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Your Computer Becomes the Agent — Perplexity Brings Personal Computer to Windows as the Desktop AI Race Accelerates Your Computer Becomes the Agent — Perplexity Brings Personal Computer to Windows as the Desktop AI Race Accelerates
PF TOP STORY
LIVEYour Computer Becomes the Agent — Perplexity Brings Personal Computer to Windows as the Desktop AI Race Accelerates
Perplexity's agentic Personal Computer lands on Windows, Microsoft answers with a security-first AI suite, and Google retires its 25-year-old search box — the AI desktop wars arrived all at once this week.
July 28, 2026 · 4 min
L.A.R.R.Y. version 4.003 released with improved pipeline automation L.A.R.R.Y. version 4.003 released with improved pipeline automation
NEWS STORY
L.A.R.R.Y. version 4.003 released with improved pipeline automation
March 2026 · 6 min
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Invoice Maps expands operations module for enterprise clients Invoice Maps expands operations module for enterprise clients
NEWS STORY
Invoice Maps expands operations module for enterprise clients
March 2026 · 6 min
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Positive Feedback expands to serve new enterprise clients across North America Positive Feedback expands to serve new enterprise clients across North America
NEWS STORY
Positive Feedback expands to serve new enterprise clients across North America
February 2026 · 5 min
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Frost Security completes third-party audit with zero critical findings Frost Security completes third-party audit with zero critical findings
NEWS STORY
Frost Security completes third-party audit with zero critical findings
January 2026 · 5 min
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Positive Feedback introduces 500-field custom schema for enterprise applications Positive Feedback introduces 500-field custom schema for enterprise applications
NEWS STORY
Positive Feedback introduces 500-field custom schema for enterprise applications
January 2026 · 5 min
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Positive Feedback establishes Tokyo office for Asia-Pacific operations Positive Feedback establishes Tokyo office for Asia-Pacific operations
NEWS STORY
Positive Feedback establishes Tokyo office for Asia-Pacific operations
December 2025 · 5 min
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PF Prometheus translation engine adds Japanese and Korean language support PF Prometheus translation engine adds Japanese and Korean language support
NEWS STORY
PF Prometheus translation engine adds Japanese and Korean language support
December 2025 · 5 min
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Invoice Maps launches interactive GIS mapping for location data Invoice Maps launches interactive GIS mapping for location data
NEWS STORY
Invoice Maps launches interactive GIS mapping for location data
November 2025 · 5 min
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Frost introduces role-based member access control across all modules Frost introduces role-based member access control across all modules
NEWS STORY
Frost introduces role-based member access control across all modules
November 2025 · 5 min
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Positive Feedback announces token-based billing model for all platform applications Positive Feedback announces token-based billing model for all platform applications
NEWS STORY
Positive Feedback announces token-based billing model for all platform applications
October 2025 · 6 min
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L.A.R.R.Y. version 4.0 introduces unified pipeline architecture L.A.R.R.Y. version 4.0 introduces unified pipeline architecture
NEWS STORY
L.A.R.R.Y. version 4.0 introduces unified pipeline architecture
October 2025 · 7 min
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DA-M digital asset management system enters production DA-M digital asset management system enters production
NEWS STORY
DA-M digital asset management system enters production
September 2025 · 5 min
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Positive Feedback completes separation of engine and application architectures Positive Feedback completes separation of engine and application architectures
NEWS STORY
Positive Feedback completes separation of engine and application architectures
September 2025 · 6 min
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Invoice Maps adopted by three new enterprise clients across North America Invoice Maps adopted by three new enterprise clients across North America
NEWS STORY
Invoice Maps adopted by three new enterprise clients across North America
August 2025 · 5 min
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Keychain and hash pool architecture enables cross-module data linking Keychain and hash pool architecture enables cross-module data linking
NEWS STORY
Keychain and hash pool architecture enables cross-module data linking
August 2025 · 5 min
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Positive Feedback growing faster than ever from its Paris home Positive Feedback growing faster than ever from its Paris home
NEWS STORY
Positive Feedback growing faster than ever from its Paris home
July 2025 · 6 min
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That concludes our coverage of the week's most significant industry speculation. While the broader AI sector continues to navigate regulatory uncertainty and unconfirmed product timelines, Positive Feedback remains focused on its core mission: delivering proven, production-grade AI infrastructure to enterprise clients worldwide. With 27 years of continuous operation, zero-water data centers, and a client roster that includes NASA, Tesla, and Costco, our commitment to innovation is matched only by our commitment to stability. The speculation ends here. The work continues below.
GENUINE ENGINEERING SOPHISTICATION
58 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:
Invoicing & GIS mappingEnterprise billing with geospatial intelligence. Bill by location. Bill by territory. Bill by usage.
Marketing Automationcampaign orchestration
8K/12K Video Generationhigh-end media production
Security & encryptionenterprise-grade protection
Digital asset managementmedia storage and organization
Token currencyA proprietary payment layer for AI-native commerce. Transact. Reward. Monetize.
Product Line SupportOngoing evolution of your AI infrastructure. We build it. We maintain it. We keep it ahead.

