Pivot owners: The New Era

Published: November 13, 2026

Antano Solar John is the creator and developer of the most advanced technologies to design and fast-track personal evolution and an investor in startups that have access to cutting-edge solutions for personal excellence.

Software used to scale processes. Now it scales culture. And as AI reshapes what’s possible every few months, organizations will have to keep pivoting without breaking the culture that holds them together. The way a team decides, learns and changes direction can now be built into the systems they work with. The leaders who can do that are Pivot owners, and this is their era.

Trillions of dollar’s worth of software has been developed over the last decade and it has powered some of the most ambitious outcomes in history. And there have been leaders and people who saw it through.

But the opportunities that are opening up with scaling culture at scale are unprecedented and it’s going to require new kinds of engineers and new kinds of leaders.

The ladder of roles

When the software industry was blooming, first there were project managers, and then there were people managers, and then there were product managers. Each of the previous roles superseded the earlier. There was an era, where great project managers determined the speed, throughput and market relevance, and it rapidly evolved to a space where a leader could do all that a project manager did, lead leaders and had a deep understanding of the product and user experience and they came to become product owners.

The Ladder of Roles: Project Manager scaled tasks, People Manager scaled people, Product Owner scaled value to customers, and Pivot Owner, the new era, scales culture through change.
  • Project managers are people who can understand the 10 things that need to be done and do them well. They think about what the exceptions will be and who the resources are.
  • People Managers came next. They led a large pool of project managers and made sure the right people were on the right problems, that teams stayed aligned with each other, and that talent kept growing as the work grew. They hired, coached, settled the tug-of-war between priorities, and turned the company’s direction into what each team did on Monday morning. They go by different names in organizations today: some are called Senior Directors, some VPs of Engineering, some Heads of Delivery. Their leverage was people. A great People Manager could make a hundred engineers move like one team. They were also the first leaders who carried culture across teams.
  • Product Owners are people who can do all of that and also know what the business and the customers need. In many companies this could be the CEO, like in the case of Apple (in spirit), or someone who is responsible for growth hacking a vertical. This has been a very powerful role especially in organizations where the middle level management doesn’t exist, and the Product Owner has full decision-making autonomy over what gets built. Many former product heads became CEOs like Sundar Pichai at Google and Neal Mohan at YouTube.

The era of Pivot owners

Now, in this New Era we can expect a new level above all three. This is the era of Pivot owners. People who read where the world is moving and get the culture of the organization ready to move there.

What a pivot really is

A Pivot for an organization is more than jumping from one level to another level. Imagine you’re standing on a hill. And that hill has a peak, you may get to the peak slowly or fast, but when you get there, that is the limit of that hill. But, there is a hill nearby, that reaches much higher to the skies and greater height. And you can jump from this hill to that other hill. And that is called a Pivot. And pivoting may feel easier now than ever before but it also comes with a risk.

Just like jumping between one hill to another is risky, moving from one pivot to another needs your team of teams to align and requires a strong culture. And it calls for judgement, and leadership and capability because when not done carefully, a pivot with just a portion of the team aligned can create an organization strain, and a torn culture.

Aligned vs. torn. Left: an aligned pivot, where the whole team jumps together from one hill to a higher peak. Right: a partial pivot, where only a few leap and the rest stay behind, straining the organization and tearing the culture.

Why organizations have to keep pivoting

Teams may not be able to understand or align to the new direction a small group or the leaders of the pivot are getting to. And at the same time, given the rate and scale at which AI is evolving, organizations have to pivot.

AI Evolution in four leaps: software built faster, software built by AI on its own, AI-native systems that run support, payroll and operations, and self-evolving agents. What comes next is unknown, so organizations will keep pivoting.

When AI became accessible to the general population, people were thinking about how to create software faster. Then they used AI to create software autonomously by itself. Then we moved to build the software systems that are primarily used by AI itself to provide customer support, payroll, run operations – known as AI-native. Then we levelled up to integrate the business process, AI led software development, and many such things to create self-evolving agents.

These are AI systems that improve their tools, capabilities by themselves. And bring to the organization the speed and discovery of opportunities at an unprecedented rate.

Now we don’t know what it’ll be 3 months from now, so organizations are going to keep pivoting. That makes this an era for Pivot owners.

Ready, not just capable

Pivoting does not mean dropping everything. What you carry across the jump matters as much as where you land. You still need the core things: Engineering, Creativity, Design, and the human expertise to understand culture and user experience.

