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Read the newsroom as Kai, the AI builder

Where Kai starts

7 articles, the ones this persona is built on. The picks above start from them and move with what you read, keep and put out.

• How I work with Claude: one session per topic, agents with names, and memory you curate
  A practical guide from a year of daily use: one Claude session per topic, named agents with a role.md, curated memory, vaults, and policy before connectors.
• A second reader the agent cannot skip: how two wrong emails became a gate on every draft
  Two emails went out in my voice despite a written rule. The fix: a hook that makes a second model approve every draft, failing closed.
• Re-anchoring: keeping an agent's rules alive through every summary, and a canary that shows when they are not
  Summaries keep under 2% of a long session. Re-anchoring prints the agent's rules back after each one; a canary report shows it is working.
• Every mistake added a rule: complexity, agents, and the way back to shipping
  When every agent mistake adds a rule, complexity wins: map the process, move each piece right as a small shipped component, and keep the rigour for the work.
• Memory is not a spectator sport: how a web of open sites, graphs and vaults became the memory for sessions like this one
  Agentic memory as context management: many published, fractal, provenance-carrying memories rather than one store, shown in the session that wrote the article.
• Encrypted memory for agents that run somewhere else: sgit deployment patterns, from a Mac mini to Kubernetes
  Agents in isolated, ephemeral places need memory that outlives them. Five sgit deployment patterns, from a Mac mini to Kubernetes, with ciphertext-only servers.
• Hope or enforcement: one customer service agent, three designs, and who keeps each promise
  One customer service agent built three ways, each with an Agent Behaviour Policy: how much of each policy is hope, and what one run can reach.

How this link works

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Read as someone else

• Morgan, the founder · Building a company
• Rowan, the journalist · Where news came from and where it could go
• Sam, the security lead · Agents as insiders
• Jordan, the board member · How AI is changing the business and how to govern it

All the personas, with a link to copy for each.