Ross Rondeau

AI Prompting in Practice

Most professionals use AI like a search engine and get average results by design - AI starts from everything and narrows to your input, so vague prompts produce vague outputs. Fix: a six-part prompt framework (Persona, Task, Context, References, Evaluate, Iterate), a Guess-and-Check workflow that uses AI to fix its own prompt, and building a reusable AI Prompt Library as compound interest on expertise. Covers Chain of Thought, Tree of Thought, and few-shot prompting patterns.

IBM in an Era of AI

Explores the shift from traditional enterprise platforms (mainframe, COBOL, RPG) to AI-native architectures, and what it means for organizations that have built decades of systems on IBM infrastructure. Examines the hidden cost of delayed modernization and the strategic risk of treating legacy systems as permanent rather than as debt with compounding interest.

The Escalation Gap

Organizations deploy AI agents into a single chat window and call it governance. The hidden cost is not the 9.2% hallucination rate - it is the absence of an escalation infrastructure that every human contributor already has. Covers the three-tier communication stack (chat, email, in-person) as a failure-driven system, Metcalfe's Law applied to AI nodes, the groupthink and wisdom-of-crowds research explaining why chat-only AI degrades human judgment, the FREE! effect (Ariely) driving default channel selection, and a four-tier AI escalation protocol (chat, structured workflow, human review gate, audit log). Anchored to the Deloitte Australia AI governance failure ($440K refund), EY data ($4.4M average AI incident cost), and the Colorado AI Act (effective June 2026). Connects to On Meetings, On Ownership and Inventory, and Tech: AI Prompting in Practice.

AI First Approach

What You Don't Know Yet (and What It's Costing You)

Static prompt engineering courses teach templates that decay at the speed of model updates. To recover wasted engineering hours, teams must shift from manual prompting to the interactive Meta-Coach workflow: instructing the AI to interview the user, draft the prompt, and test the output in a self-correcting feedback loop. Fourth article in the Tech Series.

The Productivity Dividend Nobody Collects

Where the Saved Hours Actually Go

Every AI program reports hours saved. Almost none can say where those hours went. The hidden cost is a gain with no destination: a task-level saving absorbed automatically by the nearest queue, spent before it is measured, and therefore invisible on the P&L. Written from 26 sessions attended at Ai4 2026 in Las Vegas, where every session had a velocity number and none had a plan for the time. Core concepts: AI produces three different gains (efficiency, productivity, capability) and organizations fund the first while reporting it as the second and wondering where the third went, each carrying a token run cost that a trivial computation showed at roughly 250x a compiled program per FM Global's Sai Maddineni; the absorption mechanism is observed rather than theoretical (UC Berkeley Haas eight-month embedded study, Microsoft's 117 emails and 275 daily interruptions); the constraint relocates rather than disappearing (Audible CTO Tim Martin on bottlenecks moving to security review, Cisco's Jeetu Patel on headcount going up rather than down) and more output is a liability before it is an asset (DORA's simultaneous throughput gain and instability increase against METR's 19%-slower-while-believing-20%-faster result); the day it lands in was already 58% work-about-work with 9% strategy, and AI supervision at 6.4 hours a week of botsitting is a new tenant in that category rather than a reduction of it; and of the three destinations for a saved hour, only new capability compounds. The instrument is a Measure of Performance to Measure of Effectiveness swap plus a relocation check, replacing "hours saved" with "named destination plus the outcome it produced." Call to action: take your most confidently reported AI time saving and write down where the hours went. Fifth article in the Tech Series; reconciles with Finding Time on the personal-versus-organizational scale of efficiency, resolves the adoption-versus-ROI paradox left open in The Escalation Gap, and cross-links AI First Approach, On Time Blocks, On Ownership and Inventory, and On Measures, Metrics, KPIs and OKRs.

