Chapter 31: Preparing for AGI

You are a senior product leader at a mid-sized technology firm. You spent your career building a team of specialists. You have a rigid hierarchy of junior and senior product managers. You have a ratio of one product manager to five engineers. Your calendar is a graveyard of alignment meetings and status updates. You watch as your teams struggle to coordinate across functional silos. Every new feature requires weeks of documentation and months of manual execution. You feel the weight of coordination tax slowing your every move. You see the horizon shifting. Small startups with three people are shipping products that would take your entire department a year to build. These teams do not talk about roadmaps. They talk about agents. They do not write code. They write prompts. You are at a crossroads where you must decide to either protect your traditional headcount or to evolve into an architect of an agentic workforce. The tension lies between the safety of human-only structures and the metabolic speed of human-agent medleys. You face a reality where the cost of software implementation is dropping to zero while the value of judgment and intent is rising. You must either master the agentic future or watch your company become an expensive relic of a slower era. If you do not learn to orchestrate agents you will be outpaced by those who can do ten times more with ten times less.

CORE SKILL OR PRINCIPLE

The core principle of the agentic future is the transition from managing people to orchestrating a society of autonomous models. You must move from being a manager of software artifacts to a manager of model behavior and intent. Success in this era requires you to view every digital task as a potential agentic loop. You must adopt a mindset where your own growth as a leader is determined by your ability to increase your personal and organizational span of control through automation. This requires you to move up the ladder of abstraction. You must stop acting as a bricklayer who manages syntax and start acting as an architect who manages systems and outcomes. You must prioritize taste and judgment as your primary differentiators. The goal is to build a company that behaves like a living organism that gets better with every interaction. You must master the art of turning ambiguity into extreme clarity for machines and humans alike. This is the skill of the agentic orchestrator.

EVIDENCE FROM THE CONVERSATION

Evidence from the frontier of AI development shows that the volume of digital workers is exploding. A single platform already supports millions of agents running for fifteen thousand customers. Leaders at OpenAI and Microsoft observe that we are entering an agentic society where the traditional org chart is becoming obsolete. In this new society everyone effectively becomes a manager because agents are integrated into every workflow. Management skills that were once expensive and rare are now becoming cheap and broadly distributed. This allows a single individual to oversee a team of junior AI buddies that can execute tasks end to end.

The form factor of software itself is undergoing a step change. SaaS products are being replaced by agents that focus on business outcomes rather than just features. Successful companies are already seeing resolution rates of over eighty percent for customer support queries without any human intervention. These agents are not just chatbots but independent software processes that can run complex tasks and browse the web. They are becoming as common as the database in the modern software stack.

In the realm of engineering the shift is even more dramatic. Experts predict that ninety percent of code will be AI generated in the near future. Elite teams at Anthropic already report that over seventy percent of their pull requests are generated by AI. Engineers are shifting their time from writing code to reviewing and validating what agents produce. This allows much smaller teams to be ten times more impactful by writing twenty times more code. The bottleneck has shifted from the production of things to the generation and articulation of ideas.

Junior employees are benefiting from what leaders call Iron Man suits. AI tools are raising the ceiling and lowering the floor for skills across the board. A junior developer can now spend more time understanding systems and products because the machine handles the simple syntax that used to take years to learn. This democratization of design and engineering allows anyone with a sharp vision to bring products into existence. Success now depends on the quality of your curiosity and your ability to ask the right questions.

PRACTICAL BREAKDOWN

WHY AGENTS WILL OUTNUMBER EMPLOYEES BY 2026

You must recognize that agents are limitless information eaters that never sleep or take weekends. While your human staff is limited by their typing and multitasking speed agents can run many tasks in parallel. The ratio of agents to employees is already reaching five to one in some elite startups. You must identify every repetitive task in your organization and prepare to delegate it to an agentic process. This includes routing tickets and summarizing meetings and even writing initial strategy drafts.

The economic logic of this shift is undeniable. Agents are significantly cheaper than human labor and their marginal cost is dropping. By 2026 the sheer volume of these autonomous processes will create a world where human oversight is the primary constraint. You must prepare for a future where your company is an equation of investment that leads to a predictable and compounding return driven by digital labor.

THE AGENTIC SOCIETY AND WORK CHARTS

You must move away from the traditional org chart that focuses on who reports to whom. In an agentic society you must organize around task based opportunities. This means you must view your team as a medley of humans and agents collaborating in a shared space. You will need to manage a thousands of agents doing work simultaneously which requires a new kind of leadership.

You must develop the skills of a model manager. This involves setting clear goals and inspecting the work of agents rather than just handholding them through fine motor tasks. You must create environments where agents can be default useful by unblocking their productivity loops. This requires you to focus on the connected experience and systems architecture rather than individual contributions.

AI AGENTS REPLACING SAAS PRODUCTS

You must understand that the era of monolithic apps is coming to an end. The new product form factor is the agent which is an entity that understands your overarching goals and acts on your behalf. You must shift from building intuitive products that users have to learn to building agents that converse with users to understand their intent.

Success in this market requires you to focus on business outcomes rather than technical mechanics. You must adopt outcomes based pricing where you charge for the work delivered by an agent without a human in the loop. This allows you to tap into labor budgets which are ten times larger than software budgets. Your product must become a reasoning engine that solves whole problems for the user.

