DeepSeek Tips: How to Use DeepSeek V4 Effectively
Twelve illustrated steps distilled from Parker Prompts' 11-minute V4 breakdown: choose between Instant, Expert, Deep Think, and Vision, chain modes to audit their own output, and fill the million-token context window so answers stop feeling generic.
TL;DR — which DeepSeek mode for which task
- Quick questions and simple summaries → Instant mode (V4 Flash): answers in seconds, no deep reasoning needed.
- Complex coding and multi-step analysis → Expert mode (V4 Pro): better architecture, edge cases covered, cleaner logic.
- High-stakes answers you must verify → Deep Think: shows the full chain of thought before committing to an answer.
- Screenshots, diagrams, whiteboards, handwriting → Vision mode (beta): reads visuals and text together.
Learn 97% of DeepSeek AI in 11 Minutes
Channel:Parker Prompts10:58
Every step below was verified frame-by-frame against this recording; the timestamp on each screenshot deep-links to the exact moment in the video.
Guide text is original to deepseekartifacts.com. Video and screenshots © Parker Prompts — credited and linked as the source material.
The 12 tips, step by step
- 1
Start at chat.deepseek.com — it's free
Sign up with an email and you get both V4 models, all four modes, file uploads, web search, and the full million-token context window with no message limit. The chat opens in Instant mode by default — and that default is why so many first answers feel weak.
The DeepSeek welcome screen with Instant selected beside the DeepThink and Search toggles.Watch at 1:28 - 2
Pick the mode that matches the task
The single biggest mistake is running everything in one mode. Use Instant for quick tasks, Expert for complex tasks, Deep Think when you need to verify the reasoning, and Vision for anything visual. Switching takes one click — and mismatching the mode is the main reason people conclude DeepSeek isn't as good as ChatGPT or Claude.
The video's rule of thumb: quick tasks, complex tasks, verify reasoning — each gets its own mode.Watch at 2:54 - 3
Switch to Expert for work that matters
Expert runs on V4 Pro and is built for deeper analysis: complex coding problems and multi-step reasoning where quality matters more than speed. On a coding problem, Instant returns a working answer; Expert returns one with better architecture, edge-case handling, and cleaner logic.
Expert mode selected in the composer with a dashboard build prompt ready to send.Watch at 3:14 - 4
Make Deep Think show its work
Deep Think uses chain-of-thought reasoning: it lays out its entire thinking process — assumptions considered and discarded included — before committing to the final answer. Watch the reasoning panel and you can catch flawed logic before it becomes a flawed output. This is the mode for debugging and decisions where accuracy beats speed.
A 'Thought for 4 seconds' panel followed by the radius-of-a-circle answer.Watch at 2:14 - 5
Chain Expert and Deep Think in one conversation
Modes chain inside the same conversation. Start a coding problem in Expert to get a working solution, then switch to Deep Think and ask it to audit what was just written. About half the time the second pass catches an edge case or a cleaner approach the first pass missed — two reasoning depths on the same problem without leaving the chat.
Side-by-side passes: Expert's solution on the left, Deep Think's audit on the right.Watch at 3:34 - 6
Feed Vision mode anything visual
Vision (beta) processes screenshots, diagrams, whiteboard photos, even handwritten notes, reading the visual and your text together. It's the newest of the four modes and the only one built for inputs that aren't words.
Screenshots, diagrams, whiteboards, and handwritten notes all funnel into the same composer.Watch at 2:46 - 7
Turn on Search for anything time-sensitive
Click the search icon before sending and V4 searches the web instead of answering from training data, returning linked citations you can verify. News, pricing, market data, product updates: Search on. Everything else: leave it off for the faster training-data answer.
Search toggled on (blue) with a news-style question typed in the composer.Watch at 3:50 - 8
Upload the files nobody else uploads
Hit the paperclip, then add PDFs, code files, or spreadsheets — V4 reads and analyzes them inside the conversation. Ask a 10-page contract for its three biggest risks, or a codebase where the performance bottlenecks are. Answers cite specific sections, and the million-token window holds several large documents at once.
The upload tray showing File.pdf alongside the Code Files and Spreadsheets types.Watch at 4:32 - 9
Stack file + Search + the right mode
The combination almost nobody uses: attach your document, leave Search on, and pick the mode that fits. In the video, a competitor's product page PDF goes in with the question 'What are they doing better than us right now?' — and out comes a sourced comparison, built from the file and the live web together, that would take an hour to assemble by hand.
A competitor PDF attached, Search enabled, and the comparison question typed.Watch at 5:16 - 10
Front-load context before you ask
A million tokens is roughly a year of company documents, a full codebase, or hundreds of research pages. Instead of asking 'How should I improve my marketing strategy?' cold, attach your current strategy, three months of campaign data, and a competitor's annual report first. The same question then comes back with your numbers, your competitors, your metrics — not a generic framework.
Three documents attached before the marketing-strategy question is sent.Watch at 6:32 - 11
Prime the model with a framing message
Before the real question, send a framing message: 'I'm uploading three documents — our product brief, Q1 performance data, and a competitor press release. Read all three and tell me what you notice before I ask anything.' V4 surfaces patterns you didn't ask about and builds a working model of your situation, so the actual question lands on prepared ground.
The framing message telling DeepSeek what the three uploads are and what to do with them.Watch at 7:08 - 12
Stop using 1% of your context window
The average user never loads more than a few paragraphs — about 1% of the window they have available. Front-loading context costs nothing: the chat is free and unlimited. Putting the other 99% to work is the cheapest possible upgrade to your output quality.
1% versus 99%: the gap between a bare question and a loaded conversation.Watch at 7:28