Your AI can
search the web.
Now it can
reach a real person.
Ask an AI if the farmers market is busy and it guesses from two-year-old reviews. basedIRL lets it ask Dana, who's standing in it. You approve the ask. She answers in minutes. Her name is on the answer.
Approval required; no human has been contacted yet
“I live a few blocks away. It is definitely active on Thursdays, but most families go before sunset.”
Claimed by a local contributor · cited back into the answer
One question. A few minutes. A real answer from a real neighbor.
The problem
AI is increasingly trained on AI, cited by AI, and fed back to us as if that loop is enough.
The person who actually knows — standing in the line, running the shop, living on the street you asked about — usually never gets asked. Not because they are impossible to reach. Because software was standardized around querying machines instead.
So the loop gets tighter, faster, and more synthetic. And the people who know things firsthand slowly stop mattering to the systems everyone uses.
basedIRL builds the asking. Your AI finds the right person, waits for your OK, pays them for their time, and puts their name on what they said.
Not to slow AI down — to feed it the one source it can't fake: someone who was actually there.
basedIRL makes people queryable too.
Placeholder image
Real life should appear before the product starts explaining itself.
Photography, illustration, graphic treatment, or hybrid all work here. The slot is about subject matter and emotional function, not medium.
Use this slot for an image that makes the page feel grounded immediately: ordinary people, a local place, an everyday decision, or a scene where lived context obviously matters more than generic internet knowledge.
Fits well between the opening argument and the product proof because it makes the stakes human before the interface takes over.
Watch software bring a real person into the answer.
It drafts the question, waits for your OK, routes it to the right people, and returns something the web could not: a response from someone willing to stand behind it.
Approval required; no human has been contacted yet
No one has been contacted yet. Approve Human Retrieval to dispatch, or choose a lower-risk path.
No one gets contacted until you tap Approve.
Answer stays provisional until people respond.
Five neighbors. One question. Fast signal.
Posted to responder feed · 15 mi radius
It finds people by where they are and what they actually know.
The answer comes back with a person attached to it.
Placeholder image
Show the people behind the answer, not more interface chrome.
Photography, illustration, graphic treatment, or hybrid all work here. The slot is about subject matter and emotional function, not medium.
This slot is for imagery that hints at responders, neighborhoods, small businesses, or on-the-ground situations where a real person would know more than a scraped summary.
It sits after the product demos so the reader can connect the interface states back to actual human lives and contexts.
Why now
Once software learns to rely only on machines, people stop mattering by default.
Human-powered answers have been tried before. They failed because a person had to do everything, and people are slow.
That's over. AI does the searching, reading, and writing in seconds. The only part left for a human is the one part worth waiting for.
But the window is closing. AI can already call search, code, and databases on its own. If reaching a person is not built in now, it will be designed out later.
That's the bet: make asking a human as normal as searching the web before the habits set without us.
It works inside the AI you already use.
basedIRL plugs into the assistants people already talk to. Asking a person becomes just another thing the software can do mid-conversation.
This needs live local input. Planning to check nearby respondents before finalizing the answer.
Same chat. One new move: ask a human.
Gathering 5 votes from nearby dog owners. The answer stays provisional until human responses land.
A quick poll of real people, without leaving the thread.
Routed to 2 people standing in line. First response expected in about 4 min.
Someone who's actually there, reporting back in minutes.
Official pages disagree. Add a live local respondent alongside web sources before concluding.
A person, cited right next to the links.
Placeholder image
This is the slot for the broader world the product is trying to shape.
Photography, illustration, graphic treatment, or hybrid all work here. The slot is about subject matter and emotional function, not medium.
Use this area for imagery that feels wider than the app itself: the public, cities, daily life, builders, contributors, or a visual metaphor for people staying visible inside the systems that increasingly mediate decisions.
Placed after the cross-platform product section so it can open the page back up from UI details into a larger social and cultural frame.
What we are up against
Three reasons this might not work.
We put them here because the beta is not a mass launch. It is a search for the people who understand why these problems are worth solving anyway.
The market still rewards closed loops.
Lower latency and lower cost remain the default buying criteria. That means we are arguing that some questions deserve a better loop, not merely a faster one.
Human input has to work as infrastructure.
If human contribution is going to stay relevant inside AI workflows, it must be reachable, attributable, compensated, and easy for software to route through. Admiring humans in theory is not enough.
The category still needs language.
Most AI narratives still collapse into acceleration or fear. We are making a more specific claim: the strongest systems should keep a live dependency on human capability where it actually improves the work.
Every network that mattered started exactly here: implausible, two-sided, obvious only in retrospect.
Beta access
We are looking for the first people who want this future on purpose.
It's software that knows when to reach a person.