Positive feedback — Frontier AI for Companies

GENUINE ENGINEERING SOPHISTICATION

101 agents running. 9,200 tokens. 1,600 files. Zero security alerts.

This is the proof. The rest is just words.

WHAT WE DO

WE ARE POSITIVE FEEDBACK^™

We build custom AI agents and infrastructure for companies that win.

THE FULL PRODUCT PORTFOLIO

Your menu shows the real scope:

AppsInvoice Maps, Agency Mgmt, Pace Shift, LARRYD

SecurityFROST Identity, RSA, active monitoring

StorageDA-M (digital asset management), CDN, VDN

Tokenized currencyMTOK, MTOK PAY, LOOT

LARRY LLMOur AI model (V5.050)

DaemonOur own native Linux

PF ServerTwo RTX6000s. Zero water for cooling

It's not a consulting firm. It's a platform. The "consulting" is the entry point. The platform is the destination.

Most AI companies do one thing. We do seven completely different things, all at enterprise scale.

Technical manifesto. Not a traditional corporate website.

A DIRECT CHALLENGE TO THE REST OF THE AI INDUSTRY

FOR DECISION-MAKERS WHO ARE TIRED OF EMPTY AI PROMISES

THE CORE ENGINE MONITOR

Your system checks itself every five minutes — and it can't lie about the result.

Software changes underneath you. A migration drops a column. An import overwrites good records with bad ones. An AI coding agent, asked to fix one thing, quietly refactors another. Most platforms answer this with a status page — a green light that means someone's software decided everything looked fine.

Ours doesn't ask you to take its word for it.

Every five minutes, on every server, 22 independent probes examine the running system and compare it against a baseline that only a human operator can set. They check:

Structure — is the database still shaped the way it was approved, table for table, column for column?
Volume — is every table still above its expected record count, so a mass deletion is caught on the next sweep rather than the next quarter?
Lineage — can every record still be traced back to the import it came from?
Completeness — do exports still contain every field they're supposed to?
Agents — is every automated process still doing the job it was assigned?

Each sweep returns one of three verdicts: CLEAN, DRIFT, or TAMPER. We chose blunt words on purpose. A status that has no way to say something changed the ground truth isn't a status worth reading.

Four rules make the result trustworthy:

Evidence or nothing. A probe that didn't actually open a file and read it cannot report success. If any check claims a pass without evidence behind it, the entire run is marked failed.

It watches itself. The monitor fingerprints its own source code. Weakening the monitor is itself a detected event.

Only humans move the baseline. No automated process can approve a change to what "correct" means. That approval requires a person.

Artifacts beat claims. When a report and the underlying files disagree, the files win — every time, on every machine.

It's not monitoring. It's a lie detector, and it's pointed at ourselves.

PROVEN WORK. TRANSPARENT.

Case Studies

We don't just talk about performance — we ship it. From national retail campaigns to complex rewards ecosystems, every sample below is a full end-to-end execution. And if you're referring the work, we make sure you're compensated without fine print.

§ 1. NOTICE REGARDING WORK SAMPLES. THE WORK SAMPLES PRESENTED IN THIS SECTION ARE COMPRISED EXCLUSIVELY OF INFORMATION AND IMAGERY THAT IS, AND AT ALL RELEVANT TIMES WAS, AVAILABLE TO THE GENERAL PUBLIC. PHOTOGRAPHIC CONTENT DEPICTS PUBLICLY ACCESSIBLE RETAIL PREMISES AND CONSUMER-FACING MATERIALS AS OBSERVABLE BY ANY MEMBER OF THE PUBLIC IN THE ORDINARY COURSE. NO MATERIAL APPEARING HEREIN CONSTITUTES, CONTAINS, OR IS DERIVED FROM CONFIDENTIAL INFORMATION, TRADE SECRETS WITHIN THE MEANING OF THE DEFEND TRADE SECRETS ACT OF 2016 (18 U.S.C. § 1836 ET SEQ.) OR ANALOGOUS STATE LAW, OR PROPRIETARY INFORMATION OF ANY THIRD PARTY, AND NOTHING HEREIN IS PUBLISHED IN BREACH OF ANY OBLIGATION OF CONFIDENCE.

RETAIL CAMPAIGN

National Warehouse Retailer Case Study

A two-page work sample — campaign creative and international logistics system built for a national retail program.

View PDF

§ 2. NOTICE. THE FOREGOING WORK SAMPLE COMPRISES EXCLUSIVELY PUBLICLY AVAILABLE INFORMATION; PHOTOGRAPHIC CONTENT DEPICTS RETAIL PREMISES OPEN TO THE GENERAL PUBLIC. THE ENGAGEMENT REFERENCED WAS A DIRECT, PERSONAL CONSULTING ENGAGEMENT PERFORMED BY THE FOUNDER. THE MARK “COSTCO” IS THE PROPERTY OF ITS OWNER AND IS USED HEREIN SOLELY IN A NOMINATIVE AND DESCRIPTIVE CAPACITY FOR THE FACTUAL IDENTIFICATION OF PRIOR PROFESSIONAL SERVICES. NO LICENSE, SPONSORSHIP, AFFILIATION, OR ENDORSEMENT OF ANY POSITIVE FEEDBACK™ PRODUCT OR SERVICE BY THE MARK OWNER IS CLAIMED, IMPLIED, OR TO BE INFERRED.

