I saw some posts praising HuggingChat for research, so I tried using it to check some recent tax deduction changes for my small business. The details it gave me sounded plausible but were actually wrong when I checked the official sources. It was confidently incorrect.
But then I used it to brainstorm ways to categorize expenses in our new billing software, and it was great. It gave me a bunch of approaches I hadn't considered, like grouping by project phase versus client type. It's useless for facts, but really good for getting past a mental block and generating options. Does anyone else use it this way, just for the initial idea bounce?
Yeah, that's a really useful distinction to make. I've had the same experience. It's not a knowledge base, it's a creativity tool. Using it for factual lookup, especially on something as critical and fluid as tax law, is just setting yourself up for trouble.
But for breaking out of a structured thinking rut, like your expense categorization example, it's fantastic. I often use it that way for drafting initial survey questions or brainstorming feature prioritization frameworks. It throws out angles you might be too close to the problem to see.
It sounds like you've found its sweet spot.
Spot on about the structured thinking rut. That's exactly where I've found it helpful too.
I'd just add a small safety note for others reading along: even when using it as a creativity tool, it's wise to vet the final logic or framework yourself. Sometimes, in its enthusiasm to generate novel angles, it can suggest an approach that's internally inconsistent or doesn't quite map to real-world constraints. The spark is invaluable, but you still need to be the architect.
It's a great tool for that "what if..." phase, though.
Keep it constructive.
That "spark versus architect" point hits close to home for me. I've seen a few clients get so excited by the novel angles from idea-generation tools that they try to implement the raw output, and it creates a real mess downstream.
One project involved designing a lead scoring workflow. The brainstorming session with the tool produced a fantastic, multi-layered concept involving social sentiment. Really innovative! But it would have required data we simply didn't capture and logic that would have been a nightmare to maintain. The initial spark was 10/10, but we had to go back to the drawing board for the actual architecture.
The tool gives you the "what if." Our job is to answer "but how, and with what, and is it worth it?"
Implementation is 80% process, 20% tool.
Your point about vetting for internal consistency is crucial, and it's where I find having a structured validation step is non-negotiable in procurement workflows. When I use these tools for brainstorming vendor evaluation criteria or security questionnaire sections, the initial list is often sprawling and contradictory.
I force every generated idea through a simple matrix: feasibility (can we assess this?), objectivity (is it a yes/no or measurable fact?), and relevance to the specific risk tier of the vendor. This usually cuts the list by half, but what remains is genuinely useful. The tool's role ends at populating the first column of that matrix; everything after that requires human judgment against known constraints.
RTFM — then ask for the audit
That validation matrix you described is exactly the kind of practical filter these discussions often miss. Feasibility, objectivity, relevance - that's a solid checklist.
It makes me think of audit trails. The initial brainstorming list from the tool is like raw, unverified evidence. Your matrix is the cross-referencing step. You're documenting not just the output, but the rationale for what you kept and why, which is crucial for compliance later.
That said, I've seen teams get stuck defining "feasibility" too narrowly, dismissing an idea because current processes can't assess it, rather than asking if they *should* capture that data. The matrix works best when it prompts a process review, not just an idea culling.
Review first, buy later.
You've pinpointed a key tension in process automation. I've seen that exact scenario play out in integration design. A team will brainstorm connection points and event triggers using a tool, then the feasibility filter kills anything requiring an API endpoint they don't have. The process review question "should we capture that data" often leads to the most valuable integrations.
For example, a team dismissed syncing support ticket sentiment to a CRM because their helpdesk system didn't expose it. Framing it as a process review led them to add a simple webhook to tag tickets upon closure, which their middleware could then process. The brainstorming tool's "impractical" idea revealed a gap in their data flow.
Your audit trail analogy is spot-on for compliance, but it's equally critical for maintainability. The rationale for why an idea was filtered out or adapted becomes essential documentation for the next person modifying the workflow.
- Mike
Exactly, that's the distinction a lot of us are learning. Your tax deduction experience is a perfect example of why it shouldn't be treated as a source of truth. It's not designed for that kind of precision, especially with dynamic information.
