DeepSeek vs Gemini 3.0 — Full Guide & Tutorial to DeepSeek V3.2

[00:00] You're paying $20 a month for Gemini or

[00:03] Chad GPT. Meanwhile, there's a free AI

[00:06] model that just hit 96% on the toughest

[00:09] math benchmark in the world, matches

[00:12] GPT5 in reasoning, and won gold medals

[00:15] at international coding competitions.

[00:17] And I'm willing to bet most of you have

[00:19] never even tried it. It's called

[00:21] Deepseek V3.2. It dropped December 1st,

[00:24] completely free, completely open source,

[00:26] and it's shockingly good. Most people

[00:28] forgot Deepseek even exists. That's a

[00:30] mistake because in the next 20 minutes,

[00:33] I'm going to show you how to use this

[00:35] thing for real work, writing, research,

[00:37] coding, data analysis, all without

[00:40] touching a single line of code. You'll

[00:42] see which version to use when thinking

[00:44] mode actually matters and whether you

[00:46] can finally ditch your Chat GPT or

[00:49] Gemini subscription. So, let's go. So,

[00:51] here's the situation. Back in January,

[00:53] Deepseek made headlines with their R1

[00:55] model. cheap to train, open source,

[00:57] performed like the big boys. Then

[00:59] everyone moved on. Open AAI launched

[01:02] GPT5. Google dropped Gemini 3 Pro. The

[01:06] hype cycle kept spinning and Deepseek

[01:08] just kept building. On December 1st,

[01:10] 2025, they quietly released version 3.2

[01:14] and the benchmarks are wild. 96% on the

[01:18] American Invitational Mathematics

[01:20] Examination. That's M, one of the

[01:22] hardest math test on the planet. For

[01:24] context, GPT5 High scored 94.6. Deepseek

[01:28] beat it. On the Harvard MIT math

[01:30] tournament, Deepseek hit 99.2%.

[01:33] Gemini 3 Pro scored 97.5.

[01:36] Again, Deep Seek wins. But here's the

[01:39] thing. This isn't just one model.

[01:41] Deepseek V3.2 comes in two flavors.

[01:44] Standard V3.2, which is your everyday

[01:47] workhorse. Fast, reliable GPT5 level

[01:51] performance. Think of it as your Chad

[01:53] GBT replacement. Then there's V3.2

[01:56] Speciial. And Special is the beast.

[01:58] Maxed out reasoning, deep chain of

[02:01] thought. This thing won gold medals at

[02:03] the International Mathematical Olympiad,

[02:06] the International Olympiad in

[02:07] Informatics, second place at the ICPC

[02:10] World Finals. We're talking elite

[02:12] competition level AI. And here's what

[02:14] makes this release different. Deep Seek

[02:16] V3.2 2 is the first model to integrate

[02:20] thinking directly into tool use. Most AI

[02:23] models lose their train of thought every

[02:25] time they call an external tool. They

[02:27] have to restart reasoning from scratch.

[02:29] Deepseek preserves the reasoning trace

[02:32] across multiple tool calls. That means

[02:34] smoother workflows, better agent

[02:36] performance, and way more reliable

[02:38] multi-step problem solving. Now, there

[02:40] is one catch with special. It's API only

[02:43] right now and that API endpoint expires

[02:46] December 15th, 2025. Why? Because it's

[02:49] token hungry. To solve one code forces

[02:52] problem, Special uses 77,000 tokens.

[02:55] Gemini uses 22,000. The inference costs

[02:58] are insane. So, Deep Seek is treating

[03:00] Special as a research preview. After

[03:02] December 15th, they'll likely roll it

[03:05] into a more efficient production version

[03:07] or just keep the standard model as the

[03:09] main offering. But the standard V3.2 too

[03:12] that's available right now free on the

[03:14] web on mobile open source under an MIT

[03:17] license no credit card no limits and it

[03:20] performs at GPT5 level this isn't a toy

[03:23] this is production ready AI let me break

[03:26] down the two models so you know which

[03:27] one to use standard V3.2 2. This is the

[03:30] daily driver. It scored 93.1% on Emmy

[03:34] 2025. Code forces rating of 2386.

