math rendering — inline and block equations display beautifully.
Drop a PDF and we extract the text automatically for review.
Chat with an AI that has your paper's full context loaded — ask anything.