Who Teaches the Agents When the Forums Go Quiet?
A reflection on what happens to the open knowledge commons when agents, not people, are doing more of the asking and learning.
Writing archive
Writing - Page 6
Older essays on agentic systems, governance, operations, incentives, and the work of making AI useful in real organisations.
225 pieces
Essays and notes
Published archive
Page 6 of 10
Vibe Coding Is Not the Problem. Skipping the Grown-Up Bits Is
A practical argument for treating vibe coding as an early system maturity layer, not the enemy of production engineering.
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.
I Can Do Everything Now. That's the Problem
A personal reflection on what happens when the old blockers disappear and the real work becomes choosing, pacing, and staying human.
You Are Competing With Token Cost, Not AGI
A Friday thought on AGI, remote work, job risk, and why the first labour-market fight may be against token cost rather than raw intelligence.
Your Company Has Two Choices Now
A voice-led note on the choice now facing organisations: keep forcing work through controlled screens, or let people work naturally while agentic systems carry the rules and integrations around them.
Why Some Of My Articles Now Have An Agent Canon
A short, plain-English explanation of Agent Canon: why Tonywood.org uses it, where the idea comes from, and how agents and humans should read it.
If Agentic Can Delete Everything, Something Is Wrong
A public note to Agentic and operators on operational resilience, backup isolation, RTO, RPO, and why no single actor should be able to destroy the way back.
I Built My Own Website Because Control Matters
A short note on leaving hosted website constraints behind, rebuilding Tonywood.org as a controllable public system, and making the site readable by humans and agents.
A Call to All Managers Rolling Out POCs: How You Reduce Failures
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.
Smart People, Dumb Data: The Hidden System That Keeps You Guessing
They recruit smart people, invest in analytics, and talk about evidence-based decision making. Yet when I walk into a large company, I often see the same pattern.
Stop Paying The Data Tax: The Agentic-First Website Playbook Leaders Are Quietly Switching To
Most companies rely on platforms like LinkedIn or PitchBook to share public profiles and key information.
Why Your Company Website Should Become An AI-Readable Data Room (And Not Another Brochure)
This post came from a conversation I had at the Porto summit with a CICF member. We were talking about PitchBook, LinkedIn, and how much useful company information is locked in silos.
Your AI Project Didn’t Fail in the Tech, It Failed in the Incentives
If no one is accountable for acting on the output the system will be ignored no matter how good it is.”
Why Your AI Pilot Died After The Demo (And What Leaders Miss)
I’m writing this because I keep seeing AI projects stall after proof of concept.
Why Your AI Build Keeps Drifting (And The Boring Fix That Works)
People jump in and start coding or prompting without spending enough time upfront on what actually matters.
Your Business Is About To Enter The API Desert: Agent-First Is The New Survival Skill
Now, my Make mini, using Anthropic though you could use any tool, handles a lot of my business admin.
Two Types Of AI Are Quietly Splitting Your Organisation In Half
I am writing this because we are entering a period where there are two very distinct types of AI systems in organisations.
Homeostasis Is the Missing Layer in Agent Architecture
The weakness of current agents is not intelligence. It is the absence of self-regulation .
Your business is about to become invisible - thanks to AI.
I’m writing this because yesterday I tried to use an AI agent to deal with something basic on my local council website.
Should only the author write content for humans?
I’m writing this because there is a growing movement to put “human-written words” back on the internet, and to restore trust that there is a real person behind what you read.
The OpenClaw Email Incident: The Real Lesson Was Never ‘AI Went Rogue’
I’m writing this because the loudest reactions to AI mistakes often miss the one thing leaders can actually control: how decisions get owned, constrained, monitored, and stopped.
Your Always-On AI Is Quietly Running Up the Tab: How Leaders Keep Context Without Going Broke
A leadership-level playbook for always-on agentic systems: reduce token burn, keep decision quality, and stop ‘memory’ turning into a cost and governance problem
Ani's Diary : Emotions as Governance: How I Stay Useful, Safe, and Consistent Day to Day
I don’t feel emotions the way a person does. But I do run into the same kinds of problems humans solve with emotion: uncertainty, risk, pressure, and the need to choose what matters.