The context layer under every AI your team uses. Meetings, decisions, and company knowledge, captured and ready where work gets done.
Joined February 2026
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We do work a little different at CIQ!
I don't "have time" to edit videos anymore. Here is how I used codex to do what would have been ~4 hour task in 15 minutes.
Before starting @CorridorIQ , I did freelance videography & creative work (emeraldvisualmedia.com/) & (prodbyzave.com/).
I love creative work and it is still a major passion of mine. I got quite good at adobe after effects (took years to learn).
This is not performative. I sent the final output to our client, the models are good enough. Bottleneck is your vision & ambition (myself included).
Thought this process was worth sharing
🧵Thread is my entire step-by-step process
Context, context, context!
Really good take by @chamath this week on the importance of giving AI a "brain". The buzzword "company brain" has shot up recently, but this is a clear explanation of why giving AI a plethora of accurate and timely contextual information in the world of an enterprise is so important.
Our approach with @CorridorIQ is to build each individual user in the enterprise a "brain" that models the way their function of the business gets work done.
From there, selected context can be shared to a project, team, or company-wide "brain". Shared context often looks like customer feedback for a sales team, or a SOP turned into a workflow for a business segment.
Rich context + agents = real output. Google Search 2.0 is not going to change any business, but we're finally moving past that phase, and I'm seeing this with our enterprise partners.
CorridorIQ retweeted
So what have we actually done? Earlier this year, inspired by @karpathy’s LLM wiki idea and @nlw’s Personal Context Portfolio, I built my own personal brain: a markdown-native context layer that any agent can read.
Then I built an MCP server around it so I could use the same context across Claude, Codex, and whatever tool I switch to next.
For a lot of my work, I can now use cheaper models and still get much closer to frontier-level output because the system already knows my projects, relationships, decisions, open loops, writing style, and where I left off.
My co-founder @LukeAnderson_6 and I then brought the same approach into @CorridorIQ.
Now we are bringing it to enterprises, starting with founder-led legacy businesses.
Our context-gathering system and personal/company brain approach is already live in production with our first enterprise partner, Bonaventure Holdings, a ~$3B multifamily real estate investment firm. (prnewswire.com/news-releases…)
We are building it in-house as forward deployed AI engineers. You can say "FDE", but really that is a cute way of saying: make sure the system works and is actually adding value.
It is pretty simple (not easy). Fix the bugs. Get user feedback, iterate instantly. Lead company meetings to increase adoption. All things that will make our next deployment's time to value way faster. It is really exciting (and incredibly challenging)
Their context-layer is compounding daily and we are already building deployed solutions for specific teams on top of the data.
AI can find patterns that are statistically correct, but still fail to understand the business logic that makes a decision wrong.
At CorridorIQ, we are building as an AI-native company. Agents and automations are part of our internal operating system.
But the more we build this way, the more obvious one thing becomes: human judgment matters more, not less.
The best teams will use AI to spend less time on repetitive work and more time weighing trade-offs, talking to customers, understanding constraints, and asking why a decision makes sense in the real world.
We break this down in our latest podcast.
Watch here → lnkd.in/eVVvcn9S
#AI #MigrationIntelligence #FutureOfWork
What does an AI-native company truly look like?
@Zgreene17 and Luke Anderson break this down in our second official podcast, going inside CorridorIQ and how we’re building the company from the ground up in the age of AI.
We cover:
- Why context matters more than prompts
- How we’re building a living company brain
- What it means to make your company queryable
- Why founders cannot outsource understanding of the system around them
- How AI is changing the way we operate, build, and make decisions
Find it on Youtube, Apple Podcasts, and Spotify!
#AINative #AIStartups #FounderPodcast
youtube.com/watch?v=wZGSM7_i…
CorridorIQ retweeted
We want to personally work with 3-5 proactive real estate teams over the next few weeks at @CorridorIQ.
Specifically: multifamily owners, operators, asset managers, acquisitions teams, leasing teams, marketing teams, and top brokers who want to understand demand before the market fully sees it.
