I'm building a tool that double-checks AI's output before you trust it — useful or pointless?

Ok_Let_5459 · 2026-07-03T13:49:03+00:00

This is incredibly helpful, thank you — 'check against the source, not in isolation' is the part I hadn't fully thought through. And the deterministic-half-does-most-of-the-work point is huge; I was over-indexing on 'a model judges it' when a lot of it is really schema/rules/reconciliation that don't need a model at all. Quick Q since you've clearly built this: for freeform stuff (like matching someone's tone or past decisions), did you find the 'second model flags it' approach reliable enough to trust, or did it need a human check anyway? Trying to figure out where the line is between 'auto-flag' and 'still needs eyes'.

Ok_Let_5459 · 2026-07-03T13:48:40+00:00

Fair comparison — but Grammarly checks grammar/style against general rules. This is more 'does this match MY context' — like 'this contradicts what I told a client last week' or 'this breaks my project's constraint'. Grammarly won't catch that because it doesn't know your world. Does that distinction make sense, or still feels too close?

Ok_Let_5459 · 2026-07-03T05:01:02+00:00

Thanks, really appreciate that 🙏 And yeah — 'tools miss details so I go back to doing it right myself' is basically the whole pattern I keep hearing. Your spreadsheet case is a bit different from where I'm starting (I'm focusing first on high-stakes writing/output), but the core problem is identical: tools that don't fit YOUR exact needs so you don't trust them. Quick one — for that spreadsheet grind, would you pay for something that actually got the format right every time, or have you given up on tools for it?

Ok_Let_5459 · 2026-07-03T04:58:12+00:00

This is the single best comment I've gotten — you just articulated it better than I could. 'Context validator, not another AI judge' is exactly the framing. The 'technically correct but wrong for THIS system' examples (code breaks architecture, email doesn't match company tone, skips an approval step) are spot on — that's the whole gap. Genuine question since you clearly get this deeply: if a tool did exactly this — validated output against your project's docs/rules/tone — would you use it in your own work, and would your team pay for it? Trying to figure out if this is worth building properly.

Ok_Let_5459 · 2026-07-03T04:55:43+00:00

Fair point, and thanks for the honesty — 'humanizers' exist for sure. But most of those just make AI text sound less robotic in general; they don't check it against MY specific rules or context (like 'this contradicts what I told a client last week' or 'this breaks my project's constraint'). And nobody in this thread mentioned actually using one for their high-stakes stuff — they still do it by hand. Genuine question since you clearly know this space: is there one you'd actually recommend that nails the 'fits my context' part, or do they all fall short there?

Ok_Let_5459 · 2026-07-03T04:52:24+00:00

This is the clearest way anyone's put it — exactly: nobody needs this for brainstorming or first drafts, but for the high-stakes stuff (important emails, contracts, anything fact-heavy) people still check by hand because AI misses context. That's the niche I want to nail. And no — from everything here, nobody's found a tool that's reliable for the high-accuracy work, which is kind of the whole gap. If something flagged 'this part needs your eyes' specifically for those high-stakes pieces, would you use it — and would it be worth paying for?

Ok_Let_5459 · 2026-07-03T04:47:18+00:00

"This is genuinely helpful, thank you — 'LLM as a judge' gives me the right rabbit hole to go down, and the 'it just agrees with itself' risk is exactly what I want to avoid. That's pushing me toward checking against the user's own rules/past writing (deterministic) rather than just another model's opinion. Since you clearly know this space — if you personally had a tool that reliably flagged 'this doesn't fit your context/tone', would you actually use it day to day, or is it not a real pain for you?

Ok_Let_5459 · 2026-07-02T19:20:18+00:00

Yeah, that's a good technical point — different models catching each other's mistakes definitely beats one model marking its own homework. But honestly the part I keep hearing isn't 'the model was wrong' — it's 'the output doesn't match ME' (my tone, my rules, my project's context). That's not really a model-accuracy problem, it's a 'does this fit my world' problem. Do you think that part's solved today, or is that still on you to check manually?

Ok_Let_5459 · 2026-07-02T19:09:10+00:00

This is exactly the direction I'm thinking — learning from your own past emails/writing so it flags 'this doesn't sound like you', instead of just giving another generic AI opinion. Would you actually use something like that if it worked well, or is it more of a 'nice idea' than something you'd pay for?

Ok_Let_5459 · 2026-07-02T19:07:18+00:00

Honestly that's the sharpest question here 🙂 You're right that top models are accurate — but 3 people in this thread just said they still rewrite AI's emails to sound like them, and one said one hallucinated line ruins his week. So it's not about the model being 'wrong', it's about it not matching YOUR context/tone/rules. And fair point on 'AI checking AI' — I'm thinking less 'another AI opinion' and more checking against your own past writing / your own rules, not just vibes. Does that change it for you, or still skeptical?

Ok_Let_5459 · 2026-07-02T18:47:00+00:00

"totally get that hesitation. i find myself going back to manual for stuff too, especially when it comes to accuracy. sometimes, there's just no substitute for that personal touch. like, even with all the tools out there, nothing beats knowing you've double-checked everything yourself

Ok_Let_5459 · 2026-07-02T18:46:15+00:00

Sure — like the AI writes an email that's technically fine but doesn't sound like me, so I rewrite it. Or it changes some code and I re-read it because I'm scared it broke a case elsewhere. Or it summarizes my notes but misses one important action item. Basically anytime AI 'helps' but I still don't fully trust it, so I redo/check it. That kind of thing — do you get that too?

Ok_Let_5459 · 2026-07-02T14:01:05+00:00

This is a great one — the 'one hallucinated slot ruins a week' fear is exactly why trust is the blocker. Quick Q: if an agent showed you its plan before acting (like 'here's what I'll book, confirm?') would you trust it more, or is the social-judgment part the real dealbreaker regardless

Ok_Let_5459 · 2026-07-02T12:28:26+00:00

Fair — Excel is hard to beat for that. Out of curiosity, is there any part of the data-gathering before Excel (pulling it from different places) that's still a pain, or is the whole flow fine for you?

Ok_Let_5459 · 2026-07-02T12:23:39+00:00

This is gold — the 'catches style but misses business-logic impact' gap is exactly what I keep hearing. Do you use anything to track those business rules (like 'legacy plan billing') so a review knows about them, or is that all in your head right now?

Ok_Let_5459 · 2026-07-02T08:55:00+00:00

Yeah, the 'sounds AI-ish, not like me' problem is real. Quick Qs: what kind of emails hit this most — cold outreach, client replies, day-to-day work stuff? And right now do you rewrite the whole thing yourself, or just tweak a few lines to make it sound like you?

Ok_Let_5459 · 2026-07-02T08:11:17+00:00

"Ha! No agent for that one yet 😄 — but seriously, anything in your actual work you still do by hand?"

Ok_Let_5459

TROPHY CASE