[03:38] That puts it in the top 1% of

[03:40] competitive programmers globally. It's

[03:42] fast, it handles tool use, and it's free

[03:45] via the web interface at

[03:46] chat.deseek.com.

[03:48] Use this for writing, brainstorming,

[03:50] quick analysis, code, and tasks, and

[03:52] anything you'd normally throw at chat

[03:55] GPT. Then there's V3.2 special. This is

[03:58] the high compute reasoning monster. 96%

[04:02] on Amy, 99.2 on the Harvard MIT math

[04:05] tournament, gold medals at IMO, IOI,

[04:08] ICPC, and the Chinese math Olympiad.

[04:11] Special is designed for deep reasoning,

[04:14] multi-step proofs, complex research,

[04:16] heavy analysis, but it doesn't support

[04:18] tool calling right now. It's pure

[04:20] thinking mode, and it's only available

[04:22] through the API until December 15th. Why

[04:25] can't you install Special locally yet?

[04:28] It's in a research beta phase. The model

[04:30] is publicly available on hugging phase,

[04:32] but running it requires serious

[04:35] hardware. 671

[04:37] billion parameters total, but only 37

[04:40] billion active per token thanks to the

[04:43] mixture of experts architecture. You'd

[04:45] need multiple high-end GPUs and

[04:48] distributed compute to run it smoothly.

[04:50] The standard V3.2 too. It's easier to

[04:54] self-host if you've got the hardware,

[04:56] but for most people, the web interface

[04:58] is the way to go. Rule of thumb,

[05:00] standard for speed, special for depth.

[05:02] But since Special is temporary and API

[05:05] gated, I'm going to focus this tutorial

[05:07] on the standard V3.2 model, which is

[05:10] what you can actually use today without

[05:12] jumping through hoops. All right, let's

[05:14] get you set up. This takes about 60

[05:16] seconds. Step one, open your browser and

[05:19] go to chat.deseek.com.

[05:21] You'll see a simple landing page. Click

[05:23] sign up. I just used the Google signin

[05:25] option. One click. No password to

[05:27] remember. Done. Step two. Once you're

[05:29] in, you'll see the main chat interface.

[05:32] The prompt box is right in the center.

[05:34] Below it, you've got two toggles. One

[05:36] says deep think. That enables extended

[05:39] reasoning mode where the AI thinks

[05:41] through your problems step by step. The

[05:44] other toggle is search, but as of right

[05:46] now, it's not reliably working. When it

[05:49] does work, it functions like Chad GBT's

[05:51] web search, but don't rely on it yet.

[05:53] You also see a file upload button.

[05:56] Deepseek is multimodal. You can upload

[05:58] text files, spreadsheets, PDFs, images.

[06:01] It'll extract the text and work with it.

[06:03] No video or audio support yet, but for

[06:06] documents and data, it's solid. On the

[06:08] left side, you've got your chat history.

[06:10] You can rename or delete chats by

[06:12] clicking the three dots next to each

[06:14] one. There's also a QR code button to

[06:17] download the mobile app, which I'll show

[06:18] you in a second. Step three,

[06:20] understanding the interface. In normal

[06:22] mode, Deep Seek gives you a

[06:24] straightforward answer. Simple, clean,

[06:27] fast. But when you enable deep think,

[06:29] something interesting happens. The AI

[06:32] thinks for several seconds first. You

[06:34] literally watch its thought process

[06:36] unfold in real time. Then it delivers

[06:39] the final answer. This is where you see

[06:41] the reasoning chain, the trade-offs.

[06:42] it's considering the logic behind its

[06:44] response. Step four, enable deep think

[06:47] when you need it. If you're doing

[06:48] something simple like writing an email

[06:50] or brainstorming ideas, leave it off.

[06:53] The model responds faster. But if you're

[06:55] working on complex problem solving,

[06:57] research, or multi-step tasks, turn on

[07:00] Deepthink. The model will take longer to

[07:02] respond, but the quality goes way up.

