Our story
leaders in technical and operational experience
Every 'AI Automation' agency is selling the same thing: fewer people, lower costs, faster output. It's the golden ticket of 2026; and it's a trap.
Here's what happens when everyone takes it. Every company shrinks to a CEO and a skeleton crew. Every workflow runs on the same five models. Every output looks interchangeable. The snake eats its tail.
What's left? Relationships. Experience. Taste. The human texture that made someone choose you in the first place.
That's what we protect.
How Harbinger started
In 2024, I was head of QA and evaluations at one of the first companies building fully autonomous AI agents. I also ran customer support. And led early sales. At the same time.
I was on every client call, inside every broken workflow, testing every model the day it shipped, while talking to enterprise companies and consumers alike. I watched what automation actually did to businesses -the wins, the quiet disasters, the places where a human hand was the only thing keeping the whole thing from collapsing.
I learned one thing over and over - the teams that treated AI as a replacement lost. The teams that treated it as leverage and doubled down on amplifying their employees, won.
Harbinger is built on first hand experience; from being one of the first 10,000 people to test Chat GPT 1 and doing evaluations for early versions of Midjourney, to assisting in the development of leading AI agent benchmarks used by Open AI and Anthropic.
Why we believe humanity is irreplaceable
We've been here before.
In 1870, half of Americans worked on farms. Then came the mule, the tractor, the combine. The work compressed. The people didn't disappear — they moved into roles nobody could have named a generation earlier. Same with blacksmithing. Same with the switchboard. Same with the typing pool.
Automation has never ended labor. It has only ever redefined it. There's always a short, painful window where nobody knows what the new roles look like — and then the new roles arrive, and they're bigger than the old ones.
The argument against the pattern goes like this: "This time is different. AI can automate nearly all human work." We disagree. AI compresses execution. That's real. But when execution becomes a commodity, advantage moves somewhere else — to customer experience, to judgment, to trust, to taste, to the relationships you have with the people who pay you.
You can't commoditize that. You can only amplify it.
Our story
leaders in technical and operational experience
Every 'AI Automation' agency is selling the same thing: fewer people, lower costs, faster output. It's the golden ticket of 2026; and it's a trap.
Here's what happens when everyone takes it. Every company shrinks to a CEO and a skeleton crew. Every workflow runs on the same five models. Every output looks interchangeable. The snake eats its tail.
What's left? Relationships. Experience. Taste. The human texture that made someone choose you in the first place.
That's what we protect.
How Harbinger started
In 2024, I was head of QA and evaluations at one of the first companies building fully autonomous AI agents. I also ran customer support. And led early sales. At the same time.
I was on every client call, inside every broken workflow, testing every model the day it shipped, while talking to enterprise companies and consumers alike. I watched what automation actually did to businesses -the wins, the quiet disasters, the places where a human hand was the only thing keeping the whole thing from collapsing.
I learned one thing over and over - the teams that treated AI as a replacement lost. The teams that treated it as leverage and doubled down on amplifying their employees, won.
Harbinger is built on first hand experience; from being one of the first 10,000 people to test Chat GPT 1 and doing evaluations for early versions of Midjourney, to assisting in the development of leading AI agent benchmarks used by Open AI and Anthropic.
Why we believe humanity is irreplaceable
We've been here before.
In 1870, half of Americans worked on farms. Then came the mule, the tractor, the combine. The work compressed. The people didn't disappear — they moved into roles nobody could have named a generation earlier. Same with blacksmithing. Same with the switchboard. Same with the typing pool.
Automation has never ended labor. It has only ever redefined it. There's always a short, painful window where nobody knows what the new roles look like — and then the new roles arrive, and they're bigger than the old ones.
The argument against the pattern goes like this: "This time is different. AI can automate nearly all human work." We disagree. AI compresses execution. That's real. But when execution becomes a commodity, advantage moves somewhere else — to customer experience, to judgment, to trust, to taste, to the relationships you have with the people who pay you.
You can't commoditize that. You can only amplify it.
Our story
leaders in technical and operational experience
Every 'AI Automation' agency is selling the same thing: fewer people, lower costs, faster output. It's the golden ticket of 2026; and it's a trap.
