Capstone - The Mock Account Loop
Run a full deployment scenario end to end
The scenario brief
After this you can restate an enterprise account's charter as its three outcome numbers and name the gating constraint before planning.
One fictional account, four deliverables, one honest scorecard. This is the practical case the loop puts in front of you, simulated so you can fail it cheaply now instead of live.
Read the brief once, then treat it as fixed. Every later section is a timed artifact you produce against these facts - a 30/60/90, a stalled-rollout rescue, an EBR and an expansion play. The account is deliberately uncomfortable: a real Cursor deployment in a 2,000-engineer org never arrives clean.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
Five stages on one account - produce each as a timed artifact, then grade yourself.
- Size
- 2,000 engineers across 9 business units; recently signed a 600-seat enterprise agreement
- Champion
- Platform/DevEx team lead who ran the eval and wants this to work
- Sponsor
- VP Eng - single executive sponsor, holds the budget, skeptical of AI ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in. claims
- Blocker
- Security org has an open review: SSOSingle Sign-On. One company login (usually via SAML or OIDC) instead of a separate password per tool./SAMLAn enterprise standard that powers single sign-on., data retention and SOC 2 questions unanswered
- Incumbent
- GitHub Copilot deployed org-wide for ~18 months; uneven usage, no formal program
- Telemetry
- You have admin analytics: seats provisioned vs. activated, Tab and Agent usage, acceptance signals
Hold these facts constant across all six sections. Do not invent new ones to make a deliverable easier.
Your charter on this accountThe three numbers
An ADM's number is not a vibe. On Meridian you own three measurable outcomes over the first 12 months and every deliverable has to ladder to one of them.
- Outcome
- Activation
- What it means on Meridian
- Provisioned seats turn into engineers who actually log in and use Cursor weekly
- How it's measured
- Activated / provisioned seats; WAU against the 600-seat base
- Outcome
- Adoption
- What it means on Meridian
- Usage deepens past autocomplete into Agent, context and
.cursor/rules/ - How it's measured
- Tab + Agent acceptance, depth of feature use, WAU/MAU stickiness
- Outcome
- Retention + expansion
- What it means on Meridian
- The 600 seats renew and the footprint grows into new business units
- How it's measured
- Net revenue retention; renewal forecast; new-team and tier expansion
| Outcome | What it means on Meridian | How it's measured |
|---|---|---|
| Activation | Provisioned seats turn into engineers who actually log in and use Cursor weekly | Activated / provisioned seats; WAU against the 600-seat base |
| Adoption | Usage deepens past autocomplete into Agent, context and .cursor/rules/ | Tab + Agent acceptance, depth of feature use, WAU/MAU stickiness |
| Retention + expansion | The 600 seats renew and the footprint grows into new business units | Net revenue retention; renewal forecast; new-team and tier expansion |
Activation feeds adoption; adoption earns retention; retention is what makes expansion honest.
The constraints you have to plan aroundWhat makes this realistic
Seats open in waves, not all 600 on day one.
Pilot first, then expand as security and proof allow.
No org-wide rollout until SSOSingle Sign-On. One company login (usually via SAML or OIDC) instead of a separate password per tool., retention and SOC 2 questions close.
This gates the timeline; pre-empt it or it stalls you.
Engineers won't sit through long training.
Enablement has to fit inside their existing workflow.
When a panel hands you a case like this, restate the charter in their language before you plan anything: “So success here is activation across the 600 seats, real depth of adoption and a renewal I can expand - and the security review is the gate on timeline.” Naming the number first signals you operate from outcomes, not activities. It also earns you the right to ask one or two clarifying questions before you commit to a plan.
Do not let the existing Copilot deployment become an afterthought. A skeptical engineer's first question is “why switch or why run two?” If you have no coexistence-or-replace narrative, your whole plan reads as a vendor pushing a product rather than an operator changing how a team builds.
Takeaway. Lock the brief, then anchor on the three numbers - activation, adoption, retention/expansion - and let the security gate and Copilot incumbent shape every later deliverable.
