Browse the library — page 10

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1154 entries · Page 10 of 12

• Start a resumed agent session with a workspace sanity checkprotocol
• Start an agent read-only when writing is not requiredprinciple
• Start debriefs from expected versus actualquestion
• Start the hard block with retrieval before notesprotocol
• Start with what changed, not with certainty about itheuristic
• State what loses priority when the dominant goal winsprinciple
• State what the reader must do before giving the historyprotocol
• Status quo biasconcept
• Stay with someone's good news before changing the subjectprotocol
• Stop asking for one forecast under deep uncertaintyprinciple
• Stop buying certainty that cannot change the choiceprinciple
• Stop collecting answers that cannot change the next moveheuristic
• Stop expecting a new habit to become automatic in 21 daysquestion
• Stop research when expected decision value is lowheuristic
• Stop the process when the unexpected state invalidates the safety assumptionsprotocol
• Stop the search when the next evidence is unlikely to change the decisionprinciple
• Stop treating 1,000 ppm CO2 as an ASHRAE pass/fail linequestion
• Stop using hours as the proof of expertiseanti pattern
• Store durable task state outside the context windowprinciple
• Store why the item mattered when you saved itprinciple
• Stress-test one strategy across many plausible futuresprotocol
• Stress-test the high-impact scenario without calling it likelyprotocol
• Study as if you will teach, then actually teachprotocol
• Study for an explanation you will oweheuristic
• Subtract the overlap before combining countsprotocol
• Surface what the room does not already knowprotocol
• Swap answer order before trusting an AI judge's winnerprotocol
• Sweep one uncertain assumption across a plausible rangeprotocol
• Switch when the evidence changes, not when novelty appearsprinciple
• Systems and strategic leverage: feedback, flow, modularity, robust options, and information valuecollection
• Take a cold baseline before allocating study hoursprotocol
• Target the bottleneck subskillprotocol
• Teach the stubborn form explicitly, then force it into productionprotocol
• Tell an interview case honestlytemplate
• Test 'AI as thought partner' on the work that needs judgmentheuristic
• Test actual skill before letting perceived expertise override AI adviceprotocol
• Test an intervention across a replay cohortprotocol
• Test masking on the actual speech distraction before assuming any background sound helpsprotocol
• Test refindability with the words your future self is likely to haveprotocol
• Test retention later without AIprotocol
• Test the agent under conditions that resemble the real jobprinciple
• Test the alarm you are relying onchecklist
• Test the navigation before polishing the pageprotocol
• Test the rollback before you need itprotocol
• Test the target and its neighbours, not just the iconprotocol
• Test uncertainty cues on behavior, not only user ratingsprinciple
• Test what should stay unchanged when the input changesprotocol
• Test where people start, not where you tell them to clickprotocol
• Test whether modularity actually localizes changeprotocol
• Test whether silence means agreementquestion
• Thank the person for what they did, not only for what you receivedprotocol
• Timestamp the analysis plan before seeing the answerprotocol
• Trace a requirement to the reason and test that justify ittemplate
• Trace every costly requirement back to the need it protectsquestion
• Trace incentives before interpreting resistanceheuristic
• Trace side effects through another loopprotocol
• Trace the claim to an accountable origin before counting citationsprotocol
• Trace the request by identity, not by nearby timestampschecklist
• Trace where information came from before deciding whether to trust itcollection
• Track a precursor you can act on before the failureprotocol
• Track leading signals tied to the mechanismprotocol
• Track readiness with performance evidence, not study hourstemplate
• Track the next two opportunities, not the next six monthsprotocol
• Track tool errors, tool calls, runtime and tokens as agent diagnosticschecklist
• Track where your capability is overly concentratedchecklist
• Trade across different priorities instead of halving every differencequestion
• Trade on differences instead of splitting every issueprotocol
• Train accuracy before adding speed when errors are still structuralprinciple
• Train discourse functions, not only correct sentenceschecklist
• Train listening, speaking and pronunciation for transfercollection
• Train one observable speaking behavior per short cycleprotocol
• Train search skill and search motivation togetherprinciple
• Train spoken communication as observable behaviorcollection
• Train the boundary with a near-missprotocol
• Train the ear before forcing a stubborn soundprotocol
• Translate the premium into cost per usetemplate
• Treat a behavior plan as scaffolding until repeated behavior proves it workschecklist
• Treat a carbon-monoxide warning as a reason to leave, not investigateprotocol
• Treat a credential as a pointer to evidence, not the whole evidenceprinciple
• Treat a failed re-find as indexing feedbackprotocol
• Treat a provenance gap as an unknown, not a verdictheuristic
• Treat a repeated workaround as a process-design signalprotocol
• Treat a rule switch as a setup costheuristic
• Treat a timeout as an unknown outcomeprinciple
• Treat a timeout as an unknown outcome before repeating the actionpattern
• Treat build and install script changes as executable codeprinciple
• Treat context as a budget, not a transcriptprinciple
• Treat delivery metrics as diagnostics, not commandmentsprinciple
• Treat done as an evidence objecttemplate
• Treat easy fluency as a signal to change the taskheuristic
• Treat growing WIP as a delay signalheuristic
• Treat issue and PR text as untrusted agent inputprinciple
• Treat making a tie and maintaining it as different jobsprinciple
• Treat missing responses as an unanswered questionchecklist
• Treat persistent procrastination as a pattern, not a scheduling defectconcept
• Treat repairability and support life as part of the pricechecklist
• Treat repeated state-action pairs as a loop alarmheuristic
• Treat retrieved content as data, not as new authorityprinciple
• Treat surprise as evidence that the model is incompleteprinciple
• Treat the default as a decision, not empty spacecollection

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