Playbooks
Tutorials
Long-form guides optimized for engineers shipping GenAI features responsibly.
11 min read
Evaluate Sarvam 105B for Indic Language RAG
Build a practical evaluation loop for Indic and code-mixed RAG with Sarvam 105B: corpus design, chat API checks, 30B routing, and comparison against your quality bar.
12 min read
Build a Local Agent with Muse Glimmer 30B
Go beyond loading weights: design a local Muse Glimmer agent with tool permissions, failure recovery, multimodal inputs, and a safety checklist—after you can run the GGUF.
14 min read
Local Coding Model Bake-off: Muse Glimmer 30B vs Qwen3.6-27B
Run a fair local bake-off between Muse Glimmer 30B and Qwen3.6-27B for coding agents: hardware envelopes, shared tasks, safety gates, and when to pick each model.
9 min read
Choose Daybreak Blue or Red: GPT-5.6 Sol vs GPT-5.6-Cyber
A decision checklist for OpenAI Daybreak Blue (GPT-5.6 Sol) versus Daybreak Red (GPT-5.6-Cyber): access tiers, approved scope, governance, and when not to escalate.
10 min read
Run Muse Glimmer 30B Locally with llama.cpp
Download Meta's official Muse Glimmer GGUF artifacts, choose a 24 GB or 32 GB quantization, add image input, and validate a local agent safely.
9 min read
Run Stable Diffusion XL with Diffusers
Run the SDXL 1.0 base checkpoint with Diffusers, add the optional refiner, manage constrained GPU memory, and benchmark the exact pipeline safely.
10 min read
Amazon Bedrock Converse API with Boto3
Build a production-ready Amazon Bedrock chat integration with Converse and ConverseStream, IAM permissions, model IDs, retries, and observability.
11 min read
Build Indian-Language LLM Apps with Sarvam AI
A practical guide to choosing Sarvam 30B vs Sarvam 105B, handling code-mixed Indian-language input, and evaluating Sarvam LLMs for production apps.
9 min read
Structured Outputs vs JSON Mode in Production
When to use Structured Outputs instead of JSON mode, and how to validate schema-constrained model responses in production workflows.
10 min read
Computer-Use Agent Sandboxing Checklist
A production checklist for running computer-use agents in isolated desktops or browsers with safer permissions and approval gates.
8 min read
Prompt Caching for Agent Workflows
How to use prompt caching to reduce latency and cost when agents reuse long system prompts, tools, documents, and examples.
10 min read
A2A vs MCP for Agent Integrations
A clear comparison of Agent2Agent (A2A) and Model Context Protocol (MCP), including when to use each in multi-agent systems.
9 min read
Claude XML Tags for Long-Context Prompts
How to use Claude XML tags to structure instructions, examples, documents, sources, and user input in long-context prompts.
11 min read
Agentjacking Defense Checklist for AI Agents
A practical checklist for defending AI agents against agentjacking, indirect prompt injection, unsafe tool calls, and computer-use hijacking.
15 min read
Implementing Planner-Executor Loops and Failure Recovery
This tutorial covers the implementation of planner-executor loops in AI systems, focusing on failure recovery strategies. Prerequisites include familiarity with AI workflows and basic programming skills.
16 min read
Comparing Offline vs Online Evaluation Frequency for AI Models in Healthcare
This tutorial explores the trade-offs between offline and online evaluation frequencies for AI models used in healthcare applications. Prerequisites include knowledge of AI model evaluation metrics and healthcare domain specifics.
14 min read
Enhancing Observability with Traces for LLM and Tool Spans in Data Pipelines
This tutorial focuses on enhancing observability in data pipelines that utilize large language models (LLMs) by implementing tracing for both LLM and tool spans. Prerequisites include familiarity with observability concepts and experience with LLMs.
18 min read
Implementing Planner-Executor Loops with Failure Recovery in AI Systems
This tutorial explains how to design and implement planner-executor loops in AI systems, including strategies for failure recovery. Prerequisites include knowledge of AI workflows and basic programming skills.
12 min read
Establishing SLI/SLO for Generative AI Endpoints in Customer Support
This tutorial guides you through setting up Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for generative AI endpoints used in customer support scenarios. Prerequisites include familiarity with service metrics and basic knowledge of AI endpoint operations.
15 min read
Implementing Prompt Injection Defenses in Multi-Tenant SaaS Applications
This tutorial covers how to implement effective defenses against prompt injection attacks in multi-tenant SaaS applications, focusing on security measures and user isolation techniques. Prerequisites include a basic understanding of multi-tenant architectures and security best practices.
12 min read
Synthetic Data Generation for Classifier Fine-Tunes in Legal AI Applications
This tutorial provides a comprehensive guide to generating synthetic data for training classifiers in legal AI applications, focusing on improving model performance and reducing bias. Prerequisites include knowledge of machine learning and legal domain concepts.
16 min read
Quantization Impact on Retrieval Quality in Financial Services
This tutorial examines the effects of quantization on retrieval quality in financial data systems. Prerequisites include knowledge of machine learning and data retrieval concepts.
18 min read
Hybrid Search: BM25 + Dense Re-Ranking for Academic Research
This tutorial explores the integration of BM25 and dense re-ranking for enhancing academic search engines. Familiarity with information retrieval concepts is required.
15 min read
Cross-Encoder Re-Rankers at Scale for E-commerce Personalization
This tutorial covers the implementation of cross-encoder re-rankers to improve product recommendations in e-commerce platforms. Prerequisites include familiarity with machine learning concepts and access to a dataset of product interactions.