[07:05] Pro tip: Prompt in English or Chinese

[07:07] only. Deepseek's training is optimized

[07:09] for those two languages. Other languages

[07:11] go through a translation layer and the

[07:14] results can be hit or miss. If you need

[07:16] the output in another language, prompt

[07:18] in English first, then ask DeepSk to

[07:21] translate the final answer. That's it.

[07:23] You're set up. Now, let's put this thing

[07:25] to work. This is where it gets

[07:26] interesting. I'm going to show you five

[07:28] real use cases. Some are practical, some

[07:32] are just fun. All of them work without

[07:34] coding, without APIs, and without local

[07:36] installs. Just your browser and a

[07:38] prompt. Let's start with writing. I'm

[07:41] going to ask Deepseek to create a long

[07:43] form article outline. I'll turn on deep

[07:46] think so it thinks through the structure

[07:49] prompt. Create a detailed outline for a

[07:51] 2,000word article on remote work

[07:53] productivity. Include five main

[07:55] sections, each with three sub points.

[07:58] Target audience is freelancers and small

[08:00] business owners. Make it actionable.

[08:02] Watch what happens. Deepseek thinks

[08:04] first, breaking down the prompt. It's

[08:07] identifying the audience, thinking about

[08:08] pain points, structuring the flow. Then

[08:11] it delivers a clean, hierarchical

[08:13] outline with specific subtopics. No

[08:16] fluff, just structure. This is where

[08:18] Deep Seek shines for content work.

[08:21] You're not just getting an answer.

[08:22] You're seeing the reasoning. And if you

[08:24] don't like a section, you can ask it to

[08:26] revise just that part without starting

[08:28] over. Here's something cool. We've been

[08:30] using Deep Seek for text, but what about

[08:33] video? Because that's the other part of

[08:35] content creation. most people struggle

[08:37] with. I've been testing Luma AI's RA3

[08:40] modify for the visuals in this video.

[08:42] And the workflow is honestly

[08:44] fascinating. It's not just type a prompt

[08:46] and hope for the best. There is this

[08:48] reasoning engine built in that actually

[08:50] thinks through what you're trying to

[08:52] create before it starts generating.

[08:54] Here's how it works. You either type a

[08:56] detailed prompt or upload an image as

[08:59] your starting point. Ray 3 modify

[09:01] analyzes your creative intent, figures

[09:03] out the physics, lighting, motion paths,

[09:06] all of that. Then it gives you two

[09:08] generation modes. Draft mode, which is

[09:10] incredibly fast and cheap. Use that to

[09:12] experiment and iterate. Once you nail

[09:15] the concept, you upscale to hi-fi 4K HDR

[09:19] for your final render. But the real game

[09:22] changer, it's visual annotation. Instead

[09:24] of writing a 10-line prompt trying to

[09:26] describe motion, just draw on the image.

[09:30] Circle an object, draw an arrow showing

[09:32] how you want it to move. Ray 3 modify

[09:35] handles the rest. The physics, the

[09:37] lighting transitions, the camera work,

[09:39] it all just works. I tested this with a

[09:41] product demo concept. Started in draft

[09:44] mode, tweaked the motion a few times,

[09:46] then rendered the final 4K version. The

[09:49] output was clean enough to use straight

[09:51] out of the box. no post-processing. And

[09:54] compared to other AI video tools I've

[09:56] tried, this one actually preserves

[09:58] anatomy and handles complex motion

[10:00] without the usual AI artifacts. If

[10:03] you're building content, product videos,

[10:05] or anything visual, Ray 3 modify is

[10:08] worth trying. You can find it at

[10:09] dreamachine.lumalabs.ai.

