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How to Cut AI Coding Token Costs Without Losing the Agent
Agentic coding tools bill you for context on every turn. Here is the routine we use to cut AI coding token costs without giving up the agent.
Guide collection
Automation playbooks for solopreneurs and small teams — emails, reports, lead handling, onboarding.
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Agentic coding tools bill you for context on every turn. Here is the routine we use to cut AI coding token costs without giving up the agent.
Telling an AI coding agent 'don't delete X' is a hope, not a boundary. Here are five guardrails that make destructive runs revertible instead of catastrophic.
Codex's SQLite/WAL log store under ~/.codex can grow very large. A safe size check, targeted cleanup, scheduled prune, and backup-exclude for Mac and Windows.
A practical AI subscription audit workflow for small teams that need to cut overlapping paid tools without losing the AI features that actually support recurring work.
A practical AI follow-up email workflow for turning meeting notes into reviewed action items, open questions, and send-ready recap drafts.
A decision-first AI meeting notes workflow for turning transcripts, rough notes, and chat snippets into reviewed records small teams can act on.
A source-first AI SOP generator workflow for turning notes, screen recordings, and handoffs into usable SOPs with owner review.
A source-first AI documentation workflow for turning messy notes, decisions, handoffs, and examples into internal docs with owner review.
A practical guide to Anthropic's recursive self-improvement warning, what AI building AI means for human work, and how teams can keep judgment outside the loop.
Compare Notion and Airtable for AI content operations, with a practical workflow, tool tradeoffs, prompt, examples, and a clear adoption decision.
A small-team decision guide for n8n vs Make that compares ownership, workload shape, pricing model, migration risk, and review triggers instead of just feature counts.
Zapier is usually faster for simple AI automations; Make is usually stronger for branching, error handling, and cost modeling. Use this decision workflow before paying.
FAQ
AI Automation collects first-hand MyLing guides from across Asia — covering AI, money, travel and culture — written by someone who has lived and worked in the region. Each guide is grounded in lived context and checked before publish, not aggregated from other sites.
They're written first-hand by someone who has lived in Shanghai and is based in Taipei, so the perspective on Asia is lived rather than researched from a distance.
Open the guide closest to the question you have, and treat it as a first-hand briefing from someone who has lived across the region.