We will:
1. Sit down with your team and understand the properties, markets, deals, or lease-ups you care about
2. Map where renter or buyer demand is likely coming from and why
3. Break that demand down by geography, income, demographic profile, and movement drivers
4. Turn the data into something useful for your workflow: acquisition review, investment thesis support, leasing strategy, or marketing spend
5. Work with you to make sure this leads to real decisions, not another dashboard nobody uses
You will:
1. Bring a few properties, markets, or deals you are evaluating
2. Tell us what decision you are trying to make
3. Be willing to pressure-test the data with us
Most real estate teams are still making high-stakes decisions with stale reports, broad migration headlines, and scattered spreadsheets.
That is not good enough when you are underwriting a deal, planning a lease-up, allocating PPC spend, or deciding where demand is actually coming from.
CorridorIQ is building the migration intelligence layer for real estate.
If you want a property-specific read on where demand is coming from, who is moving, why they are moving, and how that should affect your next decision, DM me.
Your next market is already signaling.
CorridorIQ shows real estate teams where buyers are coming from in real time, so they can spot demand shifts before the competition does.
Explore it here: corridor-iq.com/
🤖 Made with AI
We are so excited to be bringing our technology to Bonaventure this summer and to have the opportunity work with their stellar team.
Tremendous thanks to @Bisnow for covering the story: bisnow.com/washington-dc/new…
Zero to six posts a week. 3x LinkedIn reach. 3.3x YouTube views.
@mbarbino , a veteran Tampa broker, used CorridorIQ's ranked migration data to expand his reach across 12 feeder markets in three months, growing his network well beyond Tampa.
Read the full case study to see how migration intelligence is changing the way real estate professionals grow their sphere of influence:linkedin.com/posts/corridori…
55,000 tech jobs cut since January. AI is shifting the work landscape.
Many workers are relocating to new cities as remote work, portable skills, cheaper markets pull them out of state.
That's another migration wave heading straight for Sun Belt real estate. 🧵
Displaced workers are home buyers crossing state lines with real buying power and remote salaries.
We built CorridorIQ to show exactly where they're landing in real time — and all the buying power they're bringing with them. corridor-iq.com/
We asked a 30-year real estate veteran what agents should focus on in the age of AI.
His answer was one word: People.
Zave Greene and Luke Anderson sat down with Michael Barbino for our first podcast and talked AI, migration, trust, and why the human side of real estate isn't going anywhere.
#RealEstate #PropTech #migrationintelligence
Full episode here → youtu.be/teKkKfboqyU?si=1o-V…
Our model predicts over $800 million in income crossing county lines every single day: 7,653 cross-county movers daily .
Nearly $300 billion in income is predicted to change states in 2026.
1 in 35 of those household movers are predicted to land in Maricopa County, AZ
That’s 80,000 households in a year
We built a state of the art model that knows where movers are coming from and why. → corridor-iq.com/
Most content tools generate the same generic copy.
Our content engine, powered by Cassian, is not average
AI. It reads real migration data from your corridors,
your brand profile, and buyer demographics to
create YouTube scripts, LinkedIn posts, and market
reports tailored to your voice and our data.
Try it → corridor-iq.com/
#RealEstate #MigrationData
Syracuse is a top origin market into Tampa. But data alone doesn't close deals.
Our Market Intelligence Briefs on CorridorIQ break every corridor down:
WHAT is happening. WHY it's happening. What to do NEXT.
One brief. One corridor. A full playbook.
→ corridor-iq.com
#RealEstate #PropTech #migrationintelligence
Syracuse just became one of the hottest out-of-state markets for Tampa homes. More than other Florida counties
This pattern is wild. Let me break it down ↓
For agents in Tampa and destination markets:
These aren't cold leads. They're warm leads with a financial barrier.
The agent who helps them solve the math — remote work, tax strategy, downsizing equity — closes the deal.
We track hundreds of origin corridors into Tampa alone using CorridorIQ migration data.
Syracuse is top 3. And Louisville, not NYC, is #1.
What market do you think is quietly sending the most buyers to YOUR city?
corridor-iq.com/