Thought Leadership

Meta-Prompting Worksheet & Agent Design

By Keith B. Carter

The one phrase that unlocks production-grade AI output — and the design patterns that turn prompts into agents, and agents into teammates.

Concept Overview

What Meta-Prompting Actually Is

Meta-prompting is simple. You add one phrase in front of any rough idea — and the AI flips from answering you to writing a better prompt for you.

"Create a prompt that will..."

That phrase expands your seed of information into a detailed, structured prompt that you then paste into Claude, ChatGPT, Lovable, or Copilot Studio to get production-grade output.

Seed idea

Prompt
I need something that helps my team write status reports faster.

Meta-prompt

Prompt
Create a prompt that will generate a detailed build spec for an AI agent that drafts weekly status reports for BPO consultants from Jira tickets, Teams messages, and workstream lead inputs.

The second version produces a spec you can ship. The first produces a shrug.

Pro tip: If you only remember one thing from this session, remember "Create a prompt that will..." That phrase is the unlock.
Concept Overview

Gen AI vs Agents vs Agentic

Three terms get confused. The difference shapes how you design, govern, and measure.

Generative AI

Answers when you ask. You type, it responds. One turn, one output.

Example

Asking ChatGPT to summarize a document. It waits for you.

Agents

Complete a task when invoked. Given a goal, they use tools (search, email, APIs) to reach it, then stop.

Example

An RFP response agent that reads the RFP, retrieves past wins, drafts sections, and hands you a draft for review.

Agentic

Work proactively on your behalf. Run on triggers, monitor conditions, act without you asking each time.

Example

A resource management agent that watches the bench weekly, flags overallocation, and drafts rotation recommendations every Friday.

Gen AI reacts. Agents execute. Agentic systems anticipate.

Pro tip: Most teams start by building Gen AI workflows and calling them agents. Most agents stall because no one built the trigger that makes them agentic. The value lives in the third category.
Section 1

Foundations (Beginner)

Every strong prompt — and every meta-prompt — has four parts. This is the Google framework.

Persona

Who the AI is acting as — senior solution architect, critical board member, evaluation panelist.

Task

What you want the AI to do, stated as an action verb.

Context

Background, constraints, data sources, stakeholders, and the Moment of Truth being addressed.

Format

How the output should be structured — rubric, table, build spec, 30-day plan, numbered list.

Beginner Meta-Prompt Template

Every template in this worksheet starts with the magic phrase: "Create a prompt that will..."

Prompt
Create a prompt that will instruct an AI to act as a [PERSONA] and
generate a detailed implementation prompt I can paste into [LOVABLE
or COPILOT STUDIO] to build an agent that addresses this Moment of
Truth: [MOT NAME].

CONTEXT:
- User: [ROLE AND JOB TO BE DONE]
- Data sources: [SYSTEMS THE AGENT NEEDS]
- Friction to eliminate: [LIST]
- Human approval required at: [DECISION POINTS]
- Success looks like: [MEASURABLE OUTCOME]

FORMAT: The generated prompt should produce output with these
sections: data schema, user flow, system prompt, required
integrations, and test cases.
Pro tip: The first meta-prompt is always the hardest. Walk through one worked example below before writing your own.
Section 2

Ten Worked Examples

Copy any of these, replace the bracketed inputs with your own, and paste into your AI of choice. Examples 8–10 are leadership exercises — run them on yourself before designing agents for anyone else.

1

RFP Response Agent

Meeting Preparation MOT

Lovable
Prompt
Create a prompt that will instruct Claude to act as a solution
architect for Lovable apps and generate a detailed build prompt
for an RFP Response Accelerator used by BPO pursuit teams.

CONTEXT: Agent ingests RFP documents, surfaces past winning
proposals, drafts section responses, flags compliance gaps. Pulls
from SharePoint. Partner sign-off required before export.

FORMAT: Output data schema, upload flow, draft-then-review UX,
and sign-off gate logic.

MVP in Lovable

A single-page app with an RFP upload box, a panel that shows extracted requirements and compliance checks, an editable draft pane with section-by-section responses pulled from a past-wins library, and a "Request Partner Approval" button that routes to the named reviewer. Ship in one week. Iterate from there.

2

Competitive Battle Card Agent

Meeting Preparation MOT

Copilot Studio
Prompt
Create a prompt that will instruct Claude to act as a prompt
engineer for MS Copilot Studio and generate a topic flow that
builds live battle cards when a seller names a competitor.

