📚 AI Tutorials
30 tutorials. Each solves a specific problem with steps, prompt examples, and tips. From beginner to pro.
How to Use AI Tools to Create Viral Xiaohongshu Graphic Posts: A Complete Workflow
Zero-Trust Agents with Google ADK: Where Security Boundaries Should Live
On August 17, 2026, Google published a zero-trust reference architecture for agents built with Agent Development Kit (ADK). The motivation is straightforward: once an agent can issue refunds, modify databases, execute dynamic code, and call internal APIs, “do not perform dangerous actions” inside a system prompt is no longer a real security boundary. Google’s proposed pattern emphasizes three hard controls: cryptographic identity for state-changing writes, sandboxed execution for generated code, and deterministic semantic gateways that validate business meaning before actions reach production systems. This article translates those ideas into an enterprise architecture.
ChatGPT Sites in Practice: From Prompt to Production Site
ChatGPT Sites is currently in public beta, and OpenAI’s documentation has just been updated with clearer guidance on creation, preview, publishing, sharing, custom domains, and workspace permissions. Sites is more than generating HTML. Users can describe an interactive website or lightweight application inside ChatGPT Work or desktop Codex, review a private preview, save versions, publish a production URL, and control access. Current use cases include dashboards, project trackers, launch calendars, internal portals, calculators, prototypes, and lightweight reports. This guide focuses on a safe production workflow rather than a feature list.
Google Credentio + C2PA: Local Verification for AI Images, Video, Audio, and Documents
On August 13, 2026, Google open-sourced Credentio, a high-performance C++ library for validating C2PA Content Credentials, initially supporting specification versions 2.2 and 2.4. Google says the underlying code already powers nearly 40 conformant C2PA-enabled Google products and has scaled to tens of billions of generated assets across images, video, audio, documents, and other file formats. The most important design feature is local-first validation: media does not need to be uploaded to Google or another remote validation service, reducing privacy, bandwidth, latency, and file-size problems. This article explains how C2PA differs from AI detectors and model watermarks, and provides practical architectures for CMS upload pipelines, digital asset management, desktop applications, and enterprise trust policies.
Google Cloud API Gateway Model Routing: One OpenAI-Compatible Endpoint for Multiple LLMs
Enterprise AI applications increasingly use more than one model. Low-cost models may handle routine support, stronger models may handle reasoning or coding, and open models may serve batch workloads. If every application integrates directly with every provider, credentials, retries, rate limits, model IDs, and cost tracking spread across the codebase. Google Cloud API Gateway now offers Model Routing in Public Preview. It can expose an OpenAI-compatible endpoint and route requests, through OpenAPI 3.x configuration, to Google-hosted Gemini, Claude, or OpenAI OSS-GPT backends. The real value is not calling three models through one API. It is decoupling business code from model vendors.
GitHub Copilot for JetBrains Enterprise Governance: MCP Allowlists, Plugins, and OpenTelemetry
On August 18, 2026, GitHub added enterprise-managed settings to GitHub Copilot for JetBrains. Administrators can now centrally govern plugin enablement, approved plugin marketplaces, MCP server access, OpenTelemetry collection, and permission modes such as Bypass Approvals or Autopilot. This is more significant than a normal IDE update. Once coding agents can edit files, execute commands, invoke MCP tools, and interact with enterprise systems, local developer settings become part of the organization’s security boundary.
Gemini Live API Async Function Calling for Real-Time Voice Agents
One of the biggest usability problems in real-time voice agents is tool latency. If the model needs to query CRM, orders, databases, search, or ticketing systems and every function call blocks the conversation, the user experiences several seconds of silence. Gemini Live API supports asynchronous function calling in its cascaded architecture. A function can be marked `NON_BLOCKING`, allowing the live conversation to continue while the tool executes in the background. This does not mean the model can invent tool-dependent facts. It means developers need explicit task state, timeouts, cancellation, concurrency controls, result correlation, permissions, and idempotency.
OpenAI’s “Defender’s Window”: What Enterprises Should Do Now
On August 17, 2026, OpenAI published “The Defender’s Window,” arguing that frontier AI is beginning to automate meaningful parts of real-world cyber operations. Long-standing weaknesses—software flaws, forgotten permissions, misconfigurations, leaked credentials, and security debt—are becoming cheaper to discover and combine. The same capabilities can help defenders review code, triage alerts, enumerate attack paths, prioritize vulnerability backlogs, generate patches, and conduct investigations. The “defender’s window” is the period in which organizations can use capable AI to improve their defenses before similar capabilities become more broadly available to attackers.
