Books / Prompt Systems
Handbook · First edition 2026
Prompt Systems
Stop guessing at prompts. Design them so the model can’t misunderstand the job.
Robert Ssebambulidde
When AI output fails at work, it’s usually not the model — it’s an underspecified ask. This book shows how to treat prompting like system design: clear intent, the right context, hard constraints, a defined output, and a way to check the result. Thirty chapters and appendices you can use the same day.
What you get
Pay once (Mobile Money or card). Download your book as soon as you’re back from checkout.
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The complete book
30 chapters plus templates, an audit checklist, glossary, model notes, and a workbook.
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Instant download
Your download link appears after payment (2 downloads within 48 hours). Misplaced it? Use download recovery while the window is open.
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Model-agnostic
Works with GPT, Claude, Gemini, and the next model you adopt — durable principles, not one-week tip lists.
Chapters
Thirty chapters. Each one is built to change how you write the next prompt.
I · Foundations
What LLMs Actually Do
So you stop treating the model like a search box
Why Prompts Fail
Name the failure modes before you ship
The Prompt Systems Loop
A repeatable design cycle you can reuse
Prompting vs Fine-Tuning vs RAG vs Agents
Pick the right lever for the job
II · Prompt Architecture
Anatomy of a Strong Prompt
The pieces every reliable prompt needs
System, Developer, and User Messages
Put instructions where they stick
Delimiters, Sections, and Order
Structure the ask so nothing gets lost
Zero-Shot, Few-Shot, and Example Quality
Teach with examples that actually help
Output Contracts and Structured Responses
Get formats you can trust and parse
Style, Tone, and Brand Voice
Keep the voice without losing accuracy
III · Reasoning & Reliability
Plans, Chain-of-Thought, and Critique
Make hard tasks more reliable
Self-Check, Debate, and Second Passes
Catch errors before the user does
Hallucinations
Detect, reduce, and refuse when needed
Prompt Injection and Untrusted Input
Defend prompts that touch the outside world
Uncertainty, Citations, and “I Don’t Know”
Get honesty instead of confident fiction
IV · Context Engineering
Prompt vs Memory vs Tools
Decide what belongs where
RAG Prompting That Cites Sources
Ground answers in your docs
Long Context Without Losing the Middle
Keep the important parts visible
Multimodal Prompts
Use images, PDFs, and screenshots on purpose
V · From Chat to Systems
Prompt Chaining and Workflows
Turn one chat into a pipeline
Tools, Function Calling, and Agent Loops
Wire prompts into real actions
Versioning Prompts Like Code
Change prompts without breaking production
Evaluation
Golden sets, rubrics, and regression you can run again
Cost, Latency, Caching, and Routing
Ship without blowing the budget
Shipping
APIs, UX, and human-in-the-loop that fit real products
VI · Domain Playbooks
Writing and Marketing
Briefs and drafts that stay on-brand
Coding and Code Review
Prompts that help without inventing APIs
Customer Support and Operations
Safer answers under policy constraints
Research and Analysis
Structured findings you can defend
Education and Training
Lessons and feedback that teach, not fluff
Appendices — Templates, audit checklist, glossary, model notes, workbook — ready to use the same day.
Who it’s for
For builders and API teams whose prompts have to survive production. For PMs and ops leads who own AI workflows. For writers, marketers, and educators who want a repeatable method — not another list of magic phrases.
Buy the book
One payment. Yours to keep.
First edition, 2026 · Published via SamaBrains