CONTEXT: Pulls from internal win/loss data, recent public filings,
and pricing benchmarks. Refreshes weekly.

FORMAT: Output competitor summary, our differentiators, known
objections, and three discovery questions.
3

Timesheet Reporting Agent

Status Reporting MOT

Copilot Studio
Prompt
Create a prompt that will instruct Claude to act as a solution
architect for Copilot Studio and generate a build prompt for a
timesheet assistant that drafts weekly timesheets for consultant
review.

CONTEXT: Reads calendar entries, Teams activity, project codes.
Flags over/under hour anomalies. Human reviews before submission.

FORMAT: Output data pulls, draft logic, anomaly rules, and one-
click submit flow.
4

Project & Division Budget Review Agent

Status Reporting MOT

Lovable
Prompt
Create a prompt that will instruct Claude to act as a prompt
engineer and generate a Lovable build prompt for a budget analysis
agent used by delivery leads and division heads.

CONTEXT: Ingests actuals vs plan, forecasts burn rate, identifies
variance drivers, drafts the narrative for monthly reviews.
Approval gate before distribution.

FORMAT: Output variance table, three recommended actions per
variance, and the monthly narrative.

MVP in Lovable

A dashboard with three tiles (Plan, Actual, Variance), a variance drill-down that lists the top five drivers with dollar impact, an AI-generated narrative pane the lead edits inline, and a "Distribute to Division Head" action that locks the version and logs approval. Start with one business unit, expand after.

5

Sales Approval Workflow Agent

Deliverable Handoff MOT

Copilot Studio
Prompt
Create a prompt that will instruct Claude to act as a Copilot
Studio architect and generate a topic flow for a sales approval
agent.

CONTEXT: Routes deals through pricing, legal, and delivery review
based on deal size, scope, and risk profile. Logs every decision
for audit. Flags policy bypasses.

FORMAT: Output routing rules, approver summary template, audit
log schema, and escalation triggers.
6

CX DNA & Jobs-to-be-Done Role Predictor

Relationship Review MOT

Lovable
Prompt
Create a prompt that will instruct Claude to act as a solution
architect and generate a Lovable build prompt for a workforce
transition agent.

CONTEXT: Maps current roles to CX DNA touchpoints and Jobs-to-be-
Done, predicts new role archetypes aligned to financial performance
and strategic KPIs. Goal is to reduce fear by showing each person
their next role, not their obsolescence.

FORMAT: Output current role, AI-impacted tasks, new role definition,
required skills, and linked KPI contribution.

MVP in Lovable

An employee-facing portal where a person types their current role and sees three panels: "What AI is changing in your work," "Your next role archetype mapped to company KPIs," and "The three skills to build in the next 90 days." Managers see an aggregated view of their team's transition map. This one builds trust. Ship it early.

7

Team Resource Management Agent

Risk Escalation MOT

Copilot Studio
Prompt
Create a prompt that will instruct Claude to act as a prompt
engineer for Copilot Studio and generate a topic flow for a
resource management agent.

CONTEXT: Matches consultant skills, availability, and development
goals to open project roles. Flags bench risk, overallocation,
skill gaps. Manager approves final assignments.

FORMAT: Output matching logic, risk flags, rotation recommendations
for career growth, and approval flow.
8

Client-Side RFP Evaluator

Reverse-the-Lens Exercise

Leadership Exercise
Prompt
Create a prompt that will instruct Claude to act as the client
receiving this RFP — a skeptical procurement lead with a limited
budget and a board that asks hard questions.

TASK: Build an evaluation rubric, score the submitted RFP against
it, and recommend accept, negotiate, or reject.

CONTEXT:
- Our budget ceiling: [INPUT AMOUNT]
- Strategic priorities: [LIST 3-5]
- Must-haves vs nice-to-haves: [LIST]
- Red flags from past vendors: [LIST]

FORMAT: Weighted rubric (criteria, weight, score 1-5, evidence,
comment), total score, three-sentence recommendation, top three
questions to ask the vendor before deciding.
9

Concerned Leader Stress Test

Playing Mental Chess with AI

Leadership Exercise
Prompt
Create a prompt that will instruct Claude to act as a concerned
and critical senior leader using Keith Carter's "Playing Mental
Chess with AI" framework — thinking three moves ahead, challenging
assumptions, protecting the mission over the hype.

