Your guide to the Agentic AI evolution. Prompting Blueprints offers a curated collection of concepts and tactics for building autonomous AI workflows. Master tool-specific playbooks, backed by structured prompt packs and rigorous evaluations for the latest AI models.
Use this repo as your prompting portfolio & playbook: share highlights on LinkedIn, fork for your team, and adapt patterns to your use cases.
- About the author: speaking, program committee, and research overviews ->
./01-about-author - AI agents: agent architectures, protocols (MCP/A2A), context engineering (incl. dynamic context discovery), open models, and skills playbooks ->
./02-ai-agents - Prompts & patterns: prompt packs and reusable scaffolds (role + constraints + format) ->
./03-prompts-and-patterns - Guides: deep-dive primers and a PDF library (Gemini Prompting Guide 101, Google Startup AI Agents) ->
./04-guides(see./04-guides/overview.md) - Tools: tactics for NotebookLM, Perplexity Comet, Copilot Agents, and more ->
./05-tools - Vibe coding stack: beginner-friendly build stack and toolchain tutorial ->
./04-guides/vibe-coding-tech-stack.md - Models & evaluations: model tips, benchmark overviews, and promptfoo configs ->
./06-models-and-evaluations - Use cases & research: applied workflows, research tutorials, and collaboration playbooks ->
./07-use-cases-and-research - External sources: curated references cited across guides and playbooks ->
./external-sources.md - Changelog: release notes and updates ->
./CHANGELOG.md
Quick links: Author's Speaking · Author's Involvement · Author's Research · AI Agents Overview · Context Engineering · Prompts & Patterns · AI Guides Overview · AI Tools · Models & Evaluations · Use-cases & Research · External Sources · Changelog
Featured additions: Tomas Herda Biography · Dynamic Context Discovery · Open Models for Agentic AI · Vibe Coding Tech Stack
Want more? Browse the publicly accessible Google NotebookLM notebook for extended context, references, and drafts.
- Practitioners & teams who want consistent, high‑quality outputs
- Leads & educators who need examples they can demo and share
- Everyone looking for opinionated, “just‑paste‑this” prompts with structure
- About the author: speaking highlights, program committee roles, and research directions
- AI agent playbooks: architectures, MCP/A2A protocols, context engineering, and skills
- Prompt packs & patterns: role-constraint-format scaffolds and domain blueprints
- Guides library: primers, glossaries, and downloadable PDFs
- Tool playbooks: NotebookLM, Copilot Agents, Perplexity Comet, LangChain, and workflow automations
- Models & evaluations: model-specific tips, benchmark primers, and promptfoo configs
- Use cases & research: applied workflows, tutorials, and experiment playbooks
🎥 Watch the Prompting Blueprints introduction video for a guided tour of the repo purpose.
🧠 View the repository mind map for a visual overview of key folders and resources.
01-about-author/ # maintainer background (speaking, research, program committees)
program-committee/ # program committee & track leadership overview
research/ # research focus areas & collaboration signals
speaking/ # keynote outlines and talk prep
02-ai-agents/ # AI agents playbooks, protocols, and skills
03-prompts-and-patterns/ # prompt packs and pattern catalog
04-guides/ # long-form prompting guides & PDFs
vibe-coding-tech-stack.md # vibe coding stack tutorial and starter workflow
05-tools/ # NotebookLM, Perplexity Comet, Copilot Agents
06-models-and-evaluations/ # model guides, evaluation overviews, and promptfoo configs
assets/ # social previews and supporting images
docs/ # documentation site extras (e.g., licenses)
07-use-cases-and-research/ # applied workflows, research playbooks, and tutorials
website/ # static HTML experiments (e.g., AI toolkit preview)
CHANGELOG.md # updates (Keep a Changelog)
CONTRIBUTING.md # how to contribute
CODE_OF_CONDUCT.md # community expectations
CITATION.cff # how to cite
LICENSE # MIT (code)
docs/LICENSE-CC-BY-4.0.txt # CC BY 4.0 (docs & prompts)
external-sources.md # curated references & attributions
mkdocs.yml # documentation site navigation
agents.md # instructions for AI coding agents working in this repo
Contributions are welcome! Please read CONTRIBUTING.md and follow the Code of Conduct. If you add a new pattern or prompt pack, include:
- Intent (problem it solves)
- Constraints (guardrails)
- Output format (JSON/Markdown schema)
- Example input & output
- Code: MIT — see
LICENSE. - Documentation & non-code content: CC BY 4.0 — see
docs/LICENSE-CC-BY-4.0.txt.
Researchers and educators can cite this repo via CITATION.cff.
@software{herda_prompting_blueprints,
title = {Prompting Blueprints},
author = {Herda, Tomas},
year = {2025},
url = {https://github.com/TomasHer/prompting-blueprints}
}Author: Tomas Herda
Repository social preview image: Image
Explore Tomas Herda’s upcoming appearances, talk topics, and booking details on the dedicated Speaking & Keynotes overview.
For conference organization work - including program committees and track leadership see the Program Committee & Track Leadership overview.
Review ongoing investigations, experiment logs, and calls for collaboration in the Research overview.
Q: Can I use these prompts commercially?
A: Yes. Code is MIT; docs/prompts are CC BY 4.0 (attribution required).
Q: Which models are supported?
A: Patterns are model‑agnostic; guides cover GPT‑5 and Gemini explicitly.
Q: How do I run evaluations without exposing secrets?
A: Use environment variables and a local .env file that is git‑ignored.