I built an AI productivity tool but users keep getting confused by it
Been quietly building something called AETHR over the past few months.
It started as a simple idea, an AI system that connects thinking, planning, and execution so your context doesn’t get lost across tools.
But the more I build it, the more I’m realizing the problem is way less clear-cut than I thought.
Every productivity setup I’ve tried (and even my own system) eventually breaks in the same way:
notes in one place, tasks in another, goals somewhere else… and at some point you just lose the thread of what you were actually doing.
I shared an early version with a few people recently and the feedback was pretty mixed but helpful:
Some people didn’t understand the quadrant structure at all
Some said the AI only feels useful once there’s enough data (cold start problem)
Others said the setup effort feels too high before you even see value
And honestly… they’re probably right.
Right now I’m stuck between two directions:
- make it more structured so it actually works as a system
- or make it way simpler so people get value immediately without “setting up their life”
Still early, still figuring it out, but trying to be honest about the messy part instead of only showing progress.
Would love to hear from others building or using productivity tools:
do you actually want a full system, or just something that tells you what to do next without setup?
Confusion often means the product is exposing its capabilities before establishing one job. I would choose a single first-use outcome, remove choices until that outcome is complete, and only then reveal the broader system.
If I had to build this tools. I'd start small like a shortcut desktop tool or a browser extension. give a feature to drag drop files or paste text as separate cards. A Home/dashboard icon, where I can chat with whatever I have added so far. This chat could be AI built.
That’s an interesting way to think about it.
The “drop things in and chat with them” workflow is actually much simpler than the direction I initially started with. Curious if a tool did only that really well, would you use it regularly or would you still expect task/project management features on top?
The mindset of getting all the feature goodies in one go is not healthy for the founder. Give one basic feature that's valuable and watch your users come up with different way to adjust and keep using your product. Once you find this pattern it validates, user have grown attached to your product. Then, the user's usage pattern will itself guide you what you need to build next but release a tiny MVP of that feature first. We need attachments, but little at a time.
cloud_expert made a point worth sitting with. Fragmentation is rarely the real break. The break happens when the system no longer reflects what is true. Tasks become outdated, priorities shift, and trust in what you are looking at dissolves. Most productivity tools focus on centralizing information, but the harder problem is keeping that information relevant. How do you plan to handle the decay of context when notes and tasks sit untouched for weeks?
I wonder if fragmentation is actually the problem.
I've used plenty of setups where notes, tasks, and docs lived in different places and that wasn't what caused me to stop using them. The real break happened when the system stopped reflecting reality. Tasks became outdated, priorities changed, and I stopped trusting what I was looking at.
A lot of productivity tools try to centralize information. The harder problem might be keeping that information relevant.
This is a very honest product problem.
I think the mixed feedback is telling you something useful: users probably do not want to understand the whole system before they feel the first win.
For an AI productivity tool, the first valuable moment may be much smaller than “connect thinking, planning, and execution.” It might simply be:
“Here is the next useful action from the mess you already have.”
Once that works, the deeper system can earn its place.
The tricky part is that the simple user experience can still hide a complex AI workflow underneath: ingesting notes, summarizing context, identifying priorities, generating the next action, and maybe drafting the first step. Those may not all need the same model.
This is one reason we’ve been thinking about model routing at EvoLink: helping AI products match different workflow steps to the right model/API without forcing the product team to manage every provider separately.
If useful, this is the direction we’re working on: EvoLink Model Router
Curious what the first “aha moment” is for AETHR right now. Is it organizing messy input, suggesting the next action, or helping users actually execute the first step?
This is a really thoughtful way of looking at it.
I think one thing the feedback is teaching me is that users don't care about the architecture nearly as much as they care about getting a useful outcome quickly
Right now, if I had to pick, I think the strongest "aha moment" is probably helping someone turn messy, disconnected thoughts into a clear next step without manually organizing everything first.
The bigger vision is still connecting thinking, planning, and execution, but the more conversations I have, the more I feel that first win has to be much smaller and more immediate than the overall system.
Also interesting point on model routing. It feels like a lot of AI products are going to run into that challenge as workflows become more specialized rather than relying on a single model for everything.
The confusion is the signal here, not the noise. When people don't get the quadrant structure, it usually means the product is asking them to adopt your mental model before they get any value from it.
I wouldn't settle "full system vs simple" in the abstract. Watch what your early users actually do when their context gets lost. Most people don't want to set up their whole life, they want the next obvious action without thinking about it.
So I'd lean toward immediate value first, then earn the right to be a system once they trust it. The cold-start problem you mentioned almost always kills the big-setup version. Get someone to one useful moment in the first two minutes, and you can grow the structure from there.
This is a really good point.
“The confusion is the signal” is honestly something I'm starting to appreciate more from all the feedback I've been getting. If people need to learn the framework before they experience value, that's probably a product problem, not a user problem 😭
And I think you're right about watching behavior instead of debating the philosophy. The more conversations I have, the more I'm leaning toward solving that first useful moment quickly and letting the deeper system emerge later if it actually earns its place.