TASK: Stress test this AI initiative across stakeholders, ethics,
goals, and risks.

CONTEXT:
- Initiative: [DESCRIBE IN 2-3 SENTENCES]
- Primary sponsor: [ROLE]
- Budget and timeline: [AMOUNT AND DURATION]

FORMAT: Five sections:
1. Stakeholder impact now and five years from now (employees,
   clients, regulators, shareholders, society)
2. Non-negotiable ethics boundaries (minimum five, each with a
   line you will not cross)
3. Stated goals vs actual goals (what leadership says vs what
   the organization truly needs)
4. Twelve risks that could cause this project to fail, ranked by
   probability x impact
5. The three moves you will make in the next 30 days to de-risk
   the initiative before it scales
10

30-60-90 Day Leadership Behavior Change Plan

Executive Coaching

Leadership Exercise
Prompt
Create a prompt that will instruct Claude to act as an executive
coach specializing in AI-era leadership transformation, operating
on the principle that behavior change precedes organizational
change.

TASK: Build a 30-60-90 day plan for me to lead with AI by changing
my own behaviors first.

CONTEXT:
- My current role: [ROLE]
- My team size: [NUMBER]
- My biggest leadership gap right now: [ONE SENTENCE]
- My non-negotiable values: [LIST 3]
- What I want to be known for by day 90: [ONE SENTENCE]

FORMAT: Three-column table (Days 1-30, Days 31-60, Days 61-90)
with five rows:
1. Daily AI practice (what I personally do with AI every day)
2. Visible behavior change (what my team will see me doing differently)
3. Team capability build (what I teach or enable in my team)
4. Decision made at end of phase (go/no-go on a specific initiative)
5. Success signal (how I know this phase worked)

End with: the one behavior I must stop, the one I must start,
the one I must continue.
Pro tip: Examples 8, 9, 10 are leadership exercises, not agent builds. Leaders who skip this step build agents that optimize the wrong thing.
Section 3

20 Starter Prompts

Brief meta-prompts to accelerate exploration. Each trades depth for breadth. The copy button includes the full ready-to-paste prompt with the magic phrase prefix.

Sales & Prospecting

#1

Account research briefs

"research a target account and produce a one-page brief with buying signals, stakeholder map, and opening hypothesis."

Prompt
Create a prompt that will research a target account and produce a one-page brief with buying signals, stakeholder map, and opening hypothesis.
#2

Email sequence drafter

"write personalized multi-touch outreach sequences from a LinkedIn profile and recent company news."

Prompt
Create a prompt that will write personalized multi-touch outreach sequences from a LinkedIn profile and recent company news.
#3

Meeting prep synthesizer

"read the attendee list, past emails, and CRM history and output a 5-minute pre-meeting brief."

Prompt
Create a prompt that will read the attendee list, past emails, and CRM history and output a 5-minute pre-meeting brief.
#4

Win/loss interview analyzer

"process win/loss interview transcripts and output pattern themes across 20+ deals."

Prompt
Create a prompt that will process win/loss interview transcripts and output pattern themes across 20+ deals.
#5

Pricing scenario modeler

"generate three pricing options per deal based on scope, risk, and margin targets."

Prompt
Create a prompt that will generate three pricing options per deal based on scope, risk, and margin targets.

Delivery & Operations

#6

Status report drafter

"draft weekly client status reports from Jira, Teams, and workstream lead inputs."

Prompt
Create a prompt that will draft weekly client status reports from Jira, Teams, and workstream lead inputs.
#7

SOW variance detector

"compare delivered work to signed SOW and flag scope creep weekly."

Prompt
Create a prompt that will compare delivered work to signed SOW and flag scope creep weekly.
#8

Client satisfaction pulse

"read email sentiment and meeting transcripts to produce a weekly relationship health score."

Prompt
Create a prompt that will read email sentiment and meeting transcripts to produce a weekly relationship health score.
#9

Onboarding accelerator

"generate a 30-60-90 plan for new consultants based on role, project, and skill gaps."

Prompt
Create a prompt that will generate a 30-60-90 plan for new consultants based on role, project, and skill gaps.
#10

Meeting minutes summarizer

"turn Teams recordings into decisions, owners, and deadlines within 10 minutes of meeting end."

