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AI & Automation

Prompts, workflows, smart helpers

Drops

Enable a 1M Context Budget in Codex for GPT-5.6 Sol

Unlock Max Reasoning in Codex for the Hardest Tasks

Explore Claude of Duty: A Browser FPS Built from One Prompt

Run the Kimi K3 Architecture Locally with a 0.18B Test Model

Use OpenRouter Free Models Router for zero-cost model trials

Run Poolside Laguna XS 2.1 for Local Agentic Coding Tests

Test OpenRouter Auto Beta for Task-Aware Model Routing

Run Thinking Machines Inkling through Vercel AI Gateway

Use this agent design rule before generating more owned code

Make Codex SSH and mobile agent sessions less brittle after the July update

Generate editable Seedream 5.0 Pro images through Vercel AI Gateway

Serve new Transformers models through vLLM without waiting for a custom port

Route GPT-5.6 Codex Tasks with OpenAI's AMA Notes

Test LongCat-2.0 before your next long-context coding-agent run

Try GLM-5.2 on a real long-context coding task

Your Coding Agent Is About to Get a Whole Team

Make AI Drafts Sound Human: Stop Slop Flags the Tells Editors Keep Fixing

Use Cloudflare Mythos to Find Real Codebase Bugs with AI Agents

Make Codex Remember the Outcome: A Fast /goal Prompt Pack for Long Tasks

Scrape Changing Websites with Anansi Self-Healing Selectors and MCP

Reset GPT-5.5 Prompts with 6 Short Templates That Beat Bloated Stacks

Fix 4 Expensive LLM Coding Habits with One CLAUDE.md File

AI Won’t Tell You Your Idea Is Bad — Compact Founder Course

Graphify for Codex++ iOS Simulator: direct simulator control inside Codex

Automation Hub

AI Automation Workflows: Agents, Tools and Practical Guides

AI automation is strongest when prompts, tools, APIs and validation steps become repeatable workflows. This hub groups the pieces worth testing.

From prompt to process

Good automation pages explain trigger, tool access, review step and output, not only the model or product name.

Agent-ready use cases

Research, coding, content production, data cleanup and browser tasks are strong candidates when the workflow has clear checkpoints.

Guardrails matter

Human approval, cost limits, source tracking and rollback paths keep AI automation useful instead of fragile.

Which AI workflows should I automate first?

Start with bounded, repeatable tasks such as research summaries, code review checklists, content drafts or data cleanup with a human review step.

When should automation stay manual?

Keep manual review when money, security, legal decisions, credentials, publishing or destructive actions are involved.

Blog

Articles in AI & Automation

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9/20/20264 min

GitHub Copilot adds cost-aware model routing and agent workflows

GitHub Copilot is rolling out cost, quality, and response-time tiers for automatic model selection alongside broader code-review, Dev Container, and agent-session controls.

9/20/20263 min

xAI opens Grok 4.6 on its API with 500K context

xAI's developer release notes now list Grok 4.6 as available on the API, with text and image input, a 500K-token context window, four reasoning-effort levels, and pricing that changes above 200K prompt tokens.

9/20/20264 min

GitHub Copilot sets September 28 defaults for agents, reviews, and billing

GitHub is consolidating Copilot chat and cloud-agent access, changing the default code-review effort to Balanced, and moving Business and Enterprise seat charges earlier in the billing flow.

9/20/20263 min

Vercel adds Z.ai GLM-5.3 FlashX to its AI Gateway

Vercel now exposes Z.ai's GLM-5.3 FlashX through AI Gateway, with a stated serving speed of about 200 tokens per second and built-in routing, usage tracking, and fallbacks.