Reliable AI Agents: Design & Workflows | MediarDX with Sahil kumawat

Learn when an agent is useful, then specify tools, evidence, memory, budgets, recovery and evaluation. Follow a bounded research walkthrough that handles missing evidence, conflicts and denied actions without inventing completion.

What you receive: a 31-page PDF, a reflowable EPUB, a browser-readable HTML edition, original offline lab, synthetic input fixtures, practice worksheets, self-check answers and source/licence notes. The book has 13 main chapters plus appendices, a worked walkthrough and a portfolio project.

Who it suits: Learners ready to move from prompting to workflow and agent design.

Format: self-paced written ebook. No recorded video, live class, personal coaching, individual grading, API credit or production deployment is included. Optional third-party tools can cost extra. The included Python lab uses only the standard library and makes no network or model calls.

Independent publication: original MediarDX instruction with credited optional references to freely available upstream resources. Not an official Microsoft, DAIR.AI or advertools product. No endorsement, accreditation, guaranteed employment, earnings, rankings or performance outcome is claimed.