Advanced Prompt Engineering: The PB&J Framework
About this course
Most prompts fail because they are written like a casual favor while the user expects consultant-level work, and the model doesn't share the context a colleague would. This course replaces magic words with architecture: a four-pillar system prompt and the PB&J framework (Persona, Briefing, Job), applied to real project management deliverables.
Who this course is for
- Project professionals who get bland, generic output from AI tools
- Practitioners who want reusable prompts for recurring deliverables such as weekly status reports
- People who work with both Claude and GPT and need prompts that hold up on each
What you'll be able to do
- Build a system prompt on four pillars: Identity, Objective, Context, and Constraints
- Assemble a PB&J prompt with a Persona that sets a thinking style, a Briefing that hands over context, and a Job that specifies the exact deliverable
- Create data-driven, task-specific personas tuned with real artifacts from your organization
- Adjust prompts for how Claude and OpenAI models handle system prompts differently
- Iterate prompts like code and track first-draft acceptance, revision cycles, and time to final
Complete the video and knowledge check to earn up to 3.0 PDUs, credited from your recorded learning time.
What you will learn
- Construct a four-pillar system prompt
- Apply the P B and J framework to real deliverables
- Build data-driven personas tuned to your org
PDU credit is your recorded learning time (video plus knowledge check), rounded down to 0.25 PDU and capped at 3.0. How credit works
Course outline
- Why Most Prompts Fail
- The Four Pillar Architecture
- The P B and J Framework
- Data Driven Personas
- Platform Differences
- Worked Example. The Weekly Status Report
1 Watch the course
0% watched (0:00 of 0:26) · recorded time 0:00 · watch 90% to unlock the knowledge check
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2 Pass the knowledge check
Unlocks after you watch 90% of the video.
3 Download your certificate
Unlocks after you pass the knowledge check.
Prefer reading? See the companion article: read it on the blog.