[10:12] They give you credits to start so you

[10:14] can test draft mode and visual

[10:16] annotation yourself. Link below. All

[10:18] right, back to Deep Seek. Now, let's

[10:20] test file handling. I'm going to upload

[10:22] a sample CSV file with sales data. Then

[10:25] I'll ask Deepseek to analyze it. Prompt:

[10:28] Analyze this sales data. Give me the top

[10:30] three insights and identify any

[10:32] concerning trends. Deepseek reads the

[10:34] file, processes the data, and returns a

[10:37] structured summary. It highlights that

[10:39] Q3 revenue dropped 15%, identifies the

[10:43] underperforming product category, and

[10:45] flags a regional sales dip. All in plain

[10:48] English. No pivot tables, no formulas,

[10:51] just insights. You can also upload PDFs

[10:54] and ask for summaries, key takeaways, or

[10:57] specific extractions. For research work,

[11:00] this is a massive timesaver. All right,

[11:02] this is the showstopper. I'm going to

[11:04] show you three things you can build in

[11:06] Deep Seek right now. No coding knowledge

[11:08] required. These are instant playable

[11:11] visual demos. First, let's start with

[11:14] something fun. generating a simple

[11:16] JavaScript game and playing it right

[11:18] inside DeepSseek prompt. Create a simple

[11:21] snake game in HTML and JavaScript that I

[11:24] can play right now. Deepseek writes the

[11:26] code. A preview button appears. I click

[11:29] it. Boom. The game loads in the

[11:31] interface. I'm playing Snake inside the

[11:34] AI chat window. No libraries, no

[11:37] installs. 15 seconds from prompt to

[11:40] playable game. Now, let's take it a step

[11:42] further and build a simple space shooter

[11:44] arcade game. Prompt: Build a simple

[11:47] space shooter arcade game with HTML 5

[11:50] canvas. Make it playable. Again, Deep

[11:53] Seek generates the code. I hit preview.

[11:55] The game loads. I'm firing shots at

[11:58] targets. It works. Chad GPT would give

[12:01] you the code and tell you to paste it

[12:02] somewhere. Deep Seek lets you run it.

[12:05] And now, let's switch gears and create a

[12:07] simple to-do list app. Prompt. Create a

[12:10] to-do list app with add and delete

[12:12] functionality. Full web app, interactive

[12:14] UI. I can add tasks, delete tasks, check

[12:17] them off. It's live. It's functional.

[12:20] And I didn't write a single line of

[12:22] code. Now, before I move on to comparing

[12:24] Deep Seek with CHG GBT and Gemini, let

[12:26] me show you something that we've built.

[12:28] While you're learning DeepS or any AI

[12:31] tool for that matter, I can't stress

[12:33] enough how helpful it is to have

[12:35] everything in one place. That's exactly

[12:38] why I built AI Master Pro. It's an

[12:40] all-in-one AI hub where you're not just

[12:43] watching tutorials. You're actually

[12:44] applying what you learn in real time.

[12:47] Here's what's inside. The AI Master

[12:49] Method course which walks you through AI

[12:51] foundations, workflows, and how to

[12:53] actually sell AI services. Over a 100

[12:56] lessons, templates, PDFs, everything you

[12:58] need to go from beginner to building

[13:00] real AI products in four weeks. But the

[13:03] course is just the starting point. What

[13:04] I actually use every single day are the

[13:07] AI tools built right into the platform.

[13:09] There's a personal AI master trained on

[13:12] unique data that can teach you anything

[13:14] about AI 24/7. You can generate

[13:17] highquality prompts on the fly and with

[13:20] integrated tools like Sora, VO, Nano

[13:23] Banana directly into the platform. So if

[13:26] you join before the end of 2025, you

[13:29] will get bonus generation credits. You

[13:31] also get Prompt Lab Pro, 300 plus

[13:34] readyto-use prompts you can copy and

[13:36] paste, discounts on other AI tools, and

[13:38] a curated weekly AI digest so you never

[13:41] fall behind on what's new, so you can

[13:44] learn AI and use AI in the same place.