Prompt
Create a prompt that will turn Teams recordings into decisions, owners, and deadlines within 10 minutes of meeting end.

Friction Reduction & Internal Ops

#11

Expense report assistant

"categorize receipts, apply policy, and draft expense reports for one-click submission."

Prompt
Create a prompt that will categorize receipts, apply policy, and draft expense reports for one-click submission.
#12

Policy lookup bot

"answer HR and procurement policy questions with citations to source documents."

Prompt
Create a prompt that will answer HR and procurement policy questions with citations to source documents.
#13

Travel planner

"book client travel within policy, flag risk zones, and coordinate with client site contacts."

Prompt
Create a prompt that will book client travel within policy, flag risk zones, and coordinate with client site contacts.
#14

IT ticket triage

"classify, route, and draft responses for 80% of Tier-1 IT tickets."

Prompt
Create a prompt that will classify, route, and draft responses for 80% of Tier-1 IT tickets.
#15

Contract redline summarizer

"compare vendor redlines to our standard terms and flag material deviations."

Prompt
Create a prompt that will compare vendor redlines to our standard terms and flag material deviations.

Leadership & Strategy

#16

Board deck drafter

"pull business unit metrics and draft quarterly board slides in our template."

Prompt
Create a prompt that will pull business unit metrics and draft quarterly board slides in our template.
#17

Competitor intel watcher

"monitor 10 named competitors and send a weekly digest of moves that matter."

Prompt
Create a prompt that will monitor 10 named competitors and send a weekly digest of moves that matter.
#18

Partnership opportunity scout

"identify alliance opportunities by cross-referencing our capability gaps with partner strengths."

Prompt
Create a prompt that will identify alliance opportunities by cross-referencing our capability gaps with partner strengths.
#19

Talent pipeline scanner

"surface external hires matching critical skill gaps from LinkedIn and referral networks."

Prompt
Create a prompt that will surface external hires matching critical skill gaps from LinkedIn and referral networks.
#20

Strategic narrative tester

"stress-test a strategy document against five stakeholder personas and surface weak points."

Prompt
Create a prompt that will stress-test a strategy document against five stakeholder personas and surface weak points.
Pro tip: Pick the starter prompt that maps to your biggest weekly time drain. That is the one worth building first. Ambition loses to adoption every time.
Section 4

Intermediate Meta-Prompt Template

Use this once you have built one agent and are ready for production-grade design.

Prompt
Create a prompt that will instruct Claude to act as a senior
solution architect specializing in agentic workflows on [LOVABLE
/ MS COPILOT STUDIO] and generate a production-ready implementation
prompt for an agent addressing this Moment of Truth: [MOT NAME].

CONTEXT:

### Business context
- Primary user: [ROLE, SENIORITY, DAILY VOLUME]
- Job to be done: [FUNCTIONAL + EMOTIONAL + SOCIAL JOB per JTBD]
- Current friction cost: [TIME, REWORK RATE, NPS IMPACT, REVENUE LEAK]
- Downstream process this feeds: [NEXT STEP IN THE WORKFLOW]

### Data & integrations
- Systems of record: [CRM, ERP, PSA, SHAREPOINT, ETC.]
- Data freshness required: [REAL-TIME, DAILY, WEEKLY]
- Authentication model: [SSO, SERVICE ACCOUNT, DELEGATED]
- Data classification: [PUBLIC, INTERNAL, CONFIDENTIAL, REGULATED]

### Agent behavior
- Autonomy level: [SUGGEST / DRAFT / ACT WITH APPROVAL / AUTONOMOUS]
- Reasoning pattern: [RAG, TOOL-USE, MULTI-STEP, REFLECTION]
- Required tools: [SEARCH, CALC, EMAIL, CALENDAR, CUSTOM API]
- Memory: [SESSION, USER-LEVEL, ORG-LEVEL]

### Governance
- Human-in-the-loop checkpoints: [WHERE AND WHY]
- Audit logging: [WHAT GETS RECORDED]
- Failure modes to prevent: [HALLUCINATION, LEAK, POLICY BREACH]
- Red team test cases: [3-5 ADVERSARIAL SCENARIOS]

### Success metrics
- Leading indicators: [ADOPTION, COMPLETION RATE]
- Lagging indicators: [TIME SAVED, QUALITY, REVENUE, NPS]
- Linked strategic KPI: [WHICH BOARD-LEVEL METRIC THIS MOVES]

FORMAT: Full implementation prompt including system prompt, data
schema with field-level definitions, user journey with branch
logic, integration specs, prompt injection defenses, evaluation
rubric, and a 30-day rollout plan with change management touchpoints.
Pro tip: The governance and metrics sections prevent the "cool demo, no adoption" failure mode that kills most internal AI pilots. Fill those out first, not last.
Section 5

Making Agents Agentic (Frontier)

An agent that waits to be invoked is a tool. An agent that runs on triggers is a teammate.

