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AI & Automation

Prompts, workflows, smart helpers

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Speed up an open vision model on edge hardware with LFM2.5-VL-DSpark

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

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Unlock Max Reasoning in Codex for the Hardest Tasks

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

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

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Use OpenRouter Free Models Router for zero-cost model trials

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Run Poolside Laguna XS 2.1 for Local Agentic Coding Tests

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Test OpenRouter Auto Beta for Task-Aware Model Routing

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Run Thinking Machines Inkling through Vercel AI Gateway

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Use this agent design rule before generating more owned code

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

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Generate editable Seedream 5.0 Pro images through Vercel AI Gateway

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

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

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

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

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Your Coding Agent Is About to Get a Whole Team

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

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Use Cloudflare Mythos to Find Real Codebase Bugs with AI Agents

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

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Scrape Changing Websites with Anansi Self-Healing Selectors and MCP

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

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

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

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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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10/28/20265 min

NVIDIA opens Nemotron 3.5 Transcribe weights: one model for transcription, diarization and audio Q&A

NVIDIA released Nemotron 3.5 Transcribe (30B-A4B) as an open-weight checkpoint that transcribes 40 languages, attributes speakers, translates, and answers questions about recordings — with Granary v2 and fine-tuning recipes attached.

10/26/20264 min

OpenAI releases GPT-6.1 Terra at half the API price of its predecessor

OpenAI released GPT-6.1 Terra, a fast mid-tier model for computer use and visual reasoning at $1 per million input tokens, half the API price of GPT-5.6 Terra, now in ChatGPT Work, Codex and the API.

10/23/20265 min

Moonshot releases Kimi K3.1 Pro: a 3T-class open-weight flagship with 1M-token context

Moonshot's new K3.1 series flagship pairs a 1M-token context window and native image input with a 2-3x faster Highspeed variant, live today on Vercel AI Gateway, with open weights promised by November 4.

10/22/20264 min

Uber brings ChatGPT Work to all 30,000 employees as its first company-wide AI agent platform

Uber scaled a 1,000-person pilot of OpenAI's ChatGPT Work agent to its entire global workforce on October 22, 2026, with GPT-6.1 Sol as the default model and Drive, Gmail, Calendar and Slack integrations.