Really appreciate the perspective.
This is a really honest take, and I think the cold-start problem is one of the biggest issues with AI productivity tools.
My view is that users usually want value before they understand the system. If the tool needs too much setup before it feels useful, people start questioning whether it is saving time or creating another workflow to manage.
I am building in a different space with X-Trend, but I faced a similar decision: should it become a full writing system, or should it help immediately with one clear task? I leaned toward immediate value: captions, rewrites, hashtags, review replies, emails, and proposals directly from the browser.
For AETHR, maybe the simplest entry point is not “set up your productivity system”, but “tell me what to do next based on what I already have.”
That feels like the fastest way to prove value before asking users to commit to structure.
I think that's a really important distinction.
The more feedback I get, the more it seems like people want value before they want structure. "Tell me what to do next" might actually be a better starting experience than asking users to build a system first.
What would make you trust that recommendation enough to act on it?
Recommend not requiring login before seeing a home page. That’s a lot of friction.
That's fair feedback.
I've been focused on getting users into the product, but I may be asking for commitment before they've seen enough value. Would a guest mode or interactive demo have been enough for you to keep exploring?
The simpler direction 100%. I faced the same thing with a tool I built — users don't want to 'set up their system', they want to open it and immediately see value. The cold start problem is real, but I think the answer is reducing the steps before the first 'aha moment', not adding more structure.
I think that's the pattern I'm starting to see across a lot of the feedback.
My instinct was to help people build a better system, but users seem to care much more about getting to that first useful outcome quickly. Out of curiosity, what was the first "aha moment" that made users stick with your tool?
The useful insight here is that users are not asking for a “bigger productivity system.” They are asking for less setup before the product earns the right to become a system.
AETHR sounds like it is trying to connect thinking, planning, and execution, which is a strong direction. But the first experience probably needs to feel much smaller: give me the next useful action from the mess I already have.
The quadrant structure may be correct internally, but if users have to understand the structure before they feel value, the product is making them do work before it proves it can reduce work.
That is also where the brand matters. AETHR has a nice abstract feel, but the product is really about execution clarity: turning scattered notes, goals, and tasks into forward movement. Xevoa.com would fit that direction well because it feels more like a clean workflow layer than a complex productivity framework.
The product should probably feel less like “set up your life” and more like “drop in your chaos, get the next move.”
This is honestly a really sharp reframing.
“The product has to earn the right to become a system” is probably one of the most accurate ways I’ve heard this described so far.
I think I’ve been spending a lot of time thinking about the long-term architecture/context layer, but your point makes me realize the first interaction probably matters way more than the broader philosophy. If users don’t feel immediate reduction in mental load, they won’t stick around long enough for the deeper system to matter.
And the “drop in your chaos, get the next move” framing genuinely resonates with me because it feels much closer to the actual emotional use case than “optimize your life.”
Also interesting point on branding. I still like AETHR conceptually, but I can definitely see the tension between abstract/system language vs clarity/simplicity of purpose.
Really appreciate this. Feels like the kind of feedback that changes how you think about the product itself, not just the messaging around it.
Glad it landed.
I think the next practical move is to turn that into a tighter first-use promise, not add more structure yet.
Something like: “drop in scattered notes, tasks, and goals, and get the next clear move” feels much easier to understand than a full productivity system. That gives users a reason to trust the deeper architecture later.
On the name, I’d keep pressure-testing AETHR against that first-use promise. If it still needs a lot of explanation, that may become friction during launch.
Xevoa is the cleaner brand direction I’d consider if you want the product to feel more like an execution/workflow layer than an abstract life system.
If you want, I can write you a tighter homepage hero, first-use positioning, and a few launch/outreach messages around this direction.
This is honestly incredibly helpful.
The “first-use promise” framing makes a lot of sense because I can already feel how easy it is for the broader vision to become too abstract too early.
And yeah, “drop in your chaos, get the next clear move” probably communicates the emotional value way better than trying to explain a full system upfront 😭
Also appreciate the branding perspective too. I still like AETHR conceptually, but I can definitely see the friction point you’re describing around clarity vs abstraction.
And honestly I’d genuinely love your thoughts on homepage positioning/messaging when you have time. Feels like you understand the tension in the product really well.
Glad this helped.
I think the key is to make the homepage sell the first emotional win, not the full architecture.
Right now the strongest angle feels like:
“Drop in scattered notes, tasks, and goals. Get the next clear move.”
That gives people an immediate reason to try it before they understand the deeper system.
I can write you a tighter homepage hero, first-use positioning, and a few launch/outreach messages around this direction if useful. I usually do that as a small written pack so it is actually usable, not just loose feedback.
And on the name, I would not force a rename today. I would just pressure-test whether AETHR makes the first-use promise clearer or more abstract. If it stays abstract, Xevoa is the cleaner direction I would keep in mind.