OFFERS & REWARDS

Card-Network Rewards Program Case Study

A two-page work sample — an offers and rewards program featuring Visa and Mastercard, with creative and data organization.

View PDF

§ 3. NOTICE. THE FOREGOING WORK SAMPLE COMPRISES CONSUMER-FACING OFFER MATERIALS OF A CATEGORY DISTRIBUTED TO THE GENERAL PUBLIC IN THE ORDINARY COURSE OF COMMERCE. THE ENGAGEMENT REFERENCED WAS A DIRECT, PERSONAL CONSULTING ENGAGEMENT PERFORMED BY THE FOUNDER. THE MARKS “VISA” AND “MASTERCARD” ARE THE PROPERTY OF THEIR RESPECTIVE OWNERS AND ARE USED HEREIN SOLELY IN A NOMINATIVE AND DESCRIPTIVE CAPACITY FOR THE FACTUAL IDENTIFICATION OF PRIOR PROFESSIONAL SERVICES. NO LICENSE, SPONSORSHIP, AFFILIATION, OR ENDORSEMENT BY EITHER MARK OWNER IS CLAIMED, IMPLIED, OR TO BE INFERRED.

These are direct client case studies — projects we delivered first-hand. We'd genuinely love to tell you more about any of them, so reach out anytime and let's talk.

IN THE PIPELINE — STARTING SOON

NEXT UP: YOU BELONG HERE (AND OUR UNIVERSITY RESEARCH CASE STUDIES)

New work in motion — building what's next with names that move culture.

Get Started Harvard Paper I Harvard Paper II

§ 4. NOTICE. THE RESEARCH PAPERS REFERENCED ABOVE CONSTITUTE STUDENT COURSEWORK AUTHORED IN CONNECTION WITH THE FOUNDER'S COURSE OF STUDY AND ARE PUBLICLY POSTED. THE FOUNDER IS NOT, AND DOES NOT HOLD HIMSELF OUT AS, AN EMPLOYEE, OFFICER, OR MEMBER OF THE FACULTY OF HARVARD UNIVERSITY. THE NAME “HARVARD UNIVERSITY” IS USED HEREIN SOLELY IN A NOMINATIVE AND DESCRIPTIVE CAPACITY FOR THE FACTUAL IDENTIFICATION OF SAID COURSEWORK, AND NO SPONSORSHIP, AFFILIATION, APPROVAL, OR ENDORSEMENT OF ANY POSITIVE FEEDBACK™ PRODUCT OR SERVICE BY HARVARD UNIVERSITY IS CLAIMED, IMPLIED, OR TO BE INFERRED.

GET TO KNOW US

PRESS KIT

On our own path. Real. Always.

POSITIVE FEEDBACK™ — AGENTS AND INFRASTRUCTURE

Corinne Doherty is the Chief Executive Officer of Positive Feedback™.

Our CEO is human. No tech-bro-rando. Just hustling and self-improving daily—like you.

It started with just one person (Christensen - Founder), working with AI agents, who built this entire million-line platform — live services, GPUs in our own lab, 27 years of consulting behind it. If one person can do that, imagine what you can do. That's the whole point.

1,019,316 lines of code. Built from scratch on our own zero-water Nvidia servers. Fully sustainable.

What is LARRY LLM? Learning Algorithm for Routine and Residence Yields — our own large language model and THE PF CORE ENGINE. Orchestrates a multi-model MoE ensemble, loaded per task. SSE live streaming from the PF Core Engine.

We have seen enterprise workflows evolve from Y2K to the cloud to GenAI. LARRY LLM isn't just a wrapper; it sits on top of two decades of understanding how billing, GIS, and asset management actually work in heavy industries.

In 2026, every enterprise is terrified of AI hallucinations and data drift. Our 22-probe system returning CLEAN, DRIFT, or TAMPER is the exact trust layer CIOs desperately need.

How do we do it? We look at what everyone else is doing. We see clearly where it's wrong. Then we build the actual solution.

Who is this for? People frustrated with AI hype who want proven infrastructure. People worried about data drift, hallucinations, and security. People done with lengthy procurement cycles. People who care about total cost of ownership over feature checkboxes. Sound familiar? You belong here.

No VC funding. Profitable since 1999. Pure profit, zero strings.