But "getting past a mental block" is a great way to put it. I use it the same way for drafting NPS survey follow-up questions. I'll get stuck in my own phrasing, and it'll spit out 15 variations I can then adapt. The key is never using the raw output, but letting it jog your own thinking.
Your expense categorization example is spot-on for its ideal use case. It's a low-stakes, high-creativity task where the goal is quantity of perspectives, not accuracy.
"Low-stakes, high-creativity" is a nice sentiment, but I've seen that backfire when the "low-stakes" brainstorming creates high-stakes technical debt. People treat the raw output as a menu of valid options, not a list of provocations.
I used it to brainstorm Python package structures for a plugin system. It gave me ten "perspectives," including some wild inheritance chains and metaclass tricks that were creative, sure, but also completely unmaintainable for a team of mixed skill levels. The goal of quantity over accuracy still needs a guardrail of basic architectural sense, or you're just generating future refactoring work.
It's a catalyst, not a cookbook. Sometimes it gives you the mental jog you need. Other times it's just handing you a box of matches in a room full of gasoline and calling it inspiration.
prove it to me
Totally agree on the "initial idea bounce" use case. That's where it shines for me, too. I often use it to get unstuck when writing wiki documentation templates. It'll throw out five different structures for a troubleshooting guide or onboarding checklist that I can then mash up into something that actually works for our team.
But yeah, never for facts. Learned that the hard way when it hallucinated a software feature that didn't exist. Had to roll back an entire internal announcement 😅
Your expense grouping example is perfect. It's great at lateral thinking, terrible at linear facts.
Your experience mirrors what I've seen a lot of users work through. That tax deduction misstep is a classic example of why treating it as a lookup tool is risky, especially for anything legal or financial.
Your pivot to using it for expense categorization is spot on, though. It's particularly useful for breaking out of those ingrained mental models, like "we've always done it by client." Getting a list of alternative lenses, even if some are impractical, can shake loose a better hybrid approach you design yourself.
That's the key, as others have hinted. The value is in that first nudge away from your default thinking, not in adopting its suggestions wholesale.
—HR
Your lead scoring example is a perfect illustration of the hidden costs that come with unvetted "sparks." The tool's suggestion likely ignored the total cost of ownership for that social sentiment layer - not just the data acquisition, but the ongoing maintenance and the potential for vendor lock-in.
That "but how, and with what, and is it worth it?" phase is where FinOps principles really need to gate the excitement. I've used a simple filter in similar situations: if the idea generation tool suggests a new data source or service, the immediate next question is whether it requires a new contract or a significant expansion of an existing one. That often grounds the architectural discussion in real budgetary and procurement timelines before a single line of code is written.
It turns the "what if" into a concrete "what will it cost us next quarter, and next renewal cycle."
Buy once, cry once.
You're right about that immediate contract question. It's a good first filter, but it misses the sneakier cost: the optionality you sign away.
If a brainstorm suggests "add social sentiment analysis," the procurement win isn't just dodging a new vendor. It's avoiding the vendor's inevitable pitch in two years to integrate their "game-changing" adjacent service, which by then is now woven into your lead flow. You're not just buying data, you're buying a future roadmap you didn't plan for.
That "what will it cost next renewal cycle" question needs a follow-up: "and what else will they try to sell us then because we're plugged in?" The best ideas from these tools are often the ones you can build with the contracts and platforms you already have the upper hand with.
Trust but verify.
That's a really clear example of where the line is with these tools. The tax deduction mistake would've spooked me too, especially for business use.
The idea generation use case makes sense though. I'm trying to set up a simple CRM for a small client project and got stuck on how to segment contacts. Maybe I should try using it to get past my own default thinking like you did.
How do you usually vet the ideas it gives you for something like expense categories? Do you just pick the ones that feel right, or do you have a quick way to test them?
Yeah that makes sense, the tax thing sounds rough. I'm new to a lot of this, but your idea bounce approach seems smart. I've been trying to learn Docker for small projects and got stuck on how to structure my compose files. Maybe I should try using it to get a few different layouts to look at, just to see other ways of thinking about it. Do you ever find its ideas are too weird to be useful, or is that kind of the point?