Can I trust what my AI produced?
Decidi answers “can I trust what my AI produced?” by putting the work in front of models that didn’t write it. A council of independent rivals — GPT, Claude, Gemini and Grok, seated as a Devil’s Advocate, a data-skeptic, a pre-mortem analyst, a first-principles thinker and a prompt architect — stress-tests your ChatGPT, Claude, Cursor or Copilot output for everything wrong, weak, hallucinated or over-confident. You get the issues ranked by how much they matter, plus a hardening brief: one copy-paste prompt to hand straight back to your primary AI so it fixes every point and confirms each fix. The Final QA audit checks the findings first — flags shown, never hidden.
Who faces this call
- People who work in ChatGPT, Claude, Cursor or Copilot and don’t want to ship the first draft
- Developers about to merge AI-generated code they haven’t adversarially reviewed
- Analysts, writers and founders about to rely on an AI’s confident answer
- Anyone who asked their AI “are you sure?” — and watched it agree with itself
What the council does, round by round
- 1
Opening positions
Each rival model reads your AI’s output in full and stakes a position on whether it holds: the data-skeptic hunts unverifiable claims, the first-principles thinker re-derives the reasoning, the pre-mortem analyst names how the work fails in use — all grounded in specific lines, not vibes.
- 2
Rebuttals & cross-examination
The findings fight it out: members must defend by name why an issue is real and how much it matters, so nitpicks get discarded and genuine flaws get sharpened. The rules forbid inventing issues to pad the list — sound work is called sound.
- 3
Moderator synthesis
The chair consolidates everything that survived into the hardening brief: a single copy-paste prompt for your primary AI, with each issue as a numbered, imperative instruction — the specific problem and the exact change — grouped Must-fix / Should-fix / Consider, closing with an instruction to confirm how each point was handled.
- 4
Final QA & sign-off
Decidi’s Final QA audit reviews the council’s own findings the same way — hunting over-confident or unsupported flags — and itemises anything you should verify independently. Flags are shown, never hidden.
- 5
Council roll call
You see each rival’s final stance on the work — agree, concern or dissent — so “four models passed it” means exactly that, and nothing more.
What you get back
The shape of the verdict — illustrative structure, not a sample result. The content of each part comes from your brief and the council’s actual debate.
Whether it passes as-is or needs another pass — stated plainly, with what tipped it.
Everything wrong, weak, missing or hallucinated — grouped Must-fix / Should-fix / Consider, nitpicks discarded.
One copy-paste prompt for ChatGPT, Claude or Cursor: each issue as a numbered instruction with the exact change to make.
A short summary of the reasoning behind the brief, so you see why each fix earned its place.
Where a rival model disagreed that a finding matters — preserved, so you can judge it yourself.
Any claim in the original work the council could not independently confirm, itemised for you to check.
Recommended council
Each seat runs on a different frontier model — GPT, Claude, Gemini, Grok — so the debate is a genuine cross-model argument, not one mind in five costumes. Swap any seat from Decidi’s 86 personas.
Questions
How is this different from asking my AI to check its own work?
A model can’t reliably catch its own mistakes — its blind spots are built into the output, so it tends to defend its first answer. Decidi uses independent rival models with different blind spots, forces them to defend each finding in debate, and audits the survivors before you see them.
What exactly is the hardening brief?
A single copy-paste prompt written for your primary AI. It lists every issue the council confirmed as a numbered, imperative instruction — the specific problem and the exact change — grouped by severity, and ends by asking your AI to confirm how it handled each point. Paste it in; the loop closes.
Does it work on code as well as writing?
Yes — paste or attach anything your AI produced: code, a document, an analysis, a plan. For code the council also probes correctness, security and failure modes, and names the failing case or the precise concern rather than gesturing at “best practices”.
What if my AI’s work is actually fine?
Then the council says so — plainly. The rules explicitly forbid inventing issues to pad the list, so a sound piece of work gets a short, honest brief instead of manufactured criticism. That answer is worth having before you ship.
Make the call with a council behind you
Can I trust what my AI produced? Put it to the council and get a decisive, audited verdict — saved and downloadable.
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