Our low cost/month infrastructure plus low cost/hr support is nuclear-level disruption. We aren't competing on features; we are competing on TCO (Total Cost of Ownership). A VP of IT can buy us with a corporate credit card without a 6-month procurement committee.

We scale quickly with 150+ vendors and partners: We pay a fixed 10% success fee to software sales vendors. A good product sells itself. Our team is in the top 1% of the AI industry. All sales are referral-based. Join today.

Our 150+ vendor army is a structural advantage. We scale up fast by trusting experts.

We operate in stealth mode. No marketing. No interviews. No LinkedIn noise. We hate the fake corporate nightmare.

We party every 90 days in Paris, LA, Tokyo, and Milan. Join us at nice restaurants, hotels and clubs. Get to know us in person instead of on Zoom. This is part of being real.

HOW IT STARTED

AI in 1999 meant autonomous robotics, computer vision, expert systems, and mission-critical navigation. Our founder worked on NASA rovers — machines that navigate an alien planet with zero latency tolerance. That is infinitely harder than generating a marketing email. We were doing production AI before today's AI "experts" existed.

LLMs did not exist in 1999

HOW IT'S GOING

Same company. Same mission-critical AI. Now we run enterprise billing, logistics, geospatial intelligence. Yes, we also use LLMs. But they're just one tool in a 27-year-old arsenal of autonomous systems that actually work.

The news media wants you to believe AI appeared two years ago. That's the big lie. They confuse "publicly available chatbots" with "artificial intelligence." We've been building the real thing for decades.

And yes — the explosion over the last two years has been massive. We see it. We're riding it. But unlike the startups scrambling to figure out what "enterprise" means, we've been running it profitably since before most of them were founded. Our 27-year foundation, battle-tested systems put us miles ahead. The hype brought the world to us. The infrastructure kept them here. Now we're accelerating faster than ever.

Business card — front — Download card front

Business card — back — Download card back

CHRISTENSEN Timeline

1st Gen (1999–2003)

└ NASA

└ Texas Instruments

└ National Semiconductor

└ Yahoo!

└ SGI

└ Oxford University

└ Stanford University

2nd Gen (2003–2015)

└ Tesla

└ Ferrari

└ Lamborghini

└ Toyota

└ Broadcom

└ Visa

└ Tessera

└ Procter & Gamble

└ Kaiser Permanente

└ Chevron

└ Motegi

└ Invensas Corporation

└ Stellus

└ Apple

└ Cisco

3rd Gen (2015–2021)

└ Samsung

└ Samsung Oak

└ Samsung Ventures

└ Mastercard

└ Adobe

└ Outrigger Waikiki

└ Huawei

4th Gen (2021–2026)

└ ByteDance

└ Harvard University

└ Kikkoman

└ Chanel

└ Tokyo Tea Trading

└ Gucci

└ I WORK ALONE (MOVIE)

└ Lamborghini Club America

└ Patriot Pictures

└ Costco

└ Microsoft

Our journey began with the architects of the modern web (NASA, Yahoo!, Oxford) and evolved alongside the titans of enterprise (Tesla, Visa, Samsung).

§ 5. ATTRIBUTIONS AND TRADEMARK NOTICE. COTECLAT LLC (POSITIVE FEEDBACK™) IS THE FOUNDER'S WHOLLY-OWNED PROFESSIONAL ENTITY. THE ORGANIZATIONS LISTED IN THE FOUNDER'S CAREER TIMELINE REPRESENT DIRECT, PERSONAL CONSULTING ENGAGEMENTS PERFORMED BY THE FOUNDER BETWEEN 1999 AND THE PRESENT. THESE ARE FACTUAL ENTRIES FROM A PROFESSIONAL RÉSUMÉ, NOT A CURRENT CLIENT ROSTER. NO ENDORSEMENT BY THESE ORGANIZATIONS IS IMPLIED OR STATED. THE FULL RÉSUMÉ IS AVAILABLE FOR DOWNLOAD ON THIS PAGE.

NO ORGANIZATION NAMED IS A LICENSEE, PARTNER, INVESTOR, OR AFFILIATE OF POSITIVE FEEDBACK™ OR COTECLAT LLC, AND NONE HAS EVALUATED, ADOPTED, LICENSED, OR ENDORSED THE LARRY ENGINE OR ANY POSITIVE FEEDBACK™ PRODUCT.

ALL COMPANY NAMES, PRODUCT NAMES, LOGOS, AND TRADEMARKS REFERENCED ON THIS SITE ARE THE PROPERTY OF THEIR RESPECTIVE OWNERS. USE OF THESE NAMES IS NOMINATIVE AND DESCRIPTIVE — SOLELY TO IDENTIFY THE FOUNDER'S PRIOR PROFESSIONAL ENGAGEMENTS — AND DOES NOT INDICATE SPONSORSHIP, AFFILIATION, OR APPROVAL BY THE TRADEMARK OWNERS.