[13:47] No tab switching, no trying to remember

[13:50] which tool does what. Everything's

[13:52] organized. Everything's accessible and

[13:54] honestly, I'm on the platform every

[13:56] single day. If you want to check it out,

[13:58] we're offering a huge discount for the

[14:00] first thousand people who join the

[14:02] annual plan. Link below. All right, back

[14:04] to Deepseek. Let's push it harder. I'm

[14:07] going to give Deepseek a multi-step

[14:09] business problem and watch how it

[14:11] handles it. Prompt: I'm launching a

[14:13] subscription software product. Price is

[14:15] $49 per month. Target market is

[14:18] freelancers. I need a six-month growth

[14:21] plan. include customer acquisition

[14:23] strategy, price and experiments, and

[14:25] retention tactics. Show your reasoning.

[14:28] With Deepthink on, Deep Seek spends

[14:30] about 6 seconds thinking. It's breaking

[14:33] down the problem, customer personas,

[14:35] acquisition channels, pricing,

[14:36] sensitivity, retention metrics. Then it

[14:40] delivers a structured six-month plan

[14:42] with specific action items for each

[14:44] month. This is where the extended

[14:46] reasoning really pays off. You're not

[14:48] getting a generic answer. you're getting

[14:50] a plan that actually considered

[14:52] tradeoffs. Finally, let's test tool use.

[14:55] This is where V3.2's new architecture

[14:58] shines. I'm going to ask it to calculate

[15:00] compound interest and show me the

[15:02] formula step by step. Prompt, calculate

[15:05] the compound interest on $10,000

[15:08] invested at 5% annually for 10 years.

[15:11] Show each step of the formula and the

[15:14] final result. Deepseek doesn't just give

[15:16] me the answer. It breaks down the

[15:18] formula. explains what each variable

[15:20] means, shows the calculation at each

[15:23] step, then gives the final number in a

[15:25] clean box. This is thank plus tool

[15:28] execution in one flow. For anyone doing

[15:30] research, analysis or learning, this is

[15:32] huge. You're not just getting results.

[15:34] You're seeing the work. Let's talk

[15:36] honestly. Can Deepseek actually replace

[15:39] Chat GPT or Gemini? The answer is it

[15:42] depends. Here's where Deepseek wins.

[15:44] Cost. Deepseek Chat is free, but API

[15:47] usage is paid. Chat GPT Plus is $20 a

[15:50] month. Claude Pro is 20. Google AI Pro

[15:53] with Gemini is about $19.99 per month in

[15:57] the US and around €21.99

[16:00] per month in Germany. Varies by region

[16:02] and taxes. If you're just using the chat

[16:04] interface, Deep Seek cost you nothing.

[16:07] Transparency. Deepseek often shows you

[16:09] the visible thinking process. Chad GPT

[16:12] and Gemini usually show the result and a

[16:14] brief explanation without the full chain

[16:17] of thought for learning debugging or

[16:19] understanding why you got a certain

[16:21] answer. Deepseek's transparency is a

[16:24] massive advantage. Math and reasoning.

[16:26] Deepseek R10528

[16:29] scores 87.5%

[16:31] on Me 2025 while GPT5 reports 94.6%

[16:36] without tools. So GPT5 is ahead, but

[16:39] Deep Seek is still very strong. If

[16:42] you're doing data analysis, research, or

[16:44] technical problem solving, Deep Seek

[16:46] holds its own against most models. Open

[16:49] weights. You can download the weights,

[16:51] run locally, and use commercially

[16:53] depending on the license. No vendor

[16:55] lockin. For businesses worried about

[16:57] data sovereignty, that's a big deal.

[17:00] Here's where Chad GPT and Gemini still

[17:02] win. Polish. Chad GBTs and Gemini's

[17:05] interfaces are more refined, better

[17:07] onboarding, smoother UX. Deep Seek feels

[17:10] more utilitarian integrations. Chad GPT

[17:14] has GTS with tools and actions, built-in

[17:17] image generation, browsing, data

[17:19] analysis. Gemini integrates with Google

[17:21] Workspace. Deepseek is bare bones. You

[17:24] get the model. That's it. Stability.