On Leading

A title provides only Legal power - the other four sources (Referent, Expert, Informational, Traditional) must be built or any argument falls flat. Managers focus on rationality, control, and stability; leaders provide direction, unblock, and build what comes next. Both are necessary and neither substitutes for the other. Introduces the 70/30 rule (70% of leader time on long-term work), risk as a portfolio of bets not a single outcome, and the crystal-vs-rubber-ball framework for knowing what you cannot afford to drop under pressure.

On Environment

Organizational environment is an active system shaped by thousands of prior decisions - not a static backdrop. Leaders who skip environmental assessment before making changes pay in disengagement, turnover, and eroded trust that never appears in the original cost-benefit analysis. Covers political capital as a savings account (slow to build, fast to spend, catastrophic to overdraw), sub-optimization math (10% gain on one team at cost to seven others is a net negative), team psychological state as a leading indicator of change success, and the relational cost of change (work is a third of waking life).

On Creating Talent

Talent is built through deliberate management, not found through resume filters. Communication patterns take 15+ years to form and cannot be assessed in a 45-minute interview - situational pressure distorts signals. Technology can be taught; curiosity and motivation cannot. A job description is a wish list that rarely reflects what the role requires six months in. Hiring is a two-way street: 33% of both parties' waking hours are at stake, and the hidden cost of a mismatched hire is far larger than the recruiting fee.

On Retaining Talent: The Escalation Failure

The hidden cost of retention failure is not the departure itself. It is the organization's failure to surface the problem while there was still time to act. Covers the 2-6 month silent departure pattern (how high performers disengage, job search, and resign without a single visible signal), four reasons managers fail to escalate (awareness, skill, authority, powerlessness), the "disengagement battery" archetype and the Up-or-Out framework for managing them, the organizational design failures that create systemic escalation gaps (no triggers, no paths, no retention authority), and the financial case for early escalation vs. late escalation ($50K vs. $200K+). Grounded in SDT (Pink/Drive), Herzberg's Two-Factor Theory (Appelo/Management 3.0), Gallup (57% of managers receive zero retention training; 1 in 4 employees lack advancement opportunities), and MIT Sloan (49% of employees say poor career advice damaged their trajectory). Fourth article in the Leadership & Organizational Systems series.

On: Accountability

How Organizations Assign Blame for Impossible Decisions

People are routinely held accountable for outcomes they lack the authority to control, then blamed when those outcomes slip. The article names this the responsibility-authority gap and grounds it in RACI (Responsible does the work; Accountable answers for the outcome and should hold the authority), with RAPID as the sharper decision-rights instrument. Core dynamics: the gap itself (anchored to Gallup, only 47% of employees strongly agree they know what is expected, and role clarity is the largest engagement decline since 2020), the blame asymmetry that makes delegates absorb the cost of decisions leaders made, the unspoken negotiation through which the pattern spreads into a self-protective culture, and the structural root causes that build the gap into the org chart itself (matrix management, management-layer count, and post-merger/reorg overlap). The matrix point is anchored to Gallup: 84% of U.S. employees are matrixed to some extent, and the more matrixed they are, the less clear they are about what is expected of them (only a minority strongly agree vs. 60% of non-matrixed employees). The hidden cost is quantified through McKinsey: ineffective decision-making costs a typical Fortune 500 about $250M and 530,000 manager-days a year, with executives spending 37% of their time deciding and over half of it ineffectively. The differentiator is a reader-applicable Authority-Accountability Audit (a matrix mapping each critical decision to who is accountable vs. who holds authority) plus a three-option fix: expand authority, narrow accountability, or accept accountability yourself. CTA reframes a "one-third of critical decisions" threshold explicitly as Ross's field heuristic, not a sourced statistic. Fifth article in the Leadership & Organizational Systems series; cross-links On Leading, On Retaining Talent, Tech: The Escalation Gap, and On Ownership and Inventory.