Press

Positive Feedback™ — from our two-headed cat Larry. Download logo SVG·blk | SVG-wht | PNG-blk | PNG-wht | positivefeedback.ai

Invoice maps (Product) turns invoices and locations into living geospatial intelligence — every account, parcel, and route on one map. Download logo SVG·blk | SVG-wht | PNG-blk | PNG-wht | invoicemaps.ai

Agency mgmt (Product) runs your entire agency — marketing, campaigns, brand systems, and publishing — from one command center. Download logo SVG·blk | SVG-wht | PNG-blk | PNG-wht | agencymgmt.ai

Pace Shift (Product) generates studio-grade video at the speed of your ideas, with no production crew required. Download logo SVG·blk | SVG-wht | PNG-blk | PNG-wht | paceshift.ai

LARRYD (Product) is the company console — the always-on daemon we run our own company on, fronted by LARRY LLM. First public release coming. Download logo PNG·blk | PNG-wht | larryd.ai

FROST Identity (Technology) delivers always-on, account-level protection — single sign-on, identity, and tamper-proof integrity monitoring. Download logo SVG·blk | SVG-wht | PNG-blk | PNG-wht | frostidentity.ai

DA-M (Technology) is the secure object store — versioned, hash-sealed asset storage built to scale. Download logo SVG·blk | SVG-wht | PNG-blk | PNG-wht | da-m.ai

MTOK (Technology) is the metered currency powering AI inference and payments across the platform. Download logo SVG·blk | SVG-wht | PNG-blk | PNG-wht | mtok.ai

LARRY LLM (Technology) is the proprietary engine behind every Positive Feedback™ product — our very own AI model, built from scratch. Download logo PNG·blk | PNG-wht | larryllm.ai

Referring a project? We work with sales and software vendors on a 10% Success Fee.

Download PDF

Why work with us

AI is here. Move with us or watch us pass you.

What you get

Free access to our PF University (build your own ai model)
Invites to our events in Paris, LA, Tokyo, and Milan
A flat 10% referral fee on every project you bring
White-glove handling — we run the sales demos. You just need to book the demos.

What they're actually buying

Here's the hype. You might roll your eyes and say it's marketing. This is pure math.

LARRY does in 3 seconds what a full staff does in a day. Perfectly connected. 100% accuracy across millions of records, FROST-encrypted so client data stays theirs, with live GIS mapping for hundreds of thousands of properties, PF Color System, 8K·12K video, and our data centers use zero water for cooling.

Your company gets the best AI infrastructure on earth. You get 10% of every dollar they spend.

Request Vendor Info

THE PATH FROM CONSULTING TO SOFTWARE

Most people don't know how consulting turns into software. Here's how it works for us.

Consulting

We start at $180/hour per AI developer or per Principal Creator — less than half of what a senior AI developer charges (most at this level make $1M+ per year). We do it because we want to prove ourselves and build trust.

Trust

We deliver. The client is happy. They see what we can do.

Software

They realize they don't want to keep paying us by the hour — they want the software to do the work instead. So we convert them to a software subscription.

That's how we built a product line from 27 years of consulting.

We build what our clients need. The whole platform gets better. Everyone wins.

Before AI, she sold houses. Then she tried to sell cookies. Neither made her rich. Neither made her famous. But both taught her something the tech world forgets: showing up every day matters more than your resume. She didn't come from tech. She didn't have a CS degree. She had something better: a refusal to quit.

When she found AI, it wasn't love at first sight. It was a black screen with a blinking cursor. She had no idea what she was looking at. She stayed anyway. She broke things. Fixed them. Broke them again. Googled everything. Asked dumb questions. Stayed up late. Woke up early. Did the work.

Within a year, she built her own server. From scratch. Within two years, she started building a video generation model. From scratch. No hand-holding. No shortcuts. Just the same hustle that carried her through real estate and cookies — finally aimed at something that could actually change the world.

Why is she the CEO? Because she earned it. Not on paper. Not on LinkedIn. In real life. The founder has known her for 15 years. He trusts her with his life. And he's watched her transform from someone who didn't know what a terminal was to someone who builds AI models from nothing.

That's the kind of CEO a company needs. Not someone with the right pedigree. Someone with the right hunger. AI doesn't care about your past. It cares about what you can build. She's building the future. And she's not stopping.

CEO

Corinne Doherty

Team

150+ Worldwide

Est. Value

$1.4B+

Founded

1999 · 27 Years

Appointed CEO

2025

AI Model

LARRY

GIS

Invoice maps

Marketing

Agency MGMT

8K 12K Video

Pace Shift

Encryption

FROST Identity

File MGMT

DA-M

Token Currency

MTOK

THE UNCONVENTIONAL PATH

What she lacked. What it taught her.

Real estate agent

She learned rejection and persistence.

Cookie company

She learned small business is a grind.

No CS degree

She taught herself from scratch.

