Resources / Working material

Better prompts for consequential decisions.

Compact, ungated resources designed for a room where product, business, design, and engineering need to reach the same decision.

Working brief01

A planning prompt, not a feature template

MVP decision brief

Define the business decision your MVP must improve before debating the size of its backlog.

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Question set02

A system check before a model choice

AI product readiness questions

Frame the job, context, consequence, evaluation, and human role behind a proposed AI feature.

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Conversation guide03

Make the trade-off inspectable

Technical decision conversation guide

A compact structure for architecture, platform, vendor, and build-versus-buy decisions.

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Prompt engineering guide04

AI operating practice

Prompt engineering for product systems

A practical method for writing prompts that produce observable, reviewable work inside product, engineering, AI, and growth workflows.

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Prompt library05

Copy-ready starting points

PodLabsTech prompt library

Grouped, service-aware prompts for product decisions, engineering work, AI systems, and supervised growth operations.

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Agentic AI guide06

From intent to governed action

Agentic AI operating guide

A practical field guide for turning a business goal into an observable, permissioned agentic workflow that people can review and improve.

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AI agents playbook07

Useful agents, clear boundaries

AI agents production playbook

Copy-ready prompts for scoping, designing, evaluating, and operating AI agents across product, engineering, automation, and growth workflows.

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AI context guide08

Build the information layer

AI context engineering and RAG

A practical playbook for structuring context, retrieval, memory, and evaluation so AI systems stay grounded in the right business reality.

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Production AI guide09

Operate AI with evidence

LLMOps and AI observability

A practical operating model for shipping, monitoring, evaluating, securing, and improving LLM-powered products and agents.

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AI architecture guide10

Design for change and recovery

AI product architecture

A practical playbook for shaping APIs, events, idempotent workflows, and runtime boundaries that let AI products evolve safely.

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AI experience guide11

Make adaptive products feel trustworthy

Generative UI and agentic experiences

A practical playbook for designing AI interfaces that adapt to context while keeping state, control, accessibility, and human review visible.

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Glossary12

Clear language for complex systems

Product, LLM & AI glossary

Plain-language definitions for product strategy, AI systems, growth, and the decisions around them.

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A useful next step

Turn a useful resource into a working system.

Bring the decision, constraints, and approval path. We will shape the next practical step across product, engineering, and supervised AI.

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