Frequently asked questions about thinking, epistemology, and cognitive tools. 567 answers
Start a 7-day agent monitoring journal. Choose one cognitive agent — a habit, routine, or behavioral pattern you rely on regularly (examples: your morning routine, your email processing habit, your exercise practice, your reading habit). Each day, spend 5 minutes recording three things about that.
Pick one cognitive agent you are currently running — a habit, a routine, a decision rule, anything you have delegated to a repeatable process. For the next seven days, track three things about it each day: (1) did you execute it (yes/no), (2) how long did it take, and (3) rate its quality from 1.
Pick one cognitive agent you are currently monitoring — a habit, a workflow, a recurring decision process. Collect or reconstruct its performance data for the last thirty days. Plot it on a simple line chart (a hand-drawn graph on paper works fine). Now draw a trend line through the data — you do.
List every metric, dashboard, notification, and check-in you currently use to monitor your cognitive agents (habits, systems, workflows, goals). Count them. Now force-rank them: which three, if they turned red, would demand immediate action? Move those three to a single surface you see daily..
Pick two agents (habits, routines, or decision rules) that serve similar goals. Define 2-3 shared metrics. Track both for one week under comparable conditions. At the end, place the results side by side: which agent performed better on which metric? Did one dominate across the board, or did they.
Select one agent you are currently monitoring — a habit, a tool, an automated process, a recurring decision. Pull up whatever data you have collected on its performance over the past two to four weeks. Now answer three questions in writing. First: what does the data suggest you should change? Be.
Select your most important cognitive agent — the one whose performance matters most to your daily functioning. Conduct a full monitoring audit using the Phase 28 toolkit: (1) Map the complete feedback loop: what action does the agent take, what do you observe about its output, what standard do you.
Select one agent — a habit, routine, or system — that you have been monitoring for at least two weeks. Pull up whatever data you have: a habit tracker, journal entries, a spreadsheet, even your memory of how it has been performing. Now run a single optimization cycle. (1) STATE THE CURRENT.
Map a system you operate — a workflow, a daily routine, a project pipeline, a learning process. List every sequential step. For each step, estimate the time it takes and whether downstream steps must wait for it. Identify which step most frequently causes the rest of the system to wait. This is.
Choose one system you interact with daily — a workflow, a codebase, a communication process, a personal routine. For the next seven days, make exactly one small, measurable improvement to it each day. The improvement must be specific enough to describe in a single sentence: 'Reduced the number of.
Select a system, habit, or process you have been actively trying to improve. Draw a simple chart: X-axis is total effort invested (hours, iterations, dollars), Y-axis is total improvement gained. Plot your best estimates for each round of optimization. Identify the inflection point — the moment.
Identify one thing in your life you are currently optimizing — a workflow, a habit, a project, a skill, a system. Write down the specific threshold at which it would be 'good enough' for its actual purpose. Then honestly assess: are you above or below that threshold? If you are above it, write a.
Choose one agent, automation, or recurring process in your life — a morning routine, a writing workflow, an AI prompt you use regularly, a decision-making checklist. Design an A/B test for it. Write down: (1) The current version (A) and what you suspect could be improved. (2) A specific, single.
Identify something you are currently trying to improve — an AI agent, a workflow, a habit, a creative process, a system. List every change you are considering making. Now rank them by your best guess of impact. Take only the top-ranked change and implement it in isolation. Define your measurement:.
Select one agent — a habit, routine, system, or workflow — that you have optimized at least three times. Write down: (1) the specific improvements each optimization round produced, (2) whether the gains are getting smaller with each round, and (3) the fundamental framework assumptions the agent.
Pick one agent — a routine, habit, or recurring process — that you perform at least three times per week. Time it from trigger to completion, breaking it into discrete steps. Identify which steps are execution (actually doing the work) and which are overhead (setup, transition, context-switching,.
Pick one agent (habit, routine, decision rule) you run at least three times per week. For the next five instances, score each outcome on a simple 1-5 accuracy scale: Did it produce the result it was supposed to? Not 'did it feel good' or 'did it happen fast' — did it hit the target? Calculate your.
Map a multi-agent system you run — a morning routine, a work process, a creative pipeline, a team workflow. List every component agent. Now list every transition between agents. For each transition, estimate how much time, energy, or quality is lost in the handoff. Identify the three most.
Select one process you perform regularly — a weekly review, a project kickoff sequence, a content creation workflow, a decision-making protocol. Write down every step in the process, numbered sequentially. For each step, answer two questions: (1) What value does this step produce that would be.
Pick one cognitive agent that has been underperforming. Block two 60-to-90-minute sessions this week — non-negotiable calendar entries, not aspirational intentions. Before each session, write one sentence defining what 'better' means for this agent (faster trigger recognition, fewer false.
Select one agent, workflow, or system you are currently using — this could be an AI agent, an automated pipeline, a personal routine, or a professional process. Define three measurable metrics that capture its performance. These should be specific and quantifiable: accuracy percentage, completion.
Pick one cognitive agent you currently run — a decision protocol, a review habit, a planning routine, or a journaling practice. Map it to the four lifecycle stages: (1) When and why did you create it? (2) When did you actually deploy it into daily use? (3) What maintenance have you done — or.
Choose one behavior you have been trying to adopt but have not successfully made automatic. Work through the five-stage agent creation process for it: (1) Identify the need — what specific problem does this agent solve? Write it as a gap between your current state and your desired state. (2).
Choose one cognitive agent you have designed but not yet deployed — or one you deployed but that never became consistent. Write down three things: (1) the date you first attempted to run this agent, (2) how many consecutive days it operated before the first failure, and (3) what happened after the.