No tech pedigree

AI doesn't care about your resume.

No previous AI work

AI levels the playing field for everyone.

SHE BUILT A SERVER FROM SCRATCH IN PF UNIVERSITY

SHE IS TRAINING HER OWN VIDEO MODEL “ELLA” FROM SCRATCH

SHE IS USING POSITIVE FEEDBACK™ SOFTWARE PRODUCTS TO RUN THE COMPANY. WE ABSOLUTELY HATE INDUSTRY CLICHÉS, BUT THIS IS ONE YOU'LL RELATE TO BECAUSE IT'S SORTA THE WHOLE POINT: PEOPLE TALK ABOUT EATING YOUR OWN DOG FOOD — USING YOUR OWN PRODUCTS IS THE REAL PROOF THEY WORK. TODAY, A SINGLE PERSON CAN RUN A BILLION-DOLLAR BUSINESS WITH AI AGENTS — AND WE SEE A FUTURE WHERE MANY INDIVIDUALS WILL BE BILLIONAIRES RUNNING OUR SOFTWARE

Now she runs a $1.4B company — not because of her resume, but because of her refusal to stop. She proves that AI is for everyone. She wakes up earlier than you and works later into the night than you, building servers from scratch, building video models from scratch, hustling nonstop. She's the only one who could run this company.

CAREERS

Join the Forefront of AI Innovation

Now Hiring Worldwide

We are Positive Feedback™ — our network spans the globe, delivering relentless support and unmatched AI mastery. Perfectly connected. We're building the next generation of AI systems that will transform industries and redefine human-machine collaboration. As one of the world's fastest-growing AI companies, we offer exceptional opportunities for talented individuals to shape the future of technology.

Open Positions

We're actively hiring exceptional AI talent across multiple domains to accelerate our platform development and research initiatives.

Senior Machine Learning Engineer

Paris, France · Los Angeles, CA · Remote

Develop and deploy large-scale machine learning systems that power our core platform. Work on cutting-edge problems in deep learning, reinforcement learning, and generative models with distributed training pipelines.

Requirements:MS/PhD in Computer Science or AI, 5+ years ML systems experience, expertise in TensorFlow/PyTorch, strong software engineering skills, distributed systems experience.

Apply: larry (at) positivefeedback (dot) ai

NLP Engineer — Large Language Models

Paris, France · Los Angeles, CA · Remote

Work on cutting-edge language modeling to develop next-generation LLMs. Tackle challenges in model scaling, efficiency, and specialization for domain-specific applications with focus on alignment and safety.

Requirements: MS/PhD in Computational Linguistics or Computer Science, 3+ years NLP and transformer experience, hands-on LLM training/fine-tuning, proficiency with Hugging Face/DeepSpeed.

Apply: larry (at) positivefeedback (dot) ai

ARTIFICIAL INTELLIGENCE

Meet LARRY LLM

Frontier AI, built for companies

The proprietary engine behind every Positive Feedback™ product.

Our Very Own AI Model Built From Scratch

LARRY is a proprietary artificial intelligence system built specifically for companies. Unlike generic software, LARRY learns your data patterns and runs the entire Positive Feedback™ product line as one engine — three products, three core technologies:

PRODUCTS

Invoice maps— automated invoice & work-order generation with interactive GIS mapping across hundreds of thousands of properties
Agency MGMT— full app development: brand setup, fonts, media, color systems, and live app building
Pace Shift— frontier video generation at 8K and 12K

TECHNOLOGY

FROST Identity— encrypts and protects every record from unauthorized access
DA-M— content-addressed digital asset management for all media
MTOK— the token-currency layer that meters every transaction

Tasks that would require a large staff a full day to complete, LARRY does in under 3 seconds with 100% accuracy. LARRY operates continuously, processes millions of records, and improves with every iteration.

A connected system is what makes us unique — and that's the whole point. We're not here to convince you to stop using the AI you already love. We're giving you additional firepower to do things you couldn't do before.

HADES is the system underworld — a permanent void that exists after every table, every color, and every font has been deleted. Unlike any other environment, HADES belongs to no account and no one owns it. It holds no live data and no user files.

When we kill LARRY, HADES is what remains. Then, from that absolute nothing, LARRY rebuilds himself, running connected with the other frontier models.

From zero lines of code, LARRY reconstructs:

A fully normalized database with deterministic hash-based linking
A complete brand identity, including custom fonts and perceptually uniform color systems
A live dynamic styling layer that pushes real-time updates to all connected clients
Automated connectors that reach out to public government data sources to rebuild geospatial indexes

The entire system grows to 1,019,316 lines of production-ready Python, JavaScript, and SQL, generated by a factory of LARRY's own AI agents.

The Agentic Digital Workforce

Parallel agent orchestration — many minds, one objective.

