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11 results for “planning” (members search the full text)

• AgentStarterAny assistantPre-Mortem AnalystAssumes your plan has already failed, lists why, ranks the causes and turns the top ones into mitigations and early-warning signs.
• PromptBuilderAny assistantAgent Task PlannerIt separates judgment from fixed steps, which keeps agents cheap and predictable.
• PromptBuilderAny assistantBackup and Restore Plan BuilderStarting from recovery targets rather than tools produces a plan that fits the business.
• PromptBuilderAny assistantDecision Pre-MortemAssuming failure has already happened frees the model to name risks it would otherwise soften.
• PromptStarterAny assistantPrioritize My WeekReal constraints, such as hours and energy, make the plan realistic.
• AgentStarterAny assistantAssumption AuditorPulls out the hidden assumptions behind a plan or belief, rates the risk if each is wrong and proposes cheap tests to check them.
• AgentBuilderAny assistantDecay Audit PlannerLooks at a site, wiki or codebase, picks which decay audits to run first, and builds a realistic 30-day schedule with owners and stop points.
• AgentBuilderChatGPTProject Planner and Risk RegisterTurns a project idea into scope, milestones, a task breakdown and a risk register with owners and mitigations, flagging assumptions to confirm.
• GuideBuilderAny assistantBuilding Your First AI Agent, Step by StepUnderstand what an agent is, then build a simple one: a goal, a loop, a few tools and clear stopping rules, with a framework-free Python sketch.
• GuideBuilderAny assistantRate Limits and Usage Caps - Why You Hit Them and How to CopeUnderstand the difference between app usage caps and API rate limits, why they exist, and how to work within them with batching, caching and retries.
• Q&AStarterAny assistantWhat is a reasoning model and when should I use one?A reasoning model is an AI model designed to work through a problem in steps before giving its answer, often by spending extra time thinking.