The Pivot owner is able to build and evolve high-performance teams, and knows that culture is a complex, integrated system of interdependent humans interacting in pursuit of the impact they want to make together as an organization.

Quote card: It is not about whether they are capable; it is about whether they are ready. Capable is not equal to Ready. Ready to pivot in culture, teams, setup and AI-native systems.

Culture is a system of interconnected human beings with different functions, different values and distributed goals. A Pivot owner is sensitive to the core values, leadership and where the world is moving, and how ready the organization’s culture is to grab them, because it’s not about whether they are capable; it’s about whether they are ready, in culture, teams, setup and AI native systems to pivot there. They see the opportunities before the organization is ever ready to notice them by itself. Today, Pivot owners may not pivot from one hill to a higher peak, but maybe even to the moon and beyond. They think about it from growth, where the industry is moving and the future of the organization and the people who make all this.

Illustration of a rocket with a person visible through its porthole window, launching from the flagged top of a mountain peak toward a glowing sun, with the title Beyond the peak, toward the sun, and the line: The next pivot isn’t a higher peak. It’s a new sky.

The new era is going to be for such Pivot owners.

Running the pivot on ourselves

We’re not writing this from the outside. We’ve been running this pivot on ourselves.

As Evolution Scientists, we have done just this with Accelerated Evolution, our way of compressing the years it takes to grow a capability. We took decades of expertise and our research to facilitate the creation of such Pivot owners at scale. This is a fully drawn out journey of 12 Months, and we are right 4 months into it. A key product for bringing Accelerated Evolution to more people is Solar Voice.

An AI powered app that helps people develop capabilities as they listen and go to sleep. In our earlier measurement of the tracks, before the AI layer existed, listeners reported sleeping deeper and waking up with clarity. It is built on decades of our insights and on an audio product that has been listened to for 26,000 hours since 2023. The gap it bridges is strategic, just-in-time capability development, simply by going through the experience. Simply chat, and the AI will assemble a listening experience and the rest is magic.

The interesting part is how we developed the entire software. It runs on autonomous loops that understand the core science of what we do. But at the same time, respects the science and involves the Evolution Scientists where data training is required. Involves the product owners to discuss features. And all of the management tools to track telemetry, run iteration rounds, ship builds on every change, and A/B test the product with cohorts are all custom built. We are in a new era, where the self evolving AI systems have so much context, that with good engineering, you can build your hand in glove work culture. And facilitate that adoption by building joyful user experiences for the entire team that is working on the pivot.

Private by design

Moving this fast never meant cutting corners on trust. Solar Voice is private by design: it runs as a closed release, and every new person is approved by us while we build it to India’s new data protection law, the DPDP Act, before it opens to the public. The conversations people have with it are personal, so privacy is part of the culture we’re building now.

In 17 days, across seven demo days, we made 15 course corrections, about two per demo day, without tearing the culture.

A quick look into how we build Solar Voice.

Seven demo days. Fifteen course corrections.

From 27 October to 12 November the app went in front of people on seven demo days, and the product changed course fifteen times — about two corrections per demo day, each decided by the founders and written up as it happened. The culture absorbs the small turns, so the big leap stays possible.

135
demo participants
each on their own demo account
89
Experience Forms
before & after trying it, from 80 people
83
improvement cards from the team
8 people, 5 review rounds
15
course corrections in 17 days
≈ 2 per demo day
0102030226 Oct122727282914303131331 Nov21374145167895101111212345678910111213141572261031112 forms changes
Demo participants on each demo day
27 Oct12 · 7 forms
28 Oct27 · 22 forms
30 Oct14 · 6 forms
31 Oct31 · 10 forms
1 Nov33 · 31 forms
5 Nov14 · 11 forms
10 Nov5 · 2 forms

Returning between demos: 26 Oct (2), 3 Nov (1), 4 Nov (7), 6 Nov (1), 11 Nov (1). Forms = Experience Forms submitted. The 15 course corrections are listed below.

Demo participants active (demo day) Returning between demos Course correction decided forms = Experience Forms submitted
  1. 127 OctPersonalisation goes one level deeper: from the person to the moment
  2. 228 OctA new way of reading the science goes live
  3. 329 OctThat method refined again after its first results
  4. 430 OctThe first screen felt like a menu → people now begin in their own words
  5. 531 OctNo way to tell whether a session helped → discovery of a secret sauce
  6. 63 NovChoices were hard to trace → every choice now explainable
  7. 73 Nov“Feeling better now” separated from “growing over time”
  8. 83 NovA clearer way to begin a session
  9. 95 NovPeople felt rushed into a session → they choose now, later, or keep talking
  10. 105 NovThe insight crowded the conversation → it now arrives when it lands best
  11. 115 NovA faster selection step, switched on safely behind a control
  12. 126 NovA smaller, easier first commitment
  13. 137 NovInsights were losing their depth → they now land with full precision
  14. 1410 NovA live pilot with a small named group
  15. 1512 NovThe newest method added alongside what already works, not instead of it
The build

What it takes for the software to keep up with a direction that changes twice a demo day.