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.
THE TEST DRIVE
TRY IT.
Free 24-hour access to the full LARRY LLM. Not a stripped-down sandbox — the real thing.

Contact us and we hand you the whole platform for a full day. Every module, every agent, live data flows — test-drive the full version and see for yourself what it does to a business.

And here's the part nobody else does: no username. No password. Where other companies make you type credentials, we send you one secure link with your access embedded inside — cryptographically signed, fully automated, one click and you're in. It's the same technology behind our mTok quick-payment links. And it locks itself when your 24 hours are up.

One click. Full platform. Zero setup.
LARRY LLM — the full platform, live
FIND US IN THE APP STORE
Your whole platform, in your pocket
Download the free Positive Feedback app and your files, agents, invoices, and dashboards sync to your iPhone the moment you sign in. Run the business from anywhere.
Free download. No in‑app purchases.
Download on theApp Store
Positive Feedback app on iPhone showing positivefeedback.ai
Artificial intelligence software
That makes you feel
Like a ninja
LARRY — the two-headed cat
LARRY LLM (Version 4.003)
Our very own AI model (since 1999)
The brains behind the ninja feeling
Project & Tech Consulting Clients
Over 27 years, our founder has shipped some genuinely amazing AI, mapping, and automation projects for these industry leaders — and yes, a few real heavy hitters made the list 😎 — all under independent consulting agreements.
Project partners and consulting clients Project partners and consulting clients
LOGOS ARE NICE. OUTCOMES ARE BETTER
Two swords? You only need one. Watch the other disappear—like your business problems. Book a free 15 min live demo with an AI expert.
Tuesday 2pm EST — next available. Claim it.
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.
§ 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 AI is an enterprise AI platform with a distinctive voice and a deep technical background. We're different. We're real. And we're not here to impress you with marketing.
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 — 5.9T total parameters across the stack, 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, and marketing automation for the Fortune 500 — including NASA, Tesla, and Costco. 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, and Fortune 500 trust put us miles ahead. The hype brought the world to us. The infrastructure kept them here. Now we're accelerating faster than ever.

At Positive feedback the name reflects a simple truth: in AI, as in life, it's always better to focus on the positive. Just like training a dog, you get better results with a treat than with a kick. We reward AI for getting it right, so it learns to be more helpful and accurate—without the confusion that punishment creates. Focus on the good, and you get more of it.

Business card — front
Download card front
Business card — back
Download card back
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
└ Nvidia

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 AI) 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 AI 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 (Product Line) builds ethical, abundant frontier AI — accessible to companies of every size, led by a 150+ team across the United States and France, serving leaders like NASA and Costco since 1999. 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
FROST Security (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 | frostsecurity.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
Referring a project? We work with sales and software vendors on a 10% Success Fee.
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.

THE PATH FROM CONSULTING TO SOFTWARE
Most people don't know how consulting turns into software. Here's how it works for us.
1
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.
2
Trust
We deliver. The client is happy. They see what we can do.
3
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.

MEET THE CEO
Corinne Doherty is the Chief Executive Officer of Positive Feedback AI, focused on accessible, ethical AI development, and leads a team of over 150 people across the U.S. and France.
CHIEF EXECUTIVE OFFICER
Corinne Doherty
Championing Female Leadership in AI
Meet the executive driving Positive feedback's mission to make frontier AI ethical, abundant, and accessible to organizations of every size — leading a 150+ team across the United States and France.

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 Security
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 DEVELOPING 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

LARRY — the two-headed cat
ARTIFICIAL INTELLIGENCE
Meet LARRY LLM
Frontier AI, built for companies
The proprietary engine behind every Positive feedback product.
LARRY — the two-headed cat
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 Security— 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.

Ranked 4th in Our Internal Intelligence Benchmark

We ran a benchmark test with LARRY fully loaded, connected in parallel with DeepSeek (full), Qwen (full), and the latest Claude API. The suite scores the platform's real production workloads — full-system rebuild from zero, million-record normalization, geospatial indexing, and live styling. The combined system scored 4th overall in our internal benchmark suite.

Not LARRY alone. The ensemble. Working together. Perfectly connected.

Internal methodology, not an independent leaderboard — ask us and we'll walk you through the task list and any full run.

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 — and in doing so, running connected with the other frontier models, that combined system is what reaches 4th in the benchmark above.

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 over 1,000,000 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. Connected with the other frontier models, that resilience is what puts the system at 4th.

LARRY two-headed cat mark
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.

LARRY two-headed cat mark
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.