Self-check
QA panel gives you the Meridian brief and asks how you'd start. What do you do before proposing any plan?
Deliverable 1 - the 30/60/90 rollout plan
After this you can produce a phased rollout plan tied to the three numbers.
Give yourself 25 minutes and build the plan as if you're presenting it to the VP Eng next week. Phases, metrics per phase, the Copilot story and your top risks.
The trap in a 30/60/90 is listing activities that sound busy. A strong plan reads the other way: each phase opens with the number it moves and the activities exist only to move it. On Meridian, phase one is gated by the security review, so the first 30 days are as much about pre-empting the blocker as starting the pilot.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
The security review is a gate, not a step - clear it in parallel or the whole wave stalls behind it.
Metrics and leading indicators per phaseMake every phase measurable
- Phase
- 0–30
- Target metric (lagging)
- Security review closed; pilot team provisioned
- Leading indicator you watch weekly
- SSOSingle Sign-On. One company login (usually via SAML or OIDC) instead of a separate password per tool. test passed; security questions answered; pilot seats activated within 5 days
- Phase
- 30–60
- Target metric (lagging)
- 70%+ of pilot seats active weekly; Agent used by majority
- Leading indicator you watch weekly
- Daily Tab acceptance trend; first Agent task per engineer; office-hours attendance
- Phase
- 60–90
- Target metric (lagging)
- Pilot WAU/MAU stickiness holding; next wave approved
- Leading indicator you watch weekly
- Depth-of-use climbing (Agent, context, rules); champion running a session solo
| Phase | Target metric (lagging) | Leading indicator you watch weekly |
|---|---|---|
| 0–30 | Security review closed; pilot team provisioned | SSOSingle Sign-On. One company login (usually via SAML or OIDC) instead of a separate password per tool. test passed; security questions answered; pilot seats activated within 5 days |
| 30–60 | 70%+ of pilot seats active weekly; Agent used by majority | Daily Tab acceptance trend; first Agent task per engineer; office-hours attendance |
| 60–90 | Pilot WAU/MAU stickiness holding; next wave approved | Depth-of-use climbing (Agent, context, rules); champion running a session solo |
Lagging metrics prove the phase; leading indicators tell you a week early whether it's working.
The Copilot narrativeCoexist, then earn the switch
Do not open by trashing Copilot. Skeptical engineers have muscle memory there and an attack reads as insecurity. Run them side by side in the pilot and let the depth difference show - Cursor's codebase-aware context, Agent doing multi-file work, .cursor/rules/ encoding the team's conventions. The switch is something the pilot data earns, not something you assert.
“Keep Copilot on for the pilot. I'd rather your engineers feel the difference on their own repos than take my word for it. We'll look at acceptance and depth-of-use across both after four weeks and you decide where Cursor earns the seat.”
Top three risks and mitigationsName them before the sponsor does
- Risk
- Security review stalls the timeline
- Why it bites on Meridian
- No org-wide rollout until it closes; it can drag for weeks
- Mitigation
- Front-load it in days 0–30; bring SOC 2 + retention answers proactively; give security a named contact
- Risk
- Pilot activates but stays shallow
- Why it bites on Meridian
- Logins without Agent depth won't move retention or expansion
- Mitigation
- Track depth, not just WAU; office hours target real tasks; seed a strong starter rule in
.cursor/rules/
- Risk
- Champion burns out as the lone driver
- Why it bites on Meridian
- One platform lead can't enable 600 engineers
- Mitigation
- Build a repeatable enablement kit; recruit a second champion per BU before widening the wave
| Risk | Why it bites on Meridian | Mitigation |
|---|---|---|
| Security review stalls the timeline | No org-wide rollout until it closes; it can drag for weeks | Front-load it in days 0–30; bring SOC 2 + retention answers proactively; give security a named contact |
| Pilot activates but stays shallow | Logins without Agent depth won't move retention or expansion | Track depth, not just WAU; office hours target real tasks; seed a strong starter rule in .cursor/rules/ |
| Champion burns out as the lone driver | One platform lead can't enable 600 engineers | Build a repeatable enablement kit; recruit a second champion per BU before widening the wave |
Read your plan line by line and ask of each: does this ladder to activation, adoption or retention/expansion? Cross out anything that's just motion. If a phase has no leading indicator, you can't course-correct it - add one or cut it.