OpenAI Assistants API Shuts Down August 26: Complete Responses API Migration Guide
OpenAI will shut down the Assistants API on August 26, 2026. Applications still using Assistants, Threads, Runs, Run Steps, File Search, or Assistant-based function calling are now inside the final migration window. The Responses API has reached feature parity and is the primary direction for OpenAI agent development, with newer capabilities such as Conversations, MCP, computer use, and deep research. This guide covers concept mapping, state migration, tool loops, prompt versioning, file search, shadow traffic, rollout, observability, and rollback.
AI Assistant Memory Architecture
AI memory is not permanent storage of every conversation. Short-term context, preferences, task state, episodic records, and semantic knowledge require different storage, retrieval, update, and deletion policies.
Building a Personal AI Knowledge System
The most common personal knowledge problem is growing collections that are never reused. This guide covers capture, curation, sources, structure, summaries, links, retrieval, review, and deletion.
OCR and Document AI Architecture
Enterprise documents include native PDFs, scans, images, tables, handwriting, and Office files. A single OCR path cannot handle them all. This guide defines classification, routing, multiple parsers, quality checks, and a unified representation.
AI Invoice and Document Extraction Pipeline
Invoice, order, and receipt automation requires more than OCR text. It needs layout, schemas, validation, duplicate detection, confidence, human review, and auditing.
AI Music Copyright Risk Guide
AI music rights involve platform terms, user inputs, training disputes, lyrics, voice likeness, similarity, regional law, and distribution-platform rules.
Commercial AI Music Production Workflow
Commercial AI music production cannot stop at generation and download. Teams need a complete process for briefs, style references, lyrics, versions, mixing, review, terms, and rights evidence.
Voice Cloning Compliance Guide
Voice is a highly identifying personal characteristic. Enterprise cloning requires consent scope, identity verification, use restrictions, disclosure, storage, third-party access, and withdrawal.
AI Podcast Production Workflow
AI can accelerate podcast research, scripting, voice, cleanup, chapters, and distribution, but it cannot guarantee facts, pacing, or rights.
Multitenant AI SaaS Architecture
Multitenancy in AI SaaS extends beyond database rows to vector indexes, object storage, caches, prompts, tool credentials, model quotas, and logs.
Building an AI SaaS MVP Backend
Even an AI SaaS MVP must handle users, tenants, model credentials, streaming, usage, quotas, and retries correctly. This guide defines a minimal but extensible backend.
Deploying Local LLMs on Office PCs
Running local models on office PCs requires matching model size and quantization to RAM, VRAM, CPU, operating system, and tasks rather than chasing parameter count.
AI Portal Authorization: SSO, RBAC, Multitenancy, and Data Isolation
An AI portal connects models, knowledge, and tools. Authorization failures can leak data across departments or enable unauthorized actions. This guide defines layered identity, role, attribute, resource, tenant, retrieval, and tool controls.
Deploying an Internal Enterprise AI Portal
An enterprise AI portal needs a unified entrance, but the chat UI should not connect directly to model providers. This guide covers identity, gateways, knowledge permissions, quotas, auditing, safety, rollout, and adoption.
Source Credibility Scoring for AI Research
AI search often returns many citations, but citation count does not equal evidence quality. This guide scores source authority, independence, freshness, applicability, and claim support.
AI Research Report Workflow
A high-quality research report is not a one-shot generation. It begins with a decision, decomposes questions, maps sources, cross-validates evidence, and separates fact, inference, and recommendation.
How to Analyze a 1,000-Page Document with AI
Uploading a thousand-page report, standard, tender, or contract collection and asking broad questions often creates omissions and hallucinations. This guide uses hierarchical analysis, evidence indexes, and human verification.
AI Video Cost and Quality Control
AI video platforms charge by credits, generations, or seconds, but real cost includes failed attempts, references, voice, editing, review, and rework. This guide defines cost per usable second and per publishable asset.
AI Short-Video Production Workflow
A single prompt rarely produces a reliable finished video. A better process separates script, shot list, visual assets, generation, voice, editing, and quality control.
AI Brand Visual Production SOP
The main challenge in AI brand image production is not prompt writing. It is consistency across people, models, and batches. This guide defines brand assets, prompt templates, references, character rules, product constraints, review, and versioning.
Enterprise AI Knowledge Governance
When enterprise knowledge is connected to AI, duplicate, stale, conflicting, and unauthorized content becomes amplified. This guide defines ownership, authority, versioning, validity, permissions, citations, lineage, and deletion.
AI Meeting Notes Workflow: From Transcription to Action
The value of AI meeting notes is not a polished summary. It is the accurate extraction of decisions, actions, owners, deadlines, and unresolved issues, followed by synchronization into the project system.