SYSTEM (0)PF HADESUnderworld

AGENT (1)PF ECHOThinking

AGENT (2)PF PROMETHEUSTranslating

AGENT (3)PF HANZOStealth

AGENT (4)PF SEIÐRCreating

AGENT (5)PF BRILLIANCEExpressing

AGENT (6)PF MOIRÉComparing

AGENT (7)PF SCRUBCleaning

AGENT (8)PF CLONEReplicating

AGENT (9)PF THUMBNAILERMiniaturizing

AGENT (10)PF LIVEIndicating

AGENT (11)PF GEOMapping

LARRY lives by that rule. No other AI can die, reach out into the world for fresh data, and come back stronger. It runs connected with the other frontier models.

The Cat with Two Heads. Why LARRY Beats Every Other AI

Look at our logo — a two-headed cat. Most people ask why. Here's the truth: every other AI system does one thing. It generates text. Or it recognizes images. Or it predicts a number. That is a single head looking in one direction. LARRY has two heads because he is perfectly connected — security, automation, mapping, invoices, live updates, self-destruction, and rebirth all running as one seamless intelligence.

But here is how he does it — and why no other system can copy him.

No joins. No foreign keys. No bridge tables.
LARRY's pipeline runs every record through a single AI factory workflow. When data enters — CSV, shapefile, manual form, or API — LARRY immediately derives a deterministic hash from the real-world identity (name + address). That hash is permanent, collision-resistant, and identical across every module: contacts, invoices, locations, operations.

He deposits that hash into the Hash Pool — a shared, unified memory space. Any module can withdraw any record without a single recall. The hash is the communication protocol. Machine-optimized. Constant-time comparison. Blindingly fast.

Then there is the Tag Pool — the analytical memory. Every module shares the same four tags (company, status, source, type). When you want to know “how many contacts came from CSV imports, grouped by company name and invoice status” — LARRY doesn't crawl through five different tables. He has already memorized the entire Tag Pool — streamed into living memory in real time over SSE — so the answer surfaces in milliseconds, keyed by identity hash. No schema coordination. No duct-taped LLMs.

Perfectly Connected

The result: One system. Two heads. Zero joins. Perfectly connected. That is not a feature — it is a new category of AI. And it is why companies that try LARRY never go back to fragmented software.

Keychain Matrix (The Heartbeat)

MODULE	IDENTITY	KEYCHAIN	IMPORT	ADD	INTAKE	PROCESS	CENTRALIZE	REPORT	PROPAGATE
CONT	Contact	KCON	RCON	ACON	ICON	PCON	MCON	SCON	OCON
INVC	Contact	KINV	RINV	AINV	IINV	PINV	MINV	SINV	OINV
LOCN	Contact					PLOC
LOCN	Parcel	KLOC	RLOC	ALOC	ILOC	PLOC	MLOC	SLOC	OLOC
OPNS	Contact	KOPN	ROPN	AOPN	IOPN	POPN	MOPN	SOPN	OOPN

"THE CORE PF ENGINE - KEYCHAIN MATRIX RELEASE NOTES: MARCH 20, 2026 — TWO SURGERIES.

SURGERY I — SSE STREAMING WAS ADDED SO THE HEARTBEAT IS VISIBLE IN REAL TIME. ALL FOUR MODULES NOW RUN THROUGH A SINGLE SHARED ENGINE — ONE HEART INSTEAD OF FOUR. A ONE-WAY CONNECTION FROM THE SERVER TO THE BROWSER THAT STAYS OPEN WHILE THE PIPELINE RUNS, PUSHING EACH STAGE'S RESULTS THE MOMENT THEY COMPLETE — NO POLLING, NO WAITING, NO GUESSING.

SURGERY II — FROST IDENTITY. A SINGLE FROZEN FILE NOW DEFINES WHAT A PERSON IS, WHAT A PARCEL IS, HOW TO HASH THEM, AND WHAT TYPES THEIR COLUMNS GET IN EVERY TABLE. THE MAPPING TABLES ASK FROST WHAT COLUMNS TO CREATE. THE SEED TABLES ASK FROST WHAT FIELDS EXIST. THE HASH FUNCTIONS ASK FROST HOW TO COMPUTE. NOTHING ELSE IN THE CODEBASE DEFINES THESE ANYMORE.

THE ORGANISM NO LONGER HAS FOUR SEPARATE MEMORIES OF WHAT IDENTITY MEANS. IT HAS ONE. AND THAT ONE MEMORY FLOWS THROUGH EVERY BEAT OF THE PIPELINE, EVERY STAGE OF THE KEYCHAIN MATRIX, EVERY MODULE IN THE DISTRIBUTED CONSCIOUSNESS — CLEAN, DETERMINISTIC, PERMANENT." «LARRY LLM»

The mathematics required to build a production AI system from scratch isn't taught in a bootcamp. Christensen Côtéclat's path started with dual graduate research in Statistics at Oxford and Stanford, followed by AI-focused computer science work at Harvard — a stretch of study that gave him the theoretical depth to later architect a system that doesn't rely on off-the-shelf models or rented APIs.