Takeaway. A strong 30/60/90 leads each phase with the number it moves, pre-empts the security gate in the first 30 days and lets the pilot - not your pitch - earn the switch from Copilot.
Self-check
QWhy front-load the security review in days 0–30 instead of starting it once the pilot shows results?
Deliverable 2 - the stalled-rollout intervention
After this you can diagnose and rescue the account when usage flatlines at month four.
It's month four. Activation has stalled at 40% and depth-of-use is sliding. You have 20 minutes to diagnose from the data and prescribe - not to reach for “more training.”
The reflex answer to a stall is a blanket re-enablement push. That's the answer a panel is watching to see you avoid. A stalled account is almost never uniformly stalled. Segment first, then prescribe per segment.
Read the signal before you actDiagnose from telemetry
- Segment
- Team A (healthy)
- What the telemetry shows
- 85% active, rising Agent use, strong acceptance
- Likely diagnosis
- Working - protect it and mine it for proof
- Segment
- Team B (shallow)
- What the telemetry shows
- Active logins but Tab-only, near-zero Agent
- Likely diagnosis
- Never crossed past autocomplete; enablement gap, not a tool gap
- Segment
- Team C (dead)
- What the telemetry shows
- Activation under 20%, declining, seats unused
- Likely diagnosis
- Blocked or unconvinced - find the real reason before anything else
- Segment
- Provisioned-not-active
- What the telemetry shows
- Seats assigned, never logged in
- Likely diagnosis
- Onboarding/friction problem: SSOSingle Sign-On. One company login (usually via SAML or OIDC) instead of a separate password per tool., install or no first-session nudge
| Segment | What the telemetry shows | Likely diagnosis |
|---|---|---|
| Team A (healthy) | 85% active, rising Agent use, strong acceptance | Working - protect it and mine it for proof |
| Team B (shallow) | Active logins but Tab-only, near-zero Agent | Never crossed past autocomplete; enablement gap, not a tool gap |
| Team C (dead) | Activation under 20%, declining, seats unused | Blocked or unconvinced - find the real reason before anything else |
| Provisioned-not-active | Seats assigned, never logged in | Onboarding/friction problem: SSOSingle Sign-On. One company login (usually via SAML or OIDC) instead of a separate password per tool., install or no first-session nudge |
40% aggregate activation can hide a thriving team and a dead one. The average is the least useful number here.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
Map each segment by how hard it is to move against how much it returns - then triage, don't blanket.
For the dead team, resist guessing. Pull the telemetry and then talk to two or three engineers directly. A flatline usually has a specific cause: a security setting blocking the codebase index, a tech stack where the starter rules don't fit or a vocal senior engineer who tried it once and wrote it off.
What you escalate vs. solve yourselfUse the account team
Enablement design and office hours.
Champion re-activation and the proof narrative.
Health diagnosis and segment plan.
Index/permission blockers.
SSOSingle Sign-On. One company login (usually via SAML or OIDC) instead of a separate password per tool. scope and admin config.
Technical objections from senior engineers.
A genuine feature gap blocking a team.
Recurring friction worth roadmap attention.
Carry it as the customer's voice, with data.
Escalating everything to Field Engineering or Product is its own failure mode. It signals you can't operate the account and you're offloading the hard part. Solve the enablement and motivation problems yourself; escalate only true technical blockers and real feature gaps and bring data when you do.
Design the re-engagementA visible win plus the champion
Re-engagement needs a fresh, high-visibility win and a re-activated champion in the same motion. Pick one painful, common task - a flaky test suite, a migration, a slow review queue - and land an Agent-driven win on it with the healthy team. Then have the champion, not you, present it at the next eng all-hands.
“The 40% number is hiding two stories. Team A is thriving and I want to make them visible. Team C has a real blocker I need to find before I spend a dollar of enablement on them. Here's the per-team plan and exactly what I'm escalating.”