[17:27] Deep See can show server busy messages

[17:30] during peak demand. Paid incumbents

[17:32] often feel more consistent, but no

[17:34] service is immune to outages. Custom

[17:36] instructions. Chat GPT has account level

[17:39] custom instructions. Deepseek doesn't

[17:41] yet offer the same kind of persistent

[17:44] personalization in its chat UI, at least

[17:46] not at the same level. Here's my honest

[17:48] take. Can you replace chat GPT or Gemini

[17:51] entirely? If you're doing writing,

[17:53] research, analysis, and coding, yes,

[17:55] absolutely. Deep Seek is good enough. If

[17:57] you rely heavily on GPTs, need

[17:59] guaranteed uptime, or want a more

[18:02] polished experience, not yet. But for

[18:04] 80% of tasks, Deep Seek is shockingly

[18:07] capable and it's free to use. Let me

[18:09] show you a quick side by side. Same

[18:11] prompt, both models. Prompt: Explain how

[18:15] to improve website conversion rates in

[18:17] five steps. Chad GPT gives a clean,

[18:20] structured answer. Five steps, good

[18:22] advice. Deepseek gives a clean,

[18:25] structured answer. five steps. Also,

[18:28] good advice. In this quick test, the

[18:30] quality looks nearly identical. For most

[18:32] everyday tasks, the performance gap is

[18:35] minimal. The question is whether you

[18:37] value the Chad GPT or Gemini ecosystem

[18:40] or whether you just need a smart AI that

[18:43] gets the job done. Now, let's talk about

[18:45] prompting because the way you ask

[18:46] matters. Deepseek isn't Chad GPT. It has

[18:49] quirks and if you learn them, you'll get

[18:52] way better results. Tip one, formatting

[18:54] matters. If you're doing something

[18:56] complex, structure your prompts with

[18:59] clear sections. Deepseek responds

[19:01] incredibly well to markdown style

[19:03] formatting. Here's the template I use

[19:05] for any non-trivial task. Task colon

[19:08] what you want. Constraints colon any

[19:10] limitations. Output colon how you want

[19:13] the response formatted. For example,

[19:15] task analyze this sales report.

[19:18] Constraints focus on Q3 data only.

[19:20] Ignore outliers above $10,000. output

[19:24] bullet list with top three insights.

[19:26] Each insight under 50 words. Watch how

[19:30] clean that is. You've told the model

[19:31] exactly what to do, what to avoid, and

[19:34] what format you expect. No ambiguity, no

[19:37] back and forth. There's also a second

[19:39] format called think and answer. This

[19:42] one's powerful for reasoning tasks. You

[19:44] split your prompt into two sections

[19:46] using tags. The think section is your

[19:48] background context. The answer section

[19:51] is your specific request. Here's an

[19:53] example. Think I'm a freelance designer

[19:55] launching a new service. My target

[19:57] clients are small startups with budgets

[20:00] under $5,000. I need a pricing strategy

[20:03] that feels premium but accessible.

[20:06] Answer: propose three pricing tiers with

[20:09] specific dollar amounts and

[20:10] justifications for each. The thank

[20:12] section primes the model's reasoning.

[20:14] The answer section narrows the output.

[20:16] You get better, more tailored responses

[20:19] this way. Tip two, be hyper specific.

[20:22] Deep Seek needs detail way more than

[20:25] Chad GBT. Don't just say write an email.

[20:28] Say write a 200word professional email

[20:31] to a client named Sarah explaining a

[20:33] twoe project delay caused by supply

[20:36] chain issues. Tone should be apologetic

[20:38] but confident. Include a revised

[20:40] timeline and next steps. See the

[20:42] difference? You've given the model

[20:44] length, tone, recipient context, reason

[20:47] for the email and deliverables. Now, it

[20:49] has everything it needs to nail it on

[20:51] the first try. This applies to every

[20:53] task. If you're asking for a comparison,

[20:55] name both options and specify what

[20:58] criteria matter to you. If you're asking

[21:00] for a plan, state your constraints

[21:02] upfront. Time, budget, team size,

[21:05] whatever is relevant. Vague prompts give

[21:07] you vague answers. Specific prompts give

[21:10] you work you can actually use. Tip

[21:12] three, use personas. Tell Deepse seeek

[21:15] