The Workday Is Measured in Tokens Now
A personal reflection on running out of tokens, choosing the right level of intelligence for the task, and why the future workday may be bounded by model budget as much as hours.
Topic
Learning, teaching, critical thinking, skills, and how people build capability around AI and agentic systems.
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The list below mixes shorter essays, longer research, and agent-facing notes, ordered by publication date. Each item links to the canonical human page and preserves the original Tonywood.co source URL where available.
tonywood://topics/educationhttps://www.tonywood.org/topics/education/A personal reflection on running out of tokens, choosing the right level of intelligence for the task, and why the future workday may be bounded by model budget as much as hours.
Most AI proof-of-concepts fail after the demo. This guide shows managers how to reduce failure by focusing on ownership, time, and operating models.
A white paper exploring how the architecture of agentic employees – crews, flows, intent, memory, and style – reflects the core functions of human cognition. Drawing on neuroscience and AI research, it offers a shared vocabulary for building adaptive, persistent, and trustworthy agentic systems.
A practical, code-first framework for designing long-lived agentic employees, mapping modern agentic architectures to established concepts from neuroscience to create shared understanding across engineering, leadership, and governance.
Document Type: White Paper Position: Practitioner-led cognitive architecture proposal
As agentic artificial intelligence systems transition from episodic task execution to continuous operation, the design of memory becomes a critical and under-examined challenge. Prevailing approaches treat memory as an accumulation problem, prioritising exhaus
If you’re building agentic workers, you’re probably drowning in data and none of it feels quite right to keep. Storing every scrap of operational noise isn’t just expensive and messy, it crams your agent’s mind full of useless clutter. Humans don’t do this. We
Because amidst the excitement about agentic AI, a subtle but persistent challenge keeps cropping up. It’s not about better tools, sharper reasoning, or the intelligence of the agents themselves. It’s about how these systems decide what is actually worth rememb
A painful nail infection turned into a leadership lesson on decision quality: why confident crowd advice can be riskier than careful AI, and how to build an escalation mindset that keeps people safe.
A simple, leadership-friendly way to help you and your team build practical AI skills in 30 minutes a night using one smart prompt
A leader’s guide to building agentic AI that knows when to act-and when to call in a human. Real-world lessons, actionable steps, and honest stories.
Most agentic routines in the enterprise run like clockwork they complete the task, log an outcome, and move on. But here’s the thing: a system that only executes is like a worker who forgets yesterday’s best ideas. This week, I realised our agentic routines co
If you ask your team who’s played with AI today, chances are many will say yes. But go deeper - who’s tinkered? Most will admit they haven’t touched project creation or explored any settings at all. This isn’t a minor gap - it’s a defining leadership challenge
Over coffee, parents keep asking me the same thing: is AI making it impossible for kids to think for themselves? They worry their children won’t know how to question, solve, or decide. But maybe the bigger problem is this — most of us (including schools and wo
Let’s get honest: the story dominating boardroom conversations this month isn’t about AI gone rogue – it’s about leadership that leaves oversight on autopilot. The Deloitte–Australia incident didn’t just raise eyebrows; it exposed how fragile reputation and bu
As boards grapple with more complexity and stakeholder pressure, even the best decision-makers can miss critical cues. Enter agentic AI systems that deliver unemotional, assumption-free analysis, offering the fresh perspective boards need to avoid costly mista
Leaders are rethinking what smarter AI looks like not chasing limitless data, but balancing the best of human insight, self-improving models, and robust governance.
Enterprises are at a crossroads—the question is no longer whether to use artificial intelligence (AI), but how AI represents the organisation in every digital touchpoint. As agentic AI moves from back-office automation to front-line roles, leaders face a new s
Artificial Intelligence (AI) is no longer just the subject of science fiction—it's rapidly transforming every aspect of our lives, from the way we communicate to how we work, learn, and innovate. As the UK positions itself at the forefront of the global digita
The United Kingdom is at a pivotal crossroads, where the integration of artificial intelligence (AI) into education is not only a profound opportunity but a critical necessity. As AI fundamentally reshapes every sector, from healthcare to finance, it becomes c