Here's what happens when everyone takes it. Every company shrinks to a CEO and a skeleton crew. Every workflow runs on the same five models. Every output looks interchangeable. The snake eats its tail.
What's left? Relationships. Experience. Taste. The human texture that made someone choose you in the first place.
That's what we protect.
How Harbinger started
In 2024, I was head of QA and evaluations at one of the first companies building fully autonomous AI agents. I also ran customer support. And led early sales. At the same time.
I was on every client call, inside every broken workflow, testing every model the day it shipped, while talking to enterprise companies and consumers alike. I watched what automation actually did to businesses -the wins, the quiet disasters, the places where a human hand was the only thing keeping the whole thing from collapsing.
I learned one thing over and over - the teams that treated AI as a replacement lost. The teams that treated it as leverage and doubled down on amplifying their employees, won.
Harbinger is built on first hand experience; from being one of the first 10,000 people to test Chat GPT 1 and doing evaluations for early versions of Midjourney, to assisting in the development of leading AI agent benchmarks used by Open AI and Anthropic.
Why we believe humanity is irreplaceable
We've been here before.
In 1870, half of Americans worked on farms. Then came the mule, the tractor, the combine. The work compressed. The people didn't disappear — they moved into roles nobody could have named a generation earlier. Same with blacksmithing. Same with the switchboard. Same with the typing pool.
Automation has never ended labor. It has only ever redefined it. There's always a short, painful window where nobody knows what the new roles look like — and then the new roles arrive, and they're bigger than the old ones.
The argument against the pattern goes like this: "This time is different. AI can automate nearly all human work." We disagree. AI compresses execution. That's real. But when execution becomes a commodity, advantage moves somewhere else — to customer experience, to judgment, to trust, to taste, to the relationships you have with the people who pay you.
You can't commoditize that. You can only amplify it.
Our values
Principles that guide us
Humanity is irreplaceable.
Every automation agency is selling the same thing: fewer people, lower costs, faster output. When every company compresses to a skeleton crew running the same five models, outputs become interchangeable and competitive advantage disappears. What clients are actually paying for — relationships, judgment, taste, the trust built over years of earned reputation — is the part automation can't touch. The companies that pursue replacement secure a shrinking slice of market. The companies that pursue leverage build something nobody can copy.
AI isn't always the right answer.
Before we touch a single workflow, we map it; understand it; and ask whether automation is actually the right answer. Sometimes the workflow needs to be restructured first to make automation viable. Sometimes it's more efficient to leave it alone entirely. And sometimes the most valuable thing we can do is put a human directly in front of the problem — because no automation will outperform genuine face time, a real conversation, or a personal touch at the right moment. The question is never "how much can we automate." It's "what does this workflow actually need." The human experience your customers have is never on the table.
Automation doesn't replace labor; it defines it.
In 1870, half of Americans worked on farms. Then came the mule, the tractor, the combine. The work compressed; the people didn't disappear. They moved into roles nobody could have named a generation earlier. Same with blacksmithing. Same with the switchboard. Automation has never ended labor. It has only ever redefined it. There's always a short, painful window where nobody knows what the new roles look like; and then they arrive, and they're bigger than the old ones.
Our values
Principles that guide us
Humanity is irreplaceable.
Every automation agency is selling the same thing: fewer people, lower costs, faster output. When every company compresses to a skeleton crew running the same five models, outputs become interchangeable and competitive advantage disappears. What clients are actually paying for — relationships, judgment, taste, the trust built over years of earned reputation — is the part automation can't touch. The companies that pursue replacement secure a shrinking slice of market. The companies that pursue leverage build something nobody can copy.
AI isn't always the right answer.
Before we touch a single workflow, we map it; understand it; and ask whether automation is actually the right answer. Sometimes the workflow needs to be restructured first to make automation viable. Sometimes it's more efficient to leave it alone entirely. And sometimes the most valuable thing we can do is put a human directly in front of the problem — because no automation will outperform genuine face time, a real conversation, or a personal touch at the right moment. The question is never "how much can we automate." It's "what does this workflow actually need." The human experience your customers have is never on the table.
Automation doesn't replace labor;
it defines it.