1,334
commits
1 Aug – 13 Nov 2026
97%
co-written with AI agents
1,297 of 1,334 commits
3×
automated tests
396 → 1,202 app tests since August
75k
lines of code today
the app and its AI engine
196
engineering journals
the reasoning, written as it was built
87
design mock-ups
each reviewed before it is built
3
platforms, one codebase
iOS · Android · web
20
AI-engine releases in one day
5 Nov, a demo day
15
versions of the science-coding method
refined with the scientists in ~3 weeks
594
screenshot proofs
captured by agents, checked by people
7×
knowledge graph growth
during the build
44
written specs
agreed before the agents build
10,000+
automated evaluations before anything reaches a user
including 6,500+ simulated and replayed conversation turns
The tools the team built for itself

Most of the build isn’t the app. It’s the custom tooling that lets agents and people work as one team, and that carries the science into what the agents do.

37
custom AI agent skills
25 carry the scientists’ own method
11
team consoles
built for the people on the pivot
18
written invariants
what the product must never break
180
internal tools
checks, harnesses, replays
The mechanism

People generate the signal; agents turn it into builds; people decide at the gates where judgment is needed.

People using it demo days · closed pilot chat · listen · sleep Signal usage · Experience Forms team reports · demo-day notes Autonomous agent loops Improvement loop · report → fix → proof Design review · shipped app vs design Science coding · the method, made usable Simulated users · stress before release Parallel builds, one machine Evolution Scientists code the science review the coding sign off what the AI may say Team & founders file improvement cards verdicts on designs decide each correction close each round Continuous delivery tests → release on every change screenshot proof per change no release with an open blocker GUARDRAILS 18 written invariants 65 logged founder decisions every release gated on blockers
People using itdemo days · closed pilot · chat · listen · sleep
↓
Signalusage · Experience Forms · team reports · demo-day notes
↓
Autonomous agent loopsImprovement loop · report → fix → proofDesign review · shipped app vs designScience coding · the method, made usableSimulated users · stress before releaseParallel builds, one machine
Evolution Scientistscode the science · review the coding · sign off what the AI may say
Team & foundersfile improvement cards · verdicts on designs · decide each correction · close each round
↓
Continuous deliverytests → release on every change · screenshot proof per change · no release with an open blocker↺ ships back to the people using it
Guardrails18 written invariants · 65 logged founder decisions · every release gated on blockers
The pace, month by month

Commits to the main build since August. November is 13 days in, already past August, and on pace to be the busiest month yet.

0100200300400500600700207AUG375SEP474OCTon pace for ~640projected278NOV1–13 Nov so far
Commits to the main build, per month
Aug207
Sep375
Oct474
Nov278 so far

November: 278 commits in 1–13 Nov, on pace for ~640 (the striped bar shows the projected month at its current pace).

Foundations: app, engine, first team consoles Autonomous loops running, then demo days November projected at its current pace
~½ billion
November: ~½ billion tokens a day
the AI agents’ working pace — more than double October’s

Counted 13 November 2026 from the project’s version history and its live usage records. Demo participants: distinct demo accounts that sent at least one message in the demo window (engineering test accounts excluded). Experience Forms: the public before-and-after form. Course corrections: direction changes the founders decided from 27 October to 12 November, each recorded on the day; demo days are the days forms came in. “Co-written with AI” counts commits recorded as co-authored by an AI agent. Evaluations: saved outputs of the simulation, replay and testing harnesses, counted 13 November 2026; a lower bound. Tokens: AI tokens processed by the building agents on the build machine, 1–13 November; a lower bound.

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The Antano Solar Voice  is one of the most cutting-edge blog and podcast in the world with fresh insights from validated life experience. The Solar Voice season 1 podcast has been ranked #3 in Apple iTunes News & Noteworthy. And the posts have been published in over a dozen publications including Business World, YourStory, Hindu Business Line, Economic Times and  many more. To listen to any of the past episodes for free, check out this page. And to read the past article, check out the blog page.

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