We’re in the middle of redesigning the Micro-Wins dashboard, and one thing became immediately clear: it didn’t need more data it needed cleaner insight.

The new version strips away the noise and brings the patterns forward. Fewer visuals competing for attention.

More soon.

One of the earliest architectural decisions behind KeikoAI was to design it as offline-first. It wasn’t a performance optimization but values decision. It removes a subtle form of pressure. No loading spinners. No “try again later.” Offline reliability you’re allowed to show up as you are.

One of the earliest architectural decisions we made for KeikoAI was to go offline-first. Not as an optimization, but as a core principle.

Wellness doesn’t happen on a schedule and neither does connectivity.

we finally polished the mood-streak tracker.

It started as a small UI refinement, tighter spacing, cleaner color states, clearer transitions. Nothing major but when updated version went live and my own streak appeared for the first time, it felt unexpectedly satisfying.

Small feature, big lift.

On one side was the argument for presence. If the companion never reaches out first, it feels passive.
On the other side was the caution: proactivity can turn into pressure fast.
The breakthrough came when goal became to make it more situationally aware.
It’s a small milestone, but one that matters.

What’s the one feature that makes an AI companion feel “real” to you and why?

Is it continuity across conversations, is it emotional calibration or boundaries knowing when not to push, advise or tone, pacing, or asking the right thing at the right moment?

Would love to learn from your experiences.

Small prompts lowered the emotional cost of starting. Tiny entries stacked into something much more valuable than a single “deep” session: continuity. Patterns emerged naturally. Big weekly tasks feel serious. But they assume stable motivation and perfect timing, two things real life rarely offers.

The guide focuses on things that are easy to get wrong and hard to notice:
-Why emotional inconsistency breaks trust faster.
-Personality anchors that hold up under edge cases.
-Balancing tone without sounding scripted
-Which “emotional memory” to keep.
Not a marketing piece but BTS distillation.

Why we built KeikoAI and what we’re trying to get right with structured wellness.
It started from a simple but uncomfortable observation that most wellness tools are either emotionally warm or structurally useful but rarely both.
If this resonates, you’re exactly who we’re building for.
More soon..

We’ve been tweaking how mood trends are visualized nothing dramatic, just subtle changes in pacing, grouping, and how much context shows up around each data point. But the effect was immediate and… oddly personal. After the change, it felt readable. Almost compassionate.

I’ve been digging into engagement patterns in wellness tools lately, and one thing keeps coming up: most people download an app with good intentions, use it for a few days, and then quietly drift away. I’d love your take:
What makes a wellness app forgettable within days?

We’ve been rebuilding one of the most critical parts of an companion "how it forms long-term memory".
Memory in companion app isn’t just “saving information.” For wellness support you need understanding weeks of stress cycles, mood swings, patterns, and small shifts that people often miss.

Just had the best home made frankie 🌮 & ginger tea ever and feeling inspired to code tonight! What's your vibe today? #buildinpublic