In 1870, half of Americans worked on farms. Then came the mule, the tractor, the combine. The work compressed; the people didn't disappear. They moved into roles nobody could have named a generation earlier. Same with blacksmithing. Same with the switchboard. Automation has never ended labor. It has only ever redefined it. There's always a short, painful window where nobody knows what the new roles look like; and then they arrive, and they're bigger than the old ones.
Our values
Principles that guide us
Humanity is irreplaceable.
Every automation agency is selling the same thing: fewer people, lower costs, faster output. When every company compresses to a skeleton crew running the same five models, outputs become interchangeable and competitive advantage disappears. What clients are actually paying for — relationships, judgment, taste, the trust built over years of earned reputation — is the part automation can't touch. The companies that pursue replacement secure a shrinking slice of market. The companies that pursue leverage build something nobody can copy.
AI isn't always the right answer.
Before we touch a single workflow, we map it; understand it; and ask whether automation is actually the right answer. Sometimes the workflow needs to be restructured first to make automation viable. Sometimes it's more efficient to leave it alone entirely. And sometimes the most valuable thing we can do is put a human directly in front of the problem — because no automation will outperform genuine face time, a real conversation, or a personal touch at the right moment. The question is never "how much can we automate." It's "what does this workflow actually need." The human experience your customers have is never on the table.
Automation doesn't replace labor; it defines it.
In 1870, half of Americans worked on farms. Then came the mule, the tractor, the combine. The work compressed; the people didn't disappear. They moved into roles nobody could have named a generation earlier. Same with blacksmithing. Same with the switchboard. Automation has never ended labor. It has only ever redefined it. There's always a short, painful window where nobody knows what the new roles look like; and then they arrive, and they're bigger than the old ones.
Work with Harbinger
learn How these principles show up in our work
The best way to understand what a Harbinger engagement looks like is a conversation about your specific situation.
Work with Harbinger
learn How these principles show up in our work
The best way to understand what a Harbinger engagement looks like is a conversation about your specific situation.
Work with Harbinger
learn How these principles show up in our work
The best way to understand what a Harbinger engagement looks like is a conversation about your specific situation.
Team
The Harbinger Team
Julian Brooks
Founder / CEO
Julian is a Private AI Strategist who designs automation that amplifies the people running ultra-high-net-worth households. He previously led Customer Support, quality assurance, and early sales at Multion, the company behind the first AI agent with full autonomous browser control.
Chloe Tennison
Executive Assistant
Chloe is the Executive Assistant to Julian Brooks at Harbinger, where she assists in managing Harbinger's day-to-day operations with a focus on discretion and precision.
Team
The Harbinger Team
Julian Brooks
Founder / CEO
Julian is a Private AI Strategist who designs automation that amplifies the people running ultra-high-net-worth households. He previously led Customer Support, quality assurance, and early sales at Multion, the company behind the first AI agent with full autonomous browser control.
Chloe Tennison
Executive Assistant
Chloe is the Executive Assistant to Julian Brooks at Harbinger, where she manages scheduling, client correspondence, and day-to-day operations with a focus on discretion and precision.
Team
The Harbinger Team
Julian Brooks
Founder / CEO
Julian is a Private AI Strategist who designs automation that amplifies the people running ultra-high-net-worth households. He previously led Customer Support, quality assurance, and early sales at Multion, the company behind the first AI agent with full autonomous browser control.
Chloe Tennison
Executive Assistant
Chloe is the Executive Assistant to Julian Brooks at Harbinger, where she manages scheduling, client correspondence, and day-to-day operations with a focus on discretion and precision.
FAQ
What prospective clients ask us most
We’re here for the follow-up questions too—find us on the Contact page.
How do you handle confidentiality?
With the same standard you'd expect from your wealth manager or attorney. We do not publish client names, engagement details, or operational information without explicit written consent. Proof points and case studies used in our materials are anonymized unless a client has specifically agreed otherwise.
What's your pricing model?
Engagements are value-priced based on the complexity and scope of the work, not billed hourly. Payments are tied to defined milestones and documented deliverables. We'll scope pricing during the consultation based on what your operation looks like and what the engagement would involve. We don't publish pricing because every operation is different and a number without context isn't useful to either side.
What does the first engagement typically look like?
It starts with a consultation to determine fit. If we move forward, the first phase is always an Operational Deep Dive; two weeks where we embed in your operation, map workflows, interview team members, and identify where AI and automation will have the most impact. That produces a findings report and prioritized roadmap. From there, we begin building systems based on what the deep dive revealed.