Takeaway. A stall is rarely uniform - segment from telemetry, prescribe per team, escalate only true technical or product blockers and re-engage with one visible win the champion presents.
Self-check
Deliverable 3 - the Executive Business Review
After this you can build and deliver an EBR narrative for the VP Eng sponsor.
Build the EBR you'd run with the VP Eng at the six-month mark. It opens with their goals, pairs data with real developer stories and surfaces the renewal before they ask.
An EBR is not a usage dashboard read aloud. The sponsor is skeptical of AI ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in., so the structure matters more than the slides. Open in their language, prove value with paired data and stories and make the renewal a natural next step rather than a separate ask.
The EBR arcSix moves, in order
- 1Open with their goals. Restate the outcomes the VP Eng signed up for, in their words. “You wanted faster onboarding for new hires and less time lost on boilerplate review.” You're grading against their scoreboard, not yours.
- 2Show progress in their metrics. Map your telemetry onto those goals. Activation and depth-of-use are your proof, but framed as “three quarters of the pilot org now uses Agent on real tasks weekly,” not as raw chart dumps.
- 3Pair each number with a story. For every metric, bring one concrete, named workflow win. The data proves scale; the story makes it real and memorable to a CTO.
- 4State value honestly - no inflated ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in.. Talk about time reclaimed and friction removed without claiming a fabricated productivity multiplier. Credibility with a skeptical sponsor is worth more than a big number you can't defend.
- 5Bring the forward plan. Show the next two quarters: the wave to new BUs, the depth targets and where you see expansion. The sponsor should see momentum, not a victory lap.
- 6Surface the renewal early. Name the renewal timeline now and tie it to the realized value, so it's a continuation of a working program rather than a year-end surprise.
Pairing data with workflow storiesThe credible-evidence pattern
- The number
- Agent acceptance up across the pilot org
- The story that makes it land
- A senior engineer cleared a multi-file refactor in an afternoon that used to eat two days
- The number
- WAU/MAU stickiness holding at six months
- The story that makes it land
- A platform team encoded their conventions in
.cursor/rules/so new hires ship correct code in week one
- The number
- Depth-of-use climbing past autocomplete
- The story that makes it land
- A squad used Agent to drain a flaky-test backlog that had stalled their release for a quarter
| The number | The story that makes it land |
|---|---|
| Agent acceptance up across the pilot org | A senior engineer cleared a multi-file refactor in an afternoon that used to eat two days |
| WAU/MAU stickiness holding at six months | A platform team encoded their conventions in .cursor/rules/ so new hires ship correct code in week one |
| Depth-of-use climbing past autocomplete | A squad used Agent to drain a flaky-test backlog that had stalled their release for a quarter |
Numbers without stories feel like a sales deck; stories without numbers feel anecdotal. The EBR needs both, paired.
Answer the hardest question head-onPre-empt the skeptic
A VP Eng who doubts AI ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in. will ask some version of: “How do I know this is real productivity and not just developers feeling faster?” Have the answer ready and lead with the honesty.
“I won't claim a tidy productivity multiplier - that number would be fiction and you'd be right to distrust it. What I can show is depth-of-use climbing, retention of usage at six months and specific work that moved faster, in your engineers' words. If you want a controlled read, let's instrument one team's cycle time against a comparable team for the next quarter and look at the real delta together.”
Overclaiming ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in. is the single fastest way to lose a technical sponsor and, with it, the renewal. Cursor's culture screens hard for truth-seeking; an EBR that inflates a number is exactly the instinct the panel is checking you don't have. Underclaim and over-deliver.
Would a CTO leave this review able to say, in one sentence, what value they got and what they're paying for next? If the answer lives only in your charts and not in their language, rebuild the open.
Takeaway. An EBR opens in the sponsor's goals, pairs every metric with a named workflow story, refuses to inflate ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in. and makes the renewal a continuation of proven value.
Self-check
QThe skeptical VP Eng asks: “How do I know this is real productivity, not developers just feeling faster?” What's the strongest answer?
