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Military & Defense Executives
Prompting & Tool Literacy for Leaders

Prompting & Tool Literacy for Leaders

This section prepares senior leaders, program managers, engineers, and contracting professionals to use modern AI tools responsibly and effectively. Participants learn how to frame requests that produce reliable outputs, structure reviews that catch errors early, adapt everyday workflows without breaking policy, and recognize when to defer to human expertise. Emphasis is on practical prompting patterns, tool selection in agency environments, confidentiality and records considerations, and decision‑ready formats, so teams can move from ad‑hoc experimentation to disciplined, auditable use of AI across VA and defense contexts.

Aligned with VA Ethical Principles and NIST AI RMF; delivered live, virtual, and Section 508–compliant with CLP certificates available.

Outcomes You Can Expect

You will learn to:

Write prompts that consistently yield decision‑ready briefs, summaries, and options analyses in clear, auditable formats.
Apply a simple request structure (goal, audience, constraints, sources, format, review rubric) that reduces rework.
Distinguish safe vs. unsafe use cases; protect sensitive, procurement‑related, or personally identifiable information.
Evaluate tool outputs with lightweight QA checklists for factual accuracy, policy alignment, and tone.
Integrate AI into everyday workflows (market research, technical scoping, meeting prep, risk scans) without creating new bottlenecks.
Use agency‑approved tools effectively (e.g., retrieval, document chat, code/excel helpers) and know their limits.
Convert messy drafts into clear memos, performance work statement elements, and briefing materials.
Recognize failure patterns (hallucination, overconfidence, scope drift) and apply corrective prompts or stop‑rules.
Build a short “prompt playbook” for your team with reusable templates and review steps.

Outcomes You Can Expect

You will learn to:

Write prompts that consistently yield decision‑ready briefs, summaries, and options analyses in clear, auditable formats.
Apply a simple request structure (goal, audience, constraints, sources, format, review rubric) that reduces rework.
Distinguish safe vs. unsafe use cases; protect sensitive, procurement‑related, or personally identifiable information.
Evaluate tool outputs with lightweight QA checklists for factual accuracy, policy alignment, and tone.
Integrate AI into everyday workflows (market research, technical scoping, meeting prep, risk scans) without creating new bottlenecks.
Use agency‑approved tools effectively (e.g., retrieval, document chat, code/excel helpers) and know their limits.
Convert messy drafts into clear memos, performance work statement elements, and briefing materials.
Recognize failure patterns (hallucination, overconfidence, scope drift) and apply corrective prompts or stop‑rules.
Build a short “prompt playbook” for your team with reusable templates and review steps.

Instruction Modes Available

Self-Paced - Learn Independently with model + human support
Live Intensive - Instructor-led sessions for team or group tracks
Enterprise Custom - Full Design = White Label curriculum for orgs
Train the Trainer - Appoint an internal lead, we do the rest
On-Site / Private Workshop - We come to you. Tailored and Immersive

Prompting & Tool Literacy for Leaders

Using and Prompting LLMs Effectively
Learn the core patterns that make prompts work—so outputs are accurate, relevant, and ready to brief.
🟤The request frame: objective, audience, constraints, sources, format, and review rubric

🟤Context packing without oversharing: what to include, what to omit

🟤Structured outputs: tables, checklists, one‑pagers, options with pros/cons

🟤Citations and evidence requests; source confidence language that avoids false certainty

🟤Error patterns and fixes: ambiguity, leading questions, scope creep, style drift

🟤“Show your work” without sensitive internals: audit‑friendly reasoning summaries

🟤Micro‑templates for common tasks (exec brief, risk scan, email, meeting notes)

🟤Quick practice: rewrite weak prompts into strong ones

Prompt Engineering for Procurement and Engineering Impact
Use AI to accelerate market research and technical clarity while protecting procurement integrity and engineering rigor.
🟤Market research prompts that surface vendor capabilities without disclosing acquisition‑sensitive details

