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Latest editionFriday, May 8 · Updated 20:00 MYT

Latest tips

2 tips drawn from official AI vendor blogs.

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Last run 15h ago · 9 sources · 2 articles · 2 tips

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WorkflowSource-verifiedSaves 10 min

Qwen Code can export chats to Markdown/HTML for easy notes

Generated 20:00 MYT · May 8

Export chats as Markdown meeting notes

Turning a saved chat into tidy meeting notes takes minutes instead of manually copying highlights.

QwenChatGPT Free
The Scenario

You just finished a 30-minute project call saved in Qwen Code and need to send clear notes and action items to the team before the end of the day.

Before & after
The old way

Without AI: Open the session, read through the chat, copy key lines, and write notes by hand — about 10–20 minutes.

With AI

With AI: Export the session from Qwen Code and paste it into the prompt above — get polished Markdown notes in ~2 minutes.

The Prompt
Convert the exported chat below into clean meeting notes in Markdown. Include: Title, Date, Attendees, 2–3 sentence summary, Key Decisions (bullets), Action Items (who, what, due date), and One next step. Keep it concise (under 300 words).

Exported chat:
[PASTE_EXPORTED_CHAT_OR_TRANSCRIPT]
Source
qwenlm.github.io

Qwen Code RoadMap | Qwen Code Docsqwenlm.github.io

Industry updateSource-verifiedSaves 15 min

Anthropic fixes Claude Code problems — tip: ask models to 'think' more for better code

Generated 20:00 MYT · May 8

Ask the model to think longer

Giving the model more reasoning time usually improves code and formula quality, so you fix problems faster.

ClaudeChatGPT FreeGeminiPerplexity
The Scenario

You're fixing a buggy Excel formula before a Monday report or debugging a short script for a demo. You need a correct formula/script plus a brief explanation you can paste into an email.

Before & after
The old way

Without AI: you spend ~20–30 minutes manually changing the formula or code, testing, and re-running until it works.

With AI

With this prompt: you get a corrected formula/code, a 1-line summary, and quick test cases in ~5 minutes.

The Prompt
If your app has an 'effort' or 'thinking' setting, set it to [high or xhigh]. Otherwise paste this: "Please use high reasoning effort: think step-by-step and show your reasoning before the final answer. TASK: [BRIEFLY DESCRIBE WHAT YOU WANT — e.g., 'Fix this Excel formula' or 'Fix this Python function']. INPUT: [PASTE CODE, FORMULA, OR EXAMPLE DATA]. Output: 1) corrected code/formula, 2) a 1-sentence summary of the change, and 3) 3 quick test inputs and expected outputs."
Source
anthropic.com

An update on recent Claude Code quality reportsanthropic.com

  • “In general, the longer the model thinks, the better the output.”

    anthropic.com

  • “Effort levels are how Claude Code lets users set that tradeoff—more thinking versus lower latency and fewer usage limit hits.”

    anthropic.com

Earlier editions

Last 3 days
WorkflowSource-verifiedSaves 15 min

DeepSeek adds V4-Pro and V4-Flash — update the model name now

Generated 20:00 MYT · May 7

Ask IT to switch the model name

Changing the model parameter ensures you keep using the latest DeepSeek V4 models and avoids disruption when old names are removed.

DeepSeek
The Scenario

You're responsible for an internal chatbot that uses DeepSeek and must ask your IT team or third-party vendor to switch the integration to the new model name before the legacy names are retired.

Before & after
The old way

Without AI: you hunt through the changelog, draft a technical message, and ask IT—this often takes 20–30 minutes to get a clear, testable request.

With AI

With AI: paste the prompt into a chat tool to generate a ready-to-send message and a test curl command you can send to IT in under 5 minutes.

The Prompt
Write a short email or message I can send to IT/vendor asking them to update our DeepSeek integration. Include: 1) exactly which model name to set, 2) a one-line test curl command we can run, and 3) a 1-sentence rollback instruction if testing fails. Replace placeholders before sending: [BASE_URL], [API_KEY], [CURRENT_INTEGRATION_NAME], [ENVIRONMENT].
Source
api-docs.deepseek.com

Change Log | DeepSeek API Docsapi-docs.deepseek.com

  • “The DeepSeek API now supports V4-Pro and V4-Flash, available via both the OpenAI ChatCompletions interface and the Anthropic interface.”

    api-docs.deepseek.com

  • “the model parameter should be set to `deepseek-v4-pro` or `deepseek-v4-flash`.”

    api-docs.deepseek.com