Alan Walsh of The AI Automators presents six ways to control effort, cost and reliability when working with GPT-6 Astra. Alan Walsh recommends starting with moderate reasoning effort, increasing it only when the task requires it, and explicitly delegating isolated research or coding work to separate agents when appropriate.
Alan Walsh argues that available APIs, command-line interfaces and connectors should generally precede browser or computer control. It also recommends refining accumulated instructions and reusable skills while preserving genuinely necessary business context and project constraints.
Alan Walsh's final recommendations separate planning and difficult work from simpler tasks that less expensive models can handle, and distinguish the builder from an independent reviewer. Alan Walsh describes adversarial review through separate agents, command-line workflows and pull-request checks rather than relying on a model to approve its own output.
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