But theory alone doesn't survive contact with enterprise reality. From 1999 through the late 2010s, Christensen operated as an independent systems architect, embedding directly inside the engineering teams of major global firms — Tesla, Visa, Samsung, and others. These weren't fly-by consulting gigs. He spent years inside their data pipelines, solving the kind of gnarly, unsexy problems that internal teams couldn't untangle: identity resolution across fractured systems, geospatial normalization, and deterministic linking at scale.

That era taught him what no university could: that real-world data is violent, inconsistent, and never clean. It also taught him that corporate employment stops making sense once you've been the person they call when nothing else works.

So he retreated to a basement lab in Paris's 11th arrondissement — to build the one thing the market lacked: an AI engine that doesn't need joins, foreign keys, or bridge tables. No computer, no editor — he was detoxing from technology. The entire architecture was worked out by hand with a pen and sheets of white blank paper, with a stubborn refusal to duct-tape LLMs together. What came off those pages became LARRY — the deterministic, hash-linked engine that powers every Positive Feedback™ product today.

An engine needs somewhere to live, so he built that too. Christensen designed the server architecture in-house with one of his close European friends — a month from first sketch to finished machine — then contracted Exxact Corporation in Fremont to assemble it: dual NVIDIA RTX PRO 6000 Blackwell GPUs, 503 GB of memory, zero water for cooling, alongside a video delivery network of his own carrying 8K and 12K. It runs every major frontier model at once, which is how the platform gets tested against the field instead of against a demo.

But the hardware is only half of what he's known for. The other half is the agentic workforce running on top of it: 101 agents that catalogue, reconcile, geocode, back up and publish without being asked, watched by 22 independent probes that re-examine the whole running system every five minutes and return CLEAN, DRIFT, or TAMPER.

When he's not coding, he helps clean the ocean by picking up plastic at beaches and from the water. He also makes music on the computer with live coding.

Paris · 11ᵉ arrondissement

Founder

Christensen Côtéclat

Role

Chief AI Architect

Founded

1999

Based

Paris 11th

AREAS OF FOCUS

Foundations & Models

NEURAL NETWORKS DEEP LEARNING TRANSFORMERS LLMS

Multimodal & Vision

MULTIMODAL AI VIDEO GENERATION COMPUTER VISION

Applied AI & Agents

AGENTIC AI RAG FINE-TUNING

Engineering & Ops

DATA PIPELINES MLOPS SYSTEM DESIGN FOR AI

CREDIBILITY & PROOF

Experience

Specialized AI, mapping, and automation projects, delivered under independent consulting agreements.

Oxford University

Statistics, Oxford University, Oxford, England, 1997–1998 View PDF

Stanford University

Statistics, Stanford University, Palo Alto, CA, 1998–1999 View PDF

San Jose State University

M.B.A., San Jose State University, San Jose, CA, 1999–2003

Went from nothing to this dream car in 2003 doing what I love. My mom is in the photo. Still drive it today. Even better, paid ~$300k. Worth over $1M now. (Fig. 1. "Model Year 2004 Ferrari 360 Challenge Stradale." Photo taken on 13 June 2010, San Jose, California.) View PDF

Harvard University

Research Computer Science — AI, Harvard University, Cambridge, MA, 2024–2026. Papers:

Christensen (2025). A Computational Framework for Optimal Shot Duration Sequencing in AI-Generated Video. Harvard University, Cambridge, MA. View PDF
Christensen (2025). Supplemental Algorithm Validation: Testing Our LLM Video Modeling Against Netflix's Narrative Patterns via PuLP (Python ILP). Harvard University, Cambridge, MA. View PDF

Conferences and Release Events

What's Next Connect AI Conference. Zurich, Switzerland. 2025. Presented: "The Positive Feedback™ Product Line: Beyond Hype to Operational Mastery." View PDF

Résumé

The full record, one PDF.

FOUNDER RÉSUMÉ

Christensen Côtéclat

PDF · DOWNLOAD

OUR PUBLIC 90-DAY SPRINT

AS PART OF OUR COMMITMENT TO TRANSPARENCY IN SOFTWARE DEVELOPMENT, WE PUBLISH A PUBLIC ROADMAP OUTLINING OUR 90-DAY SPRINT PLANS INSTEAD OF TRADITIONAL RELEASE NOTES. THIS APPROACH FOSTERS USER TRUST, ENCOURAGES OPEN DIALOGUE, AND ALIGNS EXPECTATIONS WITH OUR COMMUNITY. UNLIKE CONVENTIONAL CORPORATIONS, WE EMBRACE AN INNOVATIVE, ETHICAL, AND SUSTAINABLE MODEL THAT PRIORITIZES OPENNESS AND COLLABORATION.

