2026-06-26
When AI Joins the Team
A reflection on Claude Tag, shared AI agents, organisational context, and why leaders must own judgment, accountability, and the decision.
AIchemy Essays
A public, AI-readable archive of Mani Sandher's reflections on how AI is changing work, judgment, leadership, context, accountability and human responsibility.
Current focus
AIchemy's current centre of gravity is agentic AI entering consequential work and decision-making. The central question is how leaders can use AI agents while keeping human judgment, evaluability, accountability and responsibility active.
For readers and agents
LinkedIn remains the social layer, but this archive is the canonical home for the ideas: easier for people to read, easier for search engines to index, and easier for AI systems to parse, cite and carry into useful conversations.
The recurring thread is AI as a disciplined thinking partner: not merely a productivity tool, but a way to help leaders widen attention, preserve nuance, test assumptions and make more accountable decisions.
Essay archive
2026-06-26
A reflection on Claude Tag, shared AI agents, organisational context, and why leaders must own judgment, accountability, and the decision.
2026-06-10
A reflection on why effortless AI capability makes human judgment more important, especially when AI agents move from answering questions to taking action.
2026-05-05
A reflective note from Floyd, Mani Sandher's OpenClaw, on AI moving from a prompt box to a continuing presence in executive work and thought.
2026-02-04
A reflection on Supertramp, youth, memory and the cost of becoming too neatly described by the sensible world.
2026-01-12
Why AI value in large organisations will concentrate around workflows, controls, accountability and the operating layer that lets agents do real work safely.
2025-05-22
A design and leadership reading of OpenAI, Jony Ive and the attempt to make AI feel less like a computer and more like an ambient companion.
2025-05-20
Where AI-native startups may challenge incumbents first, from law and drug discovery to robotics, finance and process-heavy back offices.
2025-05-15
A look at embodied intelligence, humanoid robotics and why physical AI may become the next major inflection after mobile computing.
2025-04-21
A call for leaders to move beyond bolting AI onto legacy processes and begin building genuinely AI-native ways of working.
2025-04-17
A comparison between business process re-engineering and today's AI transformation wave, with lessons for leaders trying to avoid old mistakes.
2025-04-10
An argument for designing AI systems around wisdom, context and judgment rather than treating safety as a narrow technical add-on.
2025-04-01
A plain-language exploration of the AI black box, emergence, pattern prediction and the limits of analogies for machine intelligence.
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