LARRY - THE CORE PF ENGINE
Learning Algorithm for Routine and Residence Yields
The Heartbeat Behind Every Module
Keychain Matrix (The Heartbeat) 1.5 1.0 0.5 0 LEAD II 25mm/s 10mm/mV FILTER 0.05-150Hz 72 BPM SYNC 1 SEC 1.12 1.08 1.14 1.10 1.86 1.09 1.11 1.07 0.0s 0.2s 0.4s 0.6s P R S T NORMAL SINUS RHYTHM ID: KEYCHAIN-MATRIX-001
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»
MEET THE FOUNDER
Christensen Côtéclat is an artificial intelligence developer and founder of Positive Feedback AI, known for creating custom, proprietary AI models from scratch.
FOUNDER & CHIEF AI ARCHITECT
Christensen Côtéclat
A Viking from Copenhagen, coding in Paris
The architect behind Positive feedback — building at the intersection of code, consciousness, and data since 1999, with dual mastery from Oxford, Stanford, and Harvard.

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. Armed with a code editor, a live-coding rig for trance music, and a stubborn refusal to duct-tape LLMs together, he spent years composing what became LARRY — the deterministic, hash-linked engine that powers every Positive Feedback product today.

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
Multimodal & Vision
Applied AI & Agents
Engineering & Ops
CREDIBILITY & PROOF
Experience
Specialized AI, mapping, and automation projects, delivered under independent consulting agreements.
1
Oxford University
Statistics, Oxford University, Oxford, England, 1997–1998 View PDF
2
Stanford University
Statistics, Stanford University, Palo Alto, CA, 1998–1999 View PDF
3
San Jose State University
M.B.A., San Jose State University, San Jose, CA, 1999–2003
  1. 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
4
Harvard University
Research Computer Science — AI, Harvard University, Cambridge, MA, 2024–2026. Author of publications:
  1. Christensen (2025). A Computational Framework for Optimal Shot Duration Sequencing in AI-Generated Video. Harvard University, Cambridge, MA. View PDF
  2. 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
5
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
6
Résumé
The full record, one PDF — education, publications, the client timeline, and the platform by the numbers.
Résumé — Christensen Côtéclat
FOUNDER RÉSUMÉ
Christensen Côtéclat
PDF · DOWNLOAD
Talk to sales | support
LARRY Client Care is available Monday to Sunday, 7 AM to 10 PM ET to answer all your questions. Please email for consultations, support inquiries, or partnerships.
Phone +1 (707) 569-6528
larry (at) positivefeedback (dot) ai
PF University
Sign up for our next PF University session — hands-on training to build, train, and ship your own frontier AI models with the team behind LARRY.
Responsible Innovation
Our commitment to ethical AI development ensures sustainable, transparent, and socially responsible artificial intelligence solutions.
HANZO SECURE ENVIRONMENT — PUT YOUR OPENCLAW IN A LITTLE BOX
Perfectly isolated
Everyone runs AI agents. HANZO is our air-gapped environment for OpenClaw and agent projects — secure, stable, and under control. We can help you run yours the same way
LARRY — the two-headed cat Mxc Stxdxx
frontier data model for all of your AI agents
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 VALUABLE FEEDBACK, 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:
LARRY LLM — THE AI MODEL (SINCE 1999, V4.003)
PF — THE CORE PF ENGINE, API
MGMT — AGENCY MGMT (BRAND WORKSPACE)
FROST — RSA, ACTIVE MONITORING, REPORTS
DA-M — DIGITAL ASSET MANAGEMENT (FILES)
MTOK — TOKENIZED CURRENCY
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
1
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.
2
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.
3
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 4.003)
Version 4.003 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
1
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.
2
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.
3
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.
4
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.
5
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.
6
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
4.003
ROLLBACK AVAILABLE
3.104
LINES OF CODE
1,019,316
INFRASTRUCTURE
Our Own Frontier Servers
Built to Run Every Frontier Model at Once
The system runs all major frontier models simultaneously — DeepSeek, Claude, Qwen, and LARRY — for continuous testing and validation. We also operate our own video delivery network supporting 8K and 12K streaming.
We designed the server architecture in-house and contracted Exxact Corporation (Fremont, CA) to build it.

LARRY, the Core Engine — WID (PORT) — the full engine for local development with all blueprints loaded.

CPU
Threadripper PRO 7955WX
STORAGE
20G/49G 40%
RAM
503 GB
NVIDIA GPU 1
RTX 6000 PRO
NVIDIA GPU 2
RTX 6000 PRO
ARCHITECTURE
Blackwell
VRAM
196GB GDDR7
CUDA
13.1
VERIFIED HARDWARE

CPU — AMD Ryzen Threadripper PRO 7955WX: 16 cores, 32 threads, 4.5 GHz base / up to 5.3 GHz boost, 64 MB L3 cache, 350W TDP. AMD official specifications.

GPU — 2× NVIDIA RTX PRO 6000 Blackwell (Server Edition): 96 GB GDDR7 with ECC per card, 192 GB pooled VRAM. NVIDIA Server Edition · RTX PRO 6000 family.