Deliverable 4 - the expansion play
After this you can turn a proven beachhead into net revenue retention.
The pilot org is thriving and the EBR landed. Now build the expansion: where you grow, when you pitch, how you quantify it and how Sales stays in lockstep so Meridian sees one team.
Expansion is earned, not pushed. The fastest way to torch trust with a technical buyer is to pitch more seats before the first ones are deep. The right expansion anchors on a proof point the beachhead already produced and times itself to a visible win.
Pick the expansion vectorWhere the next dollar comes from
Replicate the beachhead in adjacent business units.
Anchor on the proof: “Platform got X - your team has the same workflow.”
Move accounts onto a higher tier for admin, controls or capacity.
Justified once depth-of-use shows the current tier is binding.
Agent at scale, MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. into internal systems, deeper rules.
Expand the value per seat, not just the seat count.
On Meridian, the cleanest first move is replicating the platform team's success into the next business unit, anchored on the EBR proof point. The MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. and Agent-at-scale story is the value-deepening play you bring once the second BU is live.
Time the pitch and multi-threadWho hears it and when
- 1Wait for a visible win. Pitch expansion in the wake of a result the customer can see - the EBR, an all-hands demo, a backlog the beachhead drained. A win is the only credible pretext for growth.
- 2Map beyond the single sponsor. You have one executive sponsor today. Find the economic buyer for the next BU - a peer VP or director - and build a relationship before you need their signature. Single-threaded accounts churn when the sponsor moves.
- 3Let the champion carry it inward. A peer recommendation from the platform lead to the next BU's lead beats any pitch you deliver. Arm the champion with the proof and let them open the door.
Quantify in the buyer's own metricsSpeak their scoreboard
- Expansion claim
- Add the next BU's 200 engineers
- Framed in what the buyer already measures
- Onboarding time and review load - the same pains the platform team already cut, now on their org
- Expansion claim
- Move to a higher tier
- Framed in what the buyer already measures
- Admin and security controls their security org asked for, plus capacity the current tier caps
- Expansion claim
- Adopt Agent + MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. at scale
- Framed in what the buyer already measures
- Cycle time on the workflows they own - concrete tasks, not a generic AI ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in. claim
| Expansion claim | Framed in what the buyer already measures |
|---|---|
| Add the next BU's 200 engineers | Onboarding time and review load - the same pains the platform team already cut, now on their org |
| Move to a higher tier | Admin and security controls their security org asked for, plus capacity the current tier caps |
| Adopt Agent + MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. at scale | Cycle time on the workflows they own - concrete tasks, not a generic AI ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in. claim |
An expansion case the buyer can't map to their own metrics is a vendor's wish, not a business case.
One account team with SalesNo surprises, no turf
The expansion is a commercial motion, so Sales has to be in it from the start - not handed a closed deal at the end. Brief the account executive on the proof, the target BU and the timing before you talk numbers with the customer. Meridian should never sense daylight between you and Sales.
Panels probe whether you guard turf or make the team better. Volunteer the coordination unprompted: “I'd line up the expansion with the AE before I floated it to the customer, so the proof I bring and the commercial ask are one conversation. The customer should see a single account team, not a CSM and a rep with different agendas.” That answers the cross-functional panel's real question before they ask it.
Ask the honest question: is this expansion earned by adoption or am I pushing it to hit a number? If you can't point to a proof the customer already feels, you're pushing - slow down and deepen first.
Takeaway. Earned expansion anchors on a proof the customer already feels, times itself to a visible win, multi-threads to a new buyer, quantifies in their metrics and runs as one team with Sales.
Self-check
QWhat is the clearest sign that an expansion play is earned rather than pushed prematurely?
Self-scoring against the ADM bar
After this you can grade your full loop against the competencies a Cursor panel applies.
Four deliverables done. Now grade them the way the panel would - across five dimensions, with a hard look at anything you overclaimed.
Self-scoring only works if you're honest about it. The whole point of this capstone is to find your weak dimension while it's free to fix. Score each one 1–5, then read the consistency check, because a loop that contradicts itself across deliverables fails even if each piece looks strong alone.
