A personal operating system for power users of AI.
Boardbox replaces disposable chats with structured profiles, scope-enforced channels, durable artifacts, deterministic indexes, persistent media, and specialist agents.
Interactive demo
Click the workspace. Click the sidebar. Watch the data layer change the answer.
The demo behaves like the app: workspaces separate life and business, channels scope the conversation, and workspace surfaces expose durable data the agent can load when it matters.
general
General discussion and cross-workspace recall
You
10:18 PM
Do you have that bearded photo from the holiday event? I need the good one for a profile.
Atlas
Generalist
Yes. I found two matches and separated them by use case:
Formal wreath photo — black blazer, burgundy tie. Better for credibility-first platforms.
Outdoor selfie — warmer, more casual. Better for social profiles.
Reply to #general...
Full interactive demo coming soon at demo.boardbox.app
Real outcomes
The product is bigger than memory. It changes what the AI is able to do on turn one.
Advice starts from your actual situation
A health agent can load health plus general profiles. A finance agent can load company context and Stripe data. The answer starts specific.
Context does not bleed everywhere
Work, health, dating, faith, and finance stay separate by default. The agent can bridge domains intentionally, but one stray detail does not become global truth.
The AI can be opinionated without being reckless
Specialist agents can be configured to challenge, commit, and reason from evidence instead of optimizing for agreeable chat.
The workspace compounds with use
Profiles evolve with approval, artifacts accumulate, media stays searchable, and indexes keep the map current for future conversations.
How it works
The architecture is the product.
Boardbox is not trying to be a prettier chat window. Chat is the surface. Underneath it is the structured representation that lets any strong model act less like a stranger and more like a specialist who knows the file.
The AI starts with the right picture of you
Profiles capture the parts of your life or company that matter, so a serious conversation does not begin with a context dump.
The right context stays in the right room
Health, dating, finance, product, and engineering each get their own space. A detail from one area only crosses over when it should.
Good answers become living work
Meal plans, specs, studies, briefs, and decision logs survive the thread as artifacts the agent can keep using.
The workspace has a current map
Indexes tell the agent what exists before it loads details, keeping context retrieval accurate instead of vague or expensive.
Cross-comparison
Boardbox is built around the failure modes serious AI users already feel.
This is not a model leaderboard. Better models make Boardbox better. The product exists because mass-market chat products do not give those models the structure they need to know you, challenge you, and keep durable work alive.
Failure mode
The AI agrees too easily when you sound confidentBoardbox countermeasure
Channel agents are designed for pushback, calibration, and domain-specific judgmentFailure mode
One global memory smears unrelated parts of your life togetherBoardbox countermeasure
Profiles are modular, workspaces are separate, and channels decide what context gets loadedFailure mode
Every serious chat begins with a long context reconstruction promptBoardbox countermeasure
Profiles, artifacts, media, and indexes persist as structured workspace dataFailure mode
Useful outputs die in scrollbackBoardbox countermeasure
Plans, specs, analyses, and decisions become artifacts with summaries that feed the indexFailure mode
Images, screenshots, charts, and assets have to be re-uploaded again and againBoardbox countermeasure
Media is persistent, described, tagged, searchable, and available through tool callsFailure mode
Retrieval is vague search or stuffing everything into the promptBoardbox countermeasure
Deterministic indexes give agents a current map, then tools load only what mattersPricing
Priced for people who use AI seriously.
The architecture keeps query cost bounded because agents read indexes first and load only the context they need.
Bring your own key
For API-key power users who want control over model choice and inference costs.
Managed
For users who want Boardbox to manage inference with generous bounded quotas.
Founding lifetime
Capped launch cohort for early believers and product-shaping users.