Independence & Limitations
IdeaGrains is an independent benchmark catalogue based on real product work, documented evidence, and human judgement.
Not a governing body
IdeaGrains is independent. It is not a university, governing body, regulator, standards organisation, certification provider, formally credentialed research institution, or official authority on AI model performance. Our pieces are independent practical evaluations and editorial work based on the product cases, prompts, outputs, evidence, and scoring criteria available at the time of testing.
Independent opinions, evidence-led
IdeaGrains work includes human judgement. We try to make that judgement useful by showing the source case when relevant, the brief, the model output, visible changes, human rescue needed, limitations, and final reasoning. Scores should be read as practical benchmark opinions, not universal truth.
Real product cases, not academic benchmarks
IdeaGrains is built for builders. We test AI models on real product improvement work, not controlled academic exams or synthetic leaderboard tasks. This makes the reports useful for practical product decisions, but it also means results are shaped by the product case, the brief, the implementation context, and the evaluator’s judgement.
Materials and transparency
Where possible, benchmark and build reports should include or reference the source product case, baseline state, prompt or brief, screenshots or output evidence, model/tool tested, scoring notes, human rescue required, caveats, and limitations. Articles and foundational pieces may be site-level work without a source case. If something is missing, unclear, corrected, or later improved, we should say so.
Conflicts and sponsorship
Any sponsored test, affiliate relationship, paid placement, or material conflict should be clearly labelled. IdeaGrains should not sell positive scores. Sponsorship may support the work, but it should not determine the verdict.
Corrections
If a report contains an error, outdated claim, broken link, or unfair comparison, we may update it and note the correction where appropriate.
Improving legitimacy over time
IdeaGrains is early. Over time, we aim to improve the benchmark method, documentation quality, scoring consistency, and evaluator credibility. Where relevant, we may pursue training, certifications, external review, or expert input to make the work more reliable.