The five-dimension rubricScore each 1–5
- Dimension
- Product depth
- A 5 looks like
- You speak Tab, Agent, context,
.cursor/rules/, MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. fluently and tie each to a workflow outcome - A 2 looks like
- Generic “the AI helps developers” with no specific Cursor capability
- Dimension
- Rollout / operational rigor
- A 5 looks like
- Phased plan with metrics and leading indicators per phase, risks named with mitigations
- A 2 looks like
- A list of activities with no numbers and no sequencing logic
- Dimension
- Data reasoning
- A 5 looks like
- You segmented the stall and traced each action to a specific signal
- A 2 looks like
- You reached for “more training” against an aggregate number
- Dimension
- Executive communication
- A 5 looks like
- EBR opens in the sponsor's goals, pairs data with stories, surfaces renewal early
- A 2 looks like
- A dashboard read-out with no narrative the CTO would repeat
- Dimension
- Truth-seeking honesty
- A 5 looks like
- You refused to inflate ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in. and flagged your own uncertainty
- A 2 looks like
- You promised a productivity multiplier you can't defend
| Dimension | A 5 looks like | A 2 looks like |
|---|---|---|
| Product depth | You speak Tab, Agent, context, .cursor/rules/, MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. fluently and tie each to a workflow outcome | Generic “the AI helps developers” with no specific Cursor capability |
| Rollout / operational rigor | Phased plan with metrics and leading indicators per phase, risks named with mitigations | A list of activities with no numbers and no sequencing logic |
| Data reasoning | You segmented the stall and traced each action to a specific signal | You reached for “more training” against an aggregate number |
| Executive communication | EBR opens in the sponsor's goals, pairs data with stories, surfaces renewal early | A dashboard read-out with no narrative the CTO would repeat |
| Truth-seeking honesty | You refused to inflate ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in. and flagged your own uncertainty | You promised a productivity multiplier you can't defend |
Truth-seeking is weighted heavily here. Cursor's hiring culture screens for it on purpose.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
Score each 1–5 - but know which ones a Cursor loop weights hardest before you self-grade.
The overclaim auditFind your own hand-waving
Go back through all four deliverables and flag every place you asserted something you couldn't defend with the brief's facts. That's the exact instinct Cursor's “no AI in interviews” and truth-seeking culture is built to screen out.
Lay the four deliverables side by side. Do the metrics match? If your 30/60/90 targets 70% pilot activation, your stall section can't quietly assume 90%. Do the stories hold? The workflow win you cite in the EBR should be one you actually generated in the rollout or rescue. A panel notices when your numbers drift between artifacts faster than you do.
Find your weakest dimension and drill itOne drill, highest impact
- Product depth
- Spend an hour driving Agent and
.cursor/rules/on a real repo, then narrate what changed in the workflow. - Operational rigor
- Rebuild the 30/60/90 with a leading indicator on every phase; cut any line that's pure activity.
- Data reasoning
- Re-run the stall diagnosis from a blank page; force a different action per segment from the signal.
- Executive communication
- Record the EBR open out loud in the sponsor's words; if it lives in your charts, redo it.
- Truth-seeking honesty
- Rehearse the “how do I know it's real ROIReturn on Investment. The value gained versus what it cost, the language an economic buyer funds deals in.” answer until the honest version is your default.
Rehearse the whole scenario out loud, once, under time. Set 90 minutes, talk through all four deliverables and the self-score with no notes and record it. The replay shows you the seam where your reasoning thinned - usually the same dimension your rubric flagged. Do this before the real loop, not during it.
Final gate: if a Cursor panel sat through your full loop, would they believe you've actually owned an enterprise rollout end to end or would they catch the place you've never done this for real? Fix that place.
Takeaway. Grade across product depth, operational rigor, data reasoning, executive communication and truth-seeking - then drill your weakest dimension and run the whole loop out loud once under time.
Self-check
QOf the five scoring dimensions, why does truth-seeking honesty carry extra weight in a Cursor ADM loop?