On Meetings

Bad meetings are one of the most visible hidden costs in any organization - 10 people in a one-hour meeting is 10 hours of organizational salary with no guaranteed return. Meetings serve exactly one of three purposes (information sharing, decision making, or social) and fail when blended. Multitasking signals the meeting is the problem, not the team. Practical rules drawn from Bezos, Musk, Jobs, Cook, and Sandberg: right size, pre-work, agenda-first, allocate only time needed, end with a decision or action item.

On Time Blocks

Unstructured meetings destroy team capacity by fragmenting the 2+ hour focus blocks that knowledge workers require for deep System 2 thinking (Kahneman). Mandatory "solution" meetings strip Autonomy, Mastery, and Purpose from teams (Pink). Fix: group all meeting overhead into a single front-loaded block, separate information meetings from decision meetings, and recover up to 75% of productive capacity. Worst-case pattern vs. best-case pattern are shown side by side.

Finding Time: Efficiency Over Sacrifice

Small daily inefficiencies - 20-30 minutes at a time - create learned helplessness that silently kills career momentum in the exact decade (20s-40s) when compounding matters most. A Wasted Time Cost Calculator translates any recurring inefficiency (commute, coffee run, school pickup, open office interruptions) into annual hours lost, dollar cost, effective salary after transportation overhead, and 10-year compounding value. Seligman's learned helplessness research explains why the 66% of workers who feel powerless about their time are responding predictably to an uncalculated cost. Three-step call to action: run your number, identify one accepted inefficiency, make one change this week. Third article in the Time Optimization Series. Cross-links On Salary (true compensation calculation), On Career Progression (what reclaimed time compounds into), and On Time Blocks (cognitive prerequisites for deep work).

On Career Moonshots

Career moonshots are systems built before opportunities appear, not lottery tickets. The hidden cost is years of quiet non-preparation: certifications not earned, networks not built, Key Value Propositions never articulated. Covers credentials as compound interest (certifications for finite near-term goals, structured degrees for infinite long-term ones), defining and communicating your KVP, and the most expensive networking mistake: waiting until you need a network to build one.

On Creating Goals

Most corporate goal-setting fails because goals are defined as activities rather than outcomes - and activity-based goals can be completed without anything actually changing in the business. Covers the difference between goals that measure effort and goals that measure arrival. Examines why most organizations rebuild their goal frameworks every year (churn, not iteration) and what durable goal structures require.

On E-E-A-T: Why You Can't Get That Next Role

Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) maps directly to how professionals get discovered for roles, referrals, and opportunities. The hidden cost of not building your E-E-A-T profile is the compounding effect of years of invisible work. Covers three root causes: critical thinking in decline (AI commoditizing generic content, infinite game framing), networks getting smaller despite more digital connections (Watts/Strogatz small-world paradox, Surgeon General isolation data), and being unfindable despite having the experience (keyword targeting, LinkedIn algorithm, first-hour window). Fix: build all four E-E-A-T signals deliberately over time, starting with a Google self-search audit.

On Career Progression: The Map Organizations Never Gave You

Landing the role is not the finish line. It is the starting gun for a harder question most professionals never ask. The hidden cost of skipping that question is a career shaped by whoever got appointed above you. Covers four failure modes: the false finish line (stopping development the moment a new role is secured), organizational failure at career development (only 27% of managers globally are engaged; 49% of employees say poor career advice actively damaged their progression), the half-life problem (technical skills now decay in four years versus ten in the 1980s, while soft skills compound), and the five-year identity question (Coaching, Mentoring, Teaching, Learning, Delivery, or Influence - each a distinct career architecture independent of title or level). Fourth article in the career development chain following Career Moonshots, E-E-A-T, and Creating Goals.

On Continuous Learning

Most professionals stop learning the moment they land the job they wanted - and the skills that got them there become the ceiling they stay under. Distinguishes finite learning goals (certifications: 2-3 months of study, 2-3 years of relevance) from infinite learning goals (structured degrees: 2-3 years of study, 30+ years of relevance). Intelligence is not the barrier - decision and discipline are. Managers are accountable for professional development; individuals are responsible for doing it.