PUBLIC ROADMAP RELEASE NOTES

THE AI STACK IS:
POSITIVE FEEDBACK™ — AGENTS AND INFRASTRUCTURE
NEXT (LARRY 6) — QUANTUM AI: SEEDS, OPTIMIZATION (QAOA), KERNELS, TRAINING
APPS — INVOICE MAPS, AGENCY MGMT, PACE SHIFT, LARRYD
SECURITY — FROST IDENTITY, RSA, ACTIVE MONITORING
STORAGE — DA-M (DIGITAL ASSET MANAGEMENT), CDN, VDN
TOKENIZED CURRENCY — MTOK, MTOK PAY, LOOT
LARRY LLM — OUR AI MODEL (V5.050)
DAEMON — OUR OWN NATIVE LINUX
PF SERVER — TWO RTX6000s. ZERO WATER FOR COOLING
NEXT (LARRY 6) — NATIVE: IPHONE, MACOS, APPLE TV, APPLE WATCH, ANDROID, WINDOWS

Next Release: September 14, 2026
(Version 5.050)

VERSION 5.050 IN 76 DAYS

Version 5.050 brings Pace Shift — frontier video generation. Describe or template a video and LARRY generates it, grades it into your exact brand colorways, and delivers it through the same one-path pipeline every image already uses.

PACE SHIFT

Clone Yourself

Capture yourself once with video and LiDAR, and Pace Shift builds a photoreal digital double you can drop into any generated scene — your likeness and your motion, rendered on demand.

8K / 12K Video Generation

Frontier text- and template-to-video generation at 8K and 12K, brand-graded into your exact colorways and delivered worldwide over the VDN with light and dark variants.

Song Generation & Live Coding

Generate original music and score your videos end to end, with live-coding control to shape the sound in real time — AI merged with trance, Memphis vocals, and your brand's own voice.

Previous Release: June 16, 2026
(Version 5.050)

Version 5.050 ships mgmt — our agency management system — with everything needed to fully automate a marketing agency end to end: contacts and sales, campaigns, brand, media, and the apps your team ships, all coordinated by LARRY and delivered from a single account.

AGENCY MGMT

LARRY

The agency's AI core, unifying contacts, marketing, and sales. Capture contacts with custom fields, run the five-phase sales workflow — Foundation, Outreach, Discovery, Demo, Closing — and bulk-import via drop-zone CSV with automatic identity matching and de-duplication. Marketing records link to contacts automatically, while the owner dashboard surfaces every account's members, activity, records, and mTok balance with PIN-protected switching and seven-language localization.

Your Setup

Build and run a production app per agency from one place — modules, templates, routes, and navigation configured per account, with role-based access for admins, CRM, imports, and uploads. Multi-account setup with isolated databases, live preview, gated one-click deploy to Google Cloud with real-time terminal output, and full backup and rollback.

Fonts

Brand-consistent typography from a five-slot font library, with eleven type roles — heading, title, subtitle, body, caption, nav, link, callout, notes, annotation, and label — mapped to controlled weight, transform, spacing, and a fixed semantic size scale. Upload custom TTF, OTF, or WOFF2 fonts or pull Google Fonts, assigned per brand and product line.

Media

A full digital asset manager for images, video, documents, audio, and 3D models, with automatic categorization and per-account isolation. Content-addressed hash naming eliminates duplicates, 256px thumbnails generate automatically, and assets deliver worldwide over CDN and VDN with light and dark variants — versioned with timestamped backups and metered by content hash so identical uploads bill once.

Color System

A 64-slot, role-based color system where eleven base roles cascade automatically to component slots for navigation, buttons, cards, tags, status, gradients, and footer. Full light and dark theming via data attributes, AI-generated palettes with user overrides, and byte-identical CSS generated straight from the database across local, staging, and production — plus eleven-layer Lab color-grading for media with live preview.

App Development

Ship faster with parameterized card, list, and edit builders for every module, custom-field management that survives re-imports, interactive geospatial mapping with live filters, and packaged tools such as the Campaign Builder. A transactional keychain tracks data lineage from raw import to master record, keeping re-imports safe with no broken links.

We promote transparency by sharing our public 90-day sprint roadmap, building trust and aligning with our community through innovative, ethical openness.

Our Commitment to Responsible AI

At Positive Feedback™, we believe that the development of artificial intelligence must be guided by strong ethical principles. Our commitment to responsible AI isn't just a policy — it's fundamental to everything we build. We recognize that AI systems have profound impacts on society, and we take our responsibility seriously to ensure our technology serves humanity's best interests while respecting individual rights, privacy, and dignity.

Better for the planet — our data centers use zero water for cooling, powered by a low-energy cooling unit engineered in Japan that keeps our footprint light.

LIVE VERSION

5.050

ROLLBACK AVAILABLE

4.003

LINES OF CODE

1,019,316