Copilot Studio Workflows (the Frontier tier) lets you schedule agents or fire them on events so the work happens without you asking. This is how you move from "agent" to "agentic."

Three Trigger Patterns to Know

Time-based triggers

The agent runs on a schedule.

  • Every Friday at 4 PM: status report agent drafts the weekly client update
  • Every Monday at 7 AM: battle card agent refreshes on tracked competitors
  • First of every month: budget variance agent drafts the division review narrative

Event-based triggers

The agent fires when something happens in a connected system.

  • New RFP lands in a SharePoint folder: RFP evaluator agent scores it and drafts a go/no-go recommendation
  • Deal enters "pricing review" stage in Salesforce: sales approval agent routes it to the right reviewer
  • Timesheet missing at Friday 5 PM: timesheet agent drafts from calendar and pings the consultant

Threshold triggers

The agent watches a metric and fires when it crosses a line.

  • Bench utilization drops below 70%: resource agent drafts rotation recommendations
  • Project burn rate exceeds 90% of budget: budget agent flags to delivery lead
  • Client sentiment score drops two points week-over-week: relationship agent surfaces risk signals

Meta-Prompt for an Agentic Workflow

Prompt
Create a prompt that will instruct Claude to act as a Copilot
Studio Workflows architect and generate a build spec for an
agentic workflow that triggers [AGENT NAME] automatically.

CONTEXT:
- Trigger type: [TIME / EVENT / THRESHOLD]
- Trigger condition: [SPECIFIC RULE]
- Upstream system: [WHERE THE TRIGGER LIVES]
- Downstream action: [WHAT THE AGENT DOES]
- Human checkpoint: [WHERE A PERSON CONFIRMS BEFORE ACTION]
- Fail-safe: [WHAT HAPPENS IF THE AGENT ERRORS]

FORMAT: Trigger definition, agent invocation logic, approval
routing, audit log schema, and rollback procedure.
Pro tip: Start every agent as on-demand. Watch it run for two weeks. Then add the trigger. Agents that are automated before they are proven become incident reports.
Section 6

Friction Points to Target

Apply these as constraints in every meta-prompt.

Context switching between tools
Manual data aggregation
Approval bottlenecks
Rework from incomplete briefs
Duplicate data entry
Lost institutional knowledge
Delayed escalation
Inconsistent deliverable quality
Pro tip: Name the one friction point that costs your team the most hours per week. That becomes the MOT you design for.
Section 7

Platform Guidance

Choose the surface that matches where the work lives.

Use Lovable when

You need a custom UI, novel workflow, or standalone app experience. Fast iteration, good for consultant-facing tools and client-facing prototypes.

Use MS Copilot Studio when

The agent lives inside Teams, Outlook, or existing Microsoft 365 workflows and needs native enterprise connectors, SSO, and Microsoft Purview governance. Add Workflows (Frontier) when you need triggers.

Decision heuristic: If the user already lives in Teams all day, use Copilot Studio. If you need a net-new workflow with custom logic or a client-facing surface, use Lovable.

Section 8

Your Task (20 minutes)

Map your own client Moments of Truth. Identify which ones are AI-addressable today. That is your redesign starting point.

  1. 1Pick one MOT from your own client relationship
  2. 2Identify the primary user and their Job to be Done
  3. 3Write a meta-prompt using the beginner or intermediate template (start with "Create a prompt that will...")
  4. 4Paste your meta-prompt into Claude or ChatGPT
  5. 5Take the generated detailed prompt into Lovable or Copilot Studio
  6. 6Ship a working prototype this week
  7. 7Add a trigger in Workflows to make it agentic
Pro tip: Demo day two weeks out. The agents that reach production become the case library for the next cohort. Shipped beats perfect.

Ready to redesign your Moments of Truth?

KDA helps teams go from rough ideas to shipped agents — and from agents to agentic systems — in weeks, not quarters.