On Measures, Metrics, KPIs and OKRs

Organizations drown in dashboards while measuring the wrong things. Distinguishes Measures (data points), Metrics (contextualized data), and KPIs (outcome-tied metrics). Introduces Measurements of Effectiveness (MOE) vs. Measurements of Performance (MOP) from defense systems engineering: MOPs track activity, MOEs confirm whether the activity is working. Goodhart's Law predicts gaming any metric turned into a target. Real OKRs are durable lifetime objectives aligned to outcomes - not annually-reset SMART goals.

On Ownership and Inventory

When "we" own something, no one truly does. Inventory is broader than hardware - it includes APIs, processes, contracts, relationships, and any asset that requires future attention. Ownership requires a single named, knowledgeable, accountable person with authority and measurable outcomes (not a title, not a committee). 20-30% of systems in mature environments are effectively unowned, generating cloud bills no one questions, compliance gaps no one sees, and technical debt accruing interest until the system cannot be changed safely. Inventory + ownership = strategic leverage: the shift from firefighting and tribal knowledge to deliberate simplification and confident modernization.

On Retirement

Your employer never showed you the math that matters: at a 7% inflation-adjusted return (Rule of 72), money doubles every 10 years - each dollar spent at 15 costs $32 at retirement. Introduces the Coast FIRE concept: once a portfolio hits a threshold, compounding does more work than contributions can - you may already be done contributing. Account priority order: 401(k) to employer match first, then Roth IRA, then 401(k) to maximum, then taxable brokerage. Your retirement number is annual spending in retirement (not salary) minus Social Security offset, divided by 0.04. Most people over-save and under-live because no one helped them calculate their actual coast number.

On Salary

Salary is sustenance, a career growth signal, and a negotiable number - not a measure of personal worth, not static, not the full compensation picture. Before any salary conversation: know your market using multiple sources (Salary.com, Indeed, Glassdoor, LinkedIn) and eliminate outliers. Two candidate profiles are examined in detail: experienced professional with certifications (lead with outcomes and external validation), and junior professional without certifications applying externally (lead with STAR-format examples and first-90-day commitments). A counteroffer cancels the original offer - understand the legal dynamic before acting.

On Strategy

Most companies call tactics, activities, and goals "strategy" - and pay for it in misdirected budgets and failed transformations. A real strategy requires something UNIQUE (built around people, culture, and skills competitors cannot copy), done in a SYSTEMATIC WAY, to produce OUTCOMES measured by Measures of Effectiveness. Introduces layered strategies (outputs of one feed inputs of the next) and the cost of isolated strategies that never connect to the next level up.

Professional Objectives: Mission and Vision

A professional objective answers "why are you looking for this role?" - most professionals cannot answer it clearly. Covers the distinction between a mission (what you do and for whom) and a vision (where you are going), and why a resume without a clear professional objective signals an unfocused candidate. Practical guidance on writing both for a resume and for personal career planning.

The End of Year End

Annual performance reviews cost $2.4M-$35M per year for 10,000 employees, yet 86% of employees find them useless. The system is designed to produce inconsistent outcomes through escalation, tragedy of the commons, and rule-beating (Meadows, Ariely). Fix: quarterly cycles with monthly calibrations, and a structured AI-first approach using the CAR format and an EOYAgent prompt to compress review quality while cutting hidden costs of engagement loss and attrition.

The Five Year Fix

Current benefits strategies have five compounding hidden costs: turnover runs $30K-$100K+ per replacement and resets team performance via Tuckman's stages; employees want benefits they will not enjoy (wants are insatiable, likes are satiable); parental leave produces unequal career outcomes by gender even when equal on paper; corporate culture pays for rest while penalizing those who take it; diverse talent cannot be retained by one-size-fits-all family benefits. Fix: a mandatory, fully disconnected 3-month sabbatical every 5 years for every employee, budgeted as a total rewards line item. Levels the career inequality, creates a concrete retention incentive that compounds every year an employee stays, and makes disruption predictable instead of emergency-driven.