WORKING WITH ARSENALS OF AI SPECIALISTS

You must learn to orchestrate a society of models where different agents handle different parts of a workflow. You should not rely on a single general model but instead use an ensemble of specialized agents fine tuned for specific tasks. This allows you to find the right model for the right use case to maximize quality and efficiency.

You must manage these agents asynchronously by tagging them on issues in tools like Slack or Linear. This allows you to hand off tasks and receive results without constant back and forth. You must treat these specialists as teammates that participate in your planning and prioritization. The goal is to create a virtuous cycle of improvement where AI identifies its own opportunities for better performance.

WHY 90 PERCENT OF CODE WILL BE AI GENERATED

You must accept that manual coding is becoming a legacy skill. AI is already capable of writing the vast majority of software because programming is essentially just telling a computer what to do. You must shift your focus from the syntax of TypeScript or Python to the logic and system design of your application.

The role of the engineer is changing from a coder to a reviewer and architect. You must build custom review flows to make it easier for humans to validate what the AI is outputting. Engineers will work on intellectually challenging tasks while agents handle the drudgery of boilerplate and unit testing. This allows you to write ten to twenty times more code with the same amount of human effort.

THE SHIFT TO PROMPTS INSTEAD OF CODE

You must master the art of spec driven development where you write a plan and the AI executes it. This requires you to articulate what success looks like in a way that is useful for model calibration. Prompting is a very human act of effective communication intended to get the best output from an intelligence.

You must provide your models with high fidelity context because they only know what they were trained on or what you provide in the millisecond of a query. Success depends on your proprietary data and the unique context of your business workflows. You must move from a step by step imperative model to a declarative model where you simply describe the desired outcome.

IRON MAN SUITS FOR JUNIOR EMPLOYEES

You must leverage AI to make your junior employees as productive as senior professionals. AI raises the ceiling of what is possible while lowering the floor for entry level tasks. This allows new grads to grow much faster than previous generations because they are AI native and lack the bias of old ways of working.

You must encourage your team to use technology as an extension of their own agency. This empowerment leads to a culture of meritocracy where the best ideas can be shipped by anyone regardless of their tenure. You must teach your team to prioritize soft skills like influence and creative thinking as execution becomes a commodity. Judgment and taste are the only things uniquely yours that cannot be automated.

SKILL APPLICATION

Apply these agentic skills by conducting a total audit of your current product life cycle. Identify every point where a human is acting as a router or a summarizer of information. These are the first places where you must deploy an agentic pilot. Create a small team of high agency builders and give them the resources to automate one end to end workflow this month.

Use the associate full stack builder model to collapse the silos between your functions. Encourage your designers to push code and your product managers to build working prototypes using AI tools like Replit or v0. This makes communication more concrete because the shared language of the team becomes working software rather than static mocks or documents.

Operationalize your evaluation process by requiring a trace analysis for every agent you deploy. Do not accept high level metrics without seeing the specific failure modes. You must manually review model outputs to build your own intuition for where the AI is succeeding and where it is failing. This manual work is the highest return on investment activity you can perform in the agentic era.

Manage your roadmap by being resilient to rapid technological changes. Abandon rigid long term plans and instead set loose quarterly goals based on the current season of AI capabilities. If a new model release makes a core part of your business obsolete you must be willing to slaughter your roadmap and pivot immediately.

Maintain quality by establishing a benevolent dictator for your evaluations. Appoint one person with deep domain expertise and great taste to be the ultimate judge of model performance. This prevents the paralysis of committees and ensures that your agents reflect the high standards of your brand.

Build trust with your users by starting with high control and low agency for your agents. Allow the system to suggest actions for human review before granting it autonomy to act in the world. As the agent earns trust through reliable performance you can slowly increase its agency and move up the rung of complexity.

ACTION CHECKLIST

• Identify three repetitive tasks on your team and draft a prompt for an agent to handle them this week.
• Block out four hours to build a working prototype of a new feature using a vibe coding tool.
• Conduct a trace analysis of fifty recent agent interactions and categorize the failure modes.
• Appoint a benevolent dictator for your next AI feature to set the rubric for what good looks like.
• Replace one recurring status meeting with an automated summary generated by an agent.
• Audit your engineer to PM ratio and set a goal to increase it by twenty percent by year end.
• Schedule a demo Friday where everyone must show something they built using an AI buddy.
• Identify one "side quest" in your roadmap that an agent could execute independently.
• Write a one page strategy for your team that defines how you will leverage a society of models.
• Ask your junior employees to show you one way they are using AI to be more productive.
• Review your pricing model and identify an opportunity for an outcome based tier.
• Conduct a walk the store review of your agentic onboarding flow to identify friction points.
• Establish a Slack channel for sharing weird or provocative generative AI experiments.
• Create a rubric for taste and judgment in your product and share it with your builders today.
• Set a personal SLA to respond to any team blocker that involves agent calibration within four hours.
• Identify a high conviction low consensus bet and document the data an agent would need to test it.
• Use a speech to text tool to dictate your next project kickoff and have an agent turn it into user stories.
• Spend two hours acting as a "human in the loop" for your most autonomous agent to calibrate its behavior.
• Ask your lead engineer which part of your architecture is preventing agents from being more self sufficient.
• Commit to a six week execution cycle for your first agentic workflow and use a circuit breaker for scope.
• Write your personal README or operating manual and include how you prefer to interact with agentic teammates.