Do you work on-site or remotely?
Primarily work remote but for additional compensation and coverage of travel expenses, the founder Julian Brooks can travel anywhere for up to 2 week periods at a time.
Do I need technical knowledge to work with Harbinger?
No. Part of what Harbinger provides is translating between the technical and the operational. Your team doesn't need to understand how AI models work or what an API is. We handle the technical evaluation, the build, and the maintenance. What we need from your side is access to the people who know how the operation runs and the willingness to give us an honest picture of how things actually work day to day.
Who will we be working with?
Julian Brooks, the founder of Harbinger, will be your main point of contact and the embedded operator. If we do bring on another staff member, they will be strictly isolated to Harbinger's operations or will otherwise sign any relevant documentation.
FAQ
What prospective clients ask us most
We’re here for the follow-up questions too—find us on the Contact page.
How do you handle confidentiality?
With the same standard you'd expect from your wealth manager or attorney. We do not publish client names, engagement details, or operational information without explicit written consent. Proof points and case studies used in our materials are anonymized unless a client has specifically agreed otherwise.
What's your pricing model?
Engagements are value-priced based on the complexity and scope of the work, not billed hourly. Payments are tied to defined milestones and documented deliverables. We'll scope pricing during the consultation based on what your operation looks like and what the engagement would involve. We don't publish pricing because every operation is different and a number without context isn't useful to either side.
What does the first engagement typically look like?
It starts with a consultation to determine fit. If we move forward, the first phase is always an Operational Deep Dive; two weeks where we embed in your operation, map workflows, interview team members, and identify where AI and automation will have the most impact. That produces a findings report and prioritized roadmap. From there, we begin building systems based on what the deep dive revealed.
Do you work on-site or remotely?
Primarily work remote but for additional compensation and coverage of travel expenses, the founder Julian Brooks can travel anywhere for up to 2 week periods at a time.
Do I need technical knowledge to work with Harbinger?
No. Part of what Harbinger provides is translating between the technical and the operational. Your team doesn't need to understand how AI models work or what an API is. We handle the technical evaluation, the build, and the maintenance. What we need from your side is access to the people who know how the operation runs and the willingness to give us an honest picture of how things actually work day to day.
Who will we be working with?
Julian Brooks, the founder of Harbinger, will be your main point of contact and the embedded operator. If we do bring on another staff member, they will be strictly isolated to Harbinger's operations or will otherwise sign any relevant documentation.
FAQ
What prospective clients ask us most
We’re here for the follow-up questions too—find us on the Contact page.
How do you handle confidentiality?
With the same standard you'd expect from your wealth manager or attorney. We do not publish client names, engagement details, or operational information without explicit written consent. Proof points and case studies used in our materials are anonymized unless a client has specifically agreed otherwise.
What's your pricing model?
Engagements are value-priced based on the complexity and scope of the work, not billed hourly. Payments are tied to defined milestones and documented deliverables. We'll scope pricing during the consultation based on what your operation looks like and what the engagement would involve. We don't publish pricing because every operation is different and a number without context isn't useful to either side.
What does the first engagement typically look like?
It starts with a consultation to determine fit. If we move forward, the first phase is always an Operational Deep Dive; two weeks where we embed in your operation, map workflows, interview team members, and identify where AI and automation will have the most impact. That produces a findings report and prioritized roadmap. From there, we begin building systems based on what the deep dive revealed.
Do you work on-site or remotely?
Primarily work remote but for additional compensation and coverage of travel expenses, the founder Julian Brooks can travel anywhere for up to 2 week periods at a time.
Do I need technical knowledge to work with Harbinger?
No. Part of what Harbinger provides is translating between the technical and the operational. Your team doesn't need to understand how AI models work or what an API is. We handle the technical evaluation, the build, and the maintenance. What we need from your side is access to the people who know how the operation runs and the willingness to give us an honest picture of how things actually work day to day.
Who will we be working with?
Julian Brooks, the founder of Harbinger, will be your main point of contact and the embedded operator. If we do bring on another staff member, they will be strictly isolated to Harbinger's operations or will otherwise sign any relevant documentation.
Schedule a confidential consultation