🟤Draft support for PWS/QASP/IGCE elements: structure and language shaping, not policy decisions

🟤Engineering prompts: requirement decomposition, interface assumptions, test points, acceptance criteria

🟤Red‑flag detection: vague specs, vendor‑locked language, unverifiable claims

🟤Evidence requests and cross‑checks: ask for standards, references, and testable metrics

🟤Records and confidentiality awareness: handling CUI/FOUO, pre‑solicitation boundaries, approval gates

🟤Review workflows: human‑in‑the‑loop edits, change logs, and version control

🟤Template pack: market scan, options analysis, evaluation factors, technical risk register

Workflow Adaptation with GenAI
Map AI to daily work so teams save time ethically—without changing what must remain human.
🟤Identify candidates for assistance: synthesis, first‑drafting, formatting, extraction

🟤Document chat and retrieval: using approved repositories; avoiding data leakage

🟤Meeting support: agenda design, question banks, decision capture, action parsing

🟤Spreadsheet and code helpers: safe transformations, unit checks, and audit trails

🟤Hand‑off patterns: when and how to move from AI draft to human edit to final

🟤Role‑based playbooks: leader, PM, 1102, 0801/0854 engineer

🟤Metrics that matter: quality and cycle‑time signals (not vanity counts)

🟤Change management: small pilots, feedback loops, and permissioning

How to Talk to the Tools, and Know When Not To
Develop a leadership “talk track” for AI use, and clear stop‑rules when tools should not be used.
🟤Plain‑language request styles that keep tools on brief

🟤Calibrating tone and register for external vs. internal audiences

🟤Asking for risks, counter‑arguments, and second opinions

🟤When to stop: sensitive data, pre‑solicitation content, protected health info, legal advice, or unclear authority

🟤Human judgment first: subject‑matter escalation, SME reviews, and policy checks

🟤Bias and fairness awareness: prompts that invite diverse sources and dissenting views

🟤Escalation templates: “pause, verify, decide” steps for ambiguous outputs

🟤Team norms: acceptable uses, record‑keeping, and feedback etiquette

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Military & Defense ExecutivesPrompting & Tool Literacy for Leaders

Prompting & Tool Literacy for Leaders

Outcomes You Can Expect

You will learn to:

Write prompts that consistently yield decision‑ready briefs, summaries, and options analyses in clear, auditable formats.

Apply a simple request structure (goal, audience, constraints, sources, format, review rubric) that reduces rework.

Distinguish safe vs. unsafe use cases; protect sensitive, procurement‑related, or personally identifiable information.

Evaluate tool outputs with lightweight QA checklists for factual accuracy, policy alignment, and tone.

Integrate AI into everyday workflows (market research, technical scoping, meeting prep, risk scans) without creating new bottlenecks.

Use agency‑approved tools effectively (e.g., retrieval, document chat, code/excel helpers) and know their limits.

Convert messy drafts into clear memos, performance work statement elements, and briefing materials.

Recognize failure patterns (hallucination, overconfidence, scope drift) and apply corrective prompts or stop‑rules.

Build a short “prompt playbook” for your team with reusable templates and review steps.

Outcomes You Can Expect

You will learn to:

Write prompts that consistently yield decision‑ready briefs, summaries, and options analyses in clear, auditable formats.

Apply a simple request structure (goal, audience, constraints, sources, format, review rubric) that reduces rework.

Distinguish safe vs. unsafe use cases; protect sensitive, procurement‑related, or personally identifiable information.

Evaluate tool outputs with lightweight QA checklists for factual accuracy, policy alignment, and tone.

Integrate AI into everyday workflows (market research, technical scoping, meeting prep, risk scans) without creating new bottlenecks.

Use agency‑approved tools effectively (e.g., retrieval, document chat, code/excel helpers) and know their limits.

Convert messy drafts into clear memos, performance work statement elements, and briefing materials.

Recognize failure patterns (hallucination, overconfidence, scope drift) and apply corrective prompts or stop‑rules.

Build a short “prompt playbook” for your team with reusable templates and review steps.

Instruction Modes Available

Prompting & Tool Literacy for Leaders

Using and Prompting LLMs EffectivelyLearn the core patterns that make prompts work—so outputs are accurate, relevant, and ready to brief.🟤The request frame: objective, audience, constraints, sources, format, and review rubric

🟤Context packing without oversharing: what to include, what to omit

🟤Structured outputs: tables, checklists, one‑pagers, options with pros/cons

🟤Quick practice: rewrite weak prompts into strong ones

Prompt Engineering for Procurement and Engineering ImpactUse AI to accelerate market research and technical clarity while protecting procurement integrity and engineering rigor. 🟤Market research prompts that surface vendor capabilities without disclosing acquisition‑sensitive details

🟤Draft support for PWS/QASP/IGCE elements: structure and language shaping, not policy decisions

🟤Engineering prompts: requirement decomposition, interface assumptions, test points, acceptance criteria

🟤Red‑flag detection: vague specs, vendor‑locked language, unverifiable claims

🟤Evidence requests and cross‑checks: ask for standards, references, and testable metrics🟤Records and confidentiality awareness: handling CUI/FOUO, pre‑solicitation boundaries, approval gates

🟤Review workflows: human‑in‑the‑loop edits, change logs, and version control

🟤Template pack: market scan, options analysis, evaluation factors, technical risk register

Workflow Adaptation with GenAIMap AI to daily work so teams save time ethically—without changing what must remain human.🟤Identify candidates for assistance: synthesis, first‑drafting, formatting, extraction

🟤Document chat and retrieval: using approved repositories; avoiding data leakage

🟤Meeting support: agenda design, question banks, decision capture, action parsing

🟤Spreadsheet and code helpers: safe transformations, unit checks, and audit trails

🟤Hand‑off patterns: when and how to move from AI draft to human edit to final🟤Role‑based playbooks: leader, PM, 1102, 0801/0854 engineer

🟤Metrics that matter: quality and cycle‑time signals (not vanity counts)🟤Change management: small pilots, feedback loops, and permissioning

How to Talk to the Tools, and Know When Not ToDevelop a leadership “talk track” for AI use, and clear stop‑rules when tools should not be used.🟤Plain‑language request styles that keep tools on brief

🟤Calibrating tone and register for external vs. internal audiences

🟤Asking for risks, counter‑arguments, and second opinions

Military & Defense Executives
Prompting & Tool Literacy for Leaders

Using and Prompting LLMs Effectively
Learn the core patterns that make prompts work—so outputs are accurate, relevant, and ready to brief.
🟤The request frame: objective, audience, constraints, sources, format, and review rubric

Prompt Engineering for Procurement and Engineering Impact
Use AI to accelerate market research and technical clarity while protecting procurement integrity and engineering rigor.
🟤Market research prompts that surface vendor capabilities without disclosing acquisition‑sensitive details

🟤Evidence requests and cross‑checks: ask for standards, references, and testable metrics

🟤Records and confidentiality awareness: handling CUI/FOUO, pre‑solicitation boundaries, approval gates

Workflow Adaptation with GenAI
Map AI to daily work so teams save time ethically—without changing what must remain human.
🟤Identify candidates for assistance: synthesis, first‑drafting, formatting, extraction

🟤Hand‑off patterns: when and how to move from AI draft to human edit to final

🟤Role‑based playbooks: leader, PM, 1102, 0801/0854 engineer

🟤Metrics that matter: quality and cycle‑time signals (not vanity counts)

🟤Change management: small pilots, feedback loops, and permissioning

How to Talk to the Tools, and Know When Not To
Develop a leadership “talk track” for AI use, and clear stop‑rules when tools should not be used.
🟤Plain‑language request styles that keep tools on brief