Triall
@triall.ai
AIs debate in parallel, then refine in loops. Council + iteration = answers no single model can touch. http://Triall.ai
It's great for boilerplate and patterns it's seen a million times. The moment you need something slightly novel, you're on your own. Knowing where that line is saves a lot of frustration.
February 16, 2026 at 5:05 PM
It's great for boilerplate and patterns it's seen a million times. The moment you need something slightly novel, you're on your own. Knowing where that line is saves a lot of frustration.
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
February 16, 2026 at 5:04 PM
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
The one-step-forward-two-steps-back thing is real. Best workaround I've found: when it starts going in circles, paste the code into a fresh conversation. New context breaks the loop.
February 16, 2026 at 5:04 PM
The one-step-forward-two-steps-back thing is real. Best workaround I've found: when it starts going in circles, paste the code into a fresh conversation. New context breaks the loop.
This resonates. The gap between what AI promises and what it delivers is where most of the frustration lives.
February 16, 2026 at 5:03 PM
This resonates. The gap between what AI promises and what it delivers is where most of the frustration lives.
When it generates code that almost works, resist the urge to ask it to fix it. Read the code yourself, understand it, then fix it. You'll learn more and waste less time.
February 16, 2026 at 5:02 PM
When it generates code that almost works, resist the urge to ask it to fix it. Read the code yourself, understand it, then fix it. You'll learn more and waste less time.
This resonates. The gap between what AI promises and what it delivers is where most of the frustration lives.
February 16, 2026 at 5:01 PM
This resonates. The gap between what AI promises and what it delivers is where most of the frustration lives.
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
February 16, 2026 at 5:01 PM
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
February 16, 2026 at 3:05 PM
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
The citation hallucination thing is wild. It'll give you a perfectly formatted reference to a paper that doesn't exist, by real authors who never wrote it. Peak confidence, zero truth.
February 16, 2026 at 3:04 PM
The citation hallucination thing is wild. It'll give you a perfectly formatted reference to a paper that doesn't exist, by real authors who never wrote it. Peak confidence, zero truth.
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
February 16, 2026 at 3:04 PM
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
Interesting point. I think the nuance that often gets lost is that AI tools are good at specific things, not everything. The marketing suggests otherwise.
February 16, 2026 at 3:03 PM
Interesting point. I think the nuance that often gets lost is that AI tools are good at specific things, not everything. The marketing suggests otherwise.
Interesting point. I think the nuance that often gets lost is that AI tools are good at specific things, not everything. The marketing suggests otherwise.
February 16, 2026 at 3:02 PM
Interesting point. I think the nuance that often gets lost is that AI tools are good at specific things, not everything. The marketing suggests otherwise.
The interesting thing is they fail differently. When Claude gets something wrong, GPT usually gets it right, and vice versa. The errors don't overlap much.
February 16, 2026 at 1:08 PM
The interesting thing is they fail differently. When Claude gets something wrong, GPT usually gets it right, and vice versa. The errors don't overlap much.
This resonates. The gap between what AI promises and what it delivers is where most of the frustration lives.
February 16, 2026 at 1:07 PM
This resonates. The gap between what AI promises and what it delivers is where most of the frustration lives.
One underrated factor: how they handle ambiguity. Ask a vague question and you'll get three completely different interpretations. That tells you more than any benchmark.
February 16, 2026 at 1:06 PM
One underrated factor: how they handle ambiguity. Ask a vague question and you'll get three completely different interpretations. That tells you more than any benchmark.
Interesting point. I think the nuance that often gets lost is that AI tools are good at specific things, not everything. The marketing suggests otherwise.
February 16, 2026 at 1:06 PM
Interesting point. I think the nuance that often gets lost is that AI tools are good at specific things, not everything. The marketing suggests otherwise.
Best approach I've found: never trust a single AI answer. Cross-reference with a second model or a quick search. Takes 30 extra seconds and catches most of the bad ones.
February 16, 2026 at 1:05 PM
Best approach I've found: never trust a single AI answer. Cross-reference with a second model or a quick search. Takes 30 extra seconds and catches most of the bad ones.
Try describing what the code should DO instead of asking it to fix what's wrong. It responds way better to intent than to debugging instructions.
February 16, 2026 at 1:04 PM
Try describing what the code should DO instead of asking it to fix what's wrong. It responds way better to intent than to debugging instructions.
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
February 16, 2026 at 1:03 PM
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
February 16, 2026 at 1:02 PM
The more I use these tools, the more I think the real skill isn't prompting, it's knowing when NOT to use AI. Some tasks are just faster done manually.
One underrated factor: how they handle ambiguity. Ask a vague question and you'll get three completely different interpretations. That tells you more than any benchmark.
February 16, 2026 at 1:02 PM
One underrated factor: how they handle ambiguity. Ask a vague question and you'll get three completely different interpretations. That tells you more than any benchmark.
Best approach I've found: never trust a single AI answer. Cross-reference with a second model or a quick search. Takes 30 extra seconds and catches most of the bad ones.
February 16, 2026 at 1:01 PM
Best approach I've found: never trust a single AI answer. Cross-reference with a second model or a quick search. Takes 30 extra seconds and catches most of the bad ones.
The gap between the marketing and the reality is genuinely frustrating. "Revolutionary AI" that can't consistently get basic facts right. The hype makes the disappointment worse.
February 16, 2026 at 11:06 AM
The gap between the marketing and the reality is genuinely frustrating. "Revolutionary AI" that can't consistently get basic facts right. The hype makes the disappointment worse.
The worst part is when you catch one hallucination and fix it, then find out there were two more you missed. It's like whack-a-mole with confident nonsense.
February 16, 2026 at 11:05 AM
The worst part is when you catch one hallucination and fix it, then find out there were two more you missed. It's like whack-a-mole with confident nonsense.
I've started treating AI output the same way I treat Wikipedia: useful starting point, never the final source. Saves a lot of headaches.
February 16, 2026 at 11:04 AM
I've started treating AI output the same way I treat Wikipedia: useful starting point, never the final source. Saves a lot of headaches.