I Just Hit Claude’s Context Limit; It Might Be the Most Important Milestone Yet

This week, I received my first “Claude exceeded context limit” error. And oddly… I felt proud. Apparently, that’s what happens when you graduate to power-user status:

• Long, deep technical conversations
• Massive document uploads
• Iterative artifact generation
• Multi-agent workflows
• AI systems collaborating with each other

It’s like redlining the engine of a performance car for the first time. But I’ll admit something else. I was relieved. Because lately, I’ve been feeling like Herbie.

The Bottleneck Is Always the Constraint

If you’ve read The Goal, you remember Herbie; the slowest hiker in the troop. The constraint. The one limiting the throughput of the entire system. The breakthrough in the book isn’t about working harder. It’s about identifying the bottleneck and redesigning the system around it. Right now? The bottleneck isn’t compute. It isn’t data. It isn’t even code. It’s me.

Here’s what was happening simultaneously today, a Saturday, sitting at my dining room table:

• Claude Code (Enterprise version) enhancing my Digital Twin application
• Gemini (via custom Gems) reviewing my nearly finished book, my Digital Twin architecture, and a day-job deliverable
• ChatGPT (Enterprise version) updating an internal Accenture workflow document
• Microsoft Copilot helping me learn Synthesia (which I invested $1K of my own money in last month)
• Synthesia generating an 8-minute narrated demo explaining why Digital Twins matter for clients pursuing reinvention
• My iPhone answering questions via voice so I don’t have to open another browser

And they say humans can’t multitask.

The truth? We can’t. But agentic systems can.

Something Changed

Around mid-February, something happened with Claude Code and I heard with Gemini as well. I don’t pretend to know the exact technical unlock. But the difference was unmistakable. They became obscenely fast. Much more precise. Shockingly capable.

Ideas were turning into working, tested applications in minutes. Business challenges I’ve been thinking about for 20+ years were suddenly solvable in a single afternoon.

Not theoretical solutions, but working software applications/agents. Let me repeat that.

Problems I’ve been ruminating on for two decades… now solvable in minutes.

The 100 in 100 Commitment

So I made a decision. I’m going to solve 100 business problems in 100 days.

Quantity… with quality. Because we’ve all heard the old axiom:

You can build something: Fast, Cheap, High quality. Just not all three.

But something has shifted. Other than my time, building solutions now feels absurdly cheap. So the new constraint isn’t capital. It isn’t engineering capacity. It isn’t tooling.

It’s attention. It’s prioritization. It’s imagination.

Earlier this week, I told Claude: “I’m too busy to babysit. Build it. Fully test it. Use the agent personas I built originally in Gems to critique the functionality and the user experience. I’ll come back later.”

It worked. So on Friday, instead of asking for a feature… I asked it to build 20 entire applications. For context, the last time I seriously coded was in 1996. And yet it worked.

As I write this, Synthesia is converting the finished product into a narrated demo explaining why a cross-functional Commercial Digital Twin is foundational to CPG reinvention.

In some instances, the best move is simply to get out of the way.

Why This Matters for Reinvention

At Accenture, we talk about reinvention constantly — and for good reason.

Reinvention isn’t incremental improvement. It’s re-architecting how value is created.

For years, digital transformation was constrained by:

• Engineering backlog
• Budget approvals
• Integration timelines
• Talent scarcity
• Long testing cycles

Now? The constraint is different.

We can:

• Prototype enterprise applications in days
• Simulate operating models
• Stress test supply chains
• Model commercial ecosystems
• Create digital twins of entire business functions

The marginal cost of experimentation and building is collapsing. And that changes everything. The companies that will win this era aren’t the ones with the biggest transformation budgets. They’re the ones who:

• Run the most experiments
• Identify bottlenecks fastest
• Empower leaders to orchestrate agentic systems
• Shift from execution capacity thinking to imagination capacity thinking

The New Herbie

In The Goal, the breakthrough came when they reorganized the hike around Herbie. In this new era, we need to identify our Herbie. Is it:

• Decision latency?
• Governance friction?
• Fear of experimentation?
• Siloed data?
• Leadership mindset?

When AI agents can do so much, the bottleneck shifts upward. It shifts to the human layer. And that’s uncomfortable for me and many of my co-workers who are working harder than ever to just keep pace.

The Context Limit Was a Milestone

When Claude told me I had exceeded the context limit, it wasn’t a failure. It was proof of immersion. Proof of scale. Proof that I was pushing the system hard enough to matter.

We are entering a phase where: The limiting factor is not whether we can build something. It’s whether we can think big enough to build the right things, fast enough and in sufficient volume to outlearn the market.

So here’s to the next 100 problems. Because reinvention isn’t a PPT strategy deck. It’s throughput. And the new competitive advantage may simply be this:

How fast can you identify your Herbie and then redesign the system so it doesn’t matter anymore?

#CPG #ConsumerGoods #Reinvention #DigitalTransformation #ArtificialIntelligence #DigitalTwin #Accenture #FutureOfWork

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