https://100monkeys.ai/blog/Essays from 100monkeys.ai on AI agents, source control, approvals and accountability.enhttps://100monkeys.ai/blog/approval-step-for-an-agent-orchestratorhttps://100monkeys.ai/blog/approval-step-for-an-agent-orchestratorWed, 28 Oct 2026 20:32:00 +0000A pattern for human approval gates in agent workflows: where the gate goes, what the reviewer sees, what silence means, with AEGIS as the worked example.https://100monkeys.ai/blog/ai-agent-traceability-checklisthttps://100monkeys.ai/blog/ai-agent-traceability-checklistWed, 28 Oct 2026 20:31:00 +0000What to log on every agent run, what to sign so the log can be trusted, and what to show the reviewer. Vendor-neutral, with open standards for each step.https://100monkeys.ai/blog/install-aegis-on-ubuntu-vpshttps://100monkeys.ai/blog/install-aegis-on-ubuntu-vpsWed, 28 Oct 2026 20:30:00 +0000Install AEGIS on a fresh Ubuntu server with one command, run an agent, then gate its result behind a human approval. Every step from the public docs.https://100monkeys.ai/blog/blame-that-remembers-whyhttps://100monkeys.ai/blog/blame-that-remembers-whyWed, 28 Oct 2026 18:00:00 +0000When the author of a change is an agent, blame can no longer point at a person who remembers. What a change should carry instead: the reason, the whole change, no silent merges, a history that cannot be rewritten, and approval bound to what was approved.https://100monkeys.ai/blog/the-approval-is-the-producthttps://100monkeys.ai/blog/the-approval-is-the-productWed, 28 Oct 2026 17:59:00 +0000Two kinds of yes, and why both belong outside the model: a deny-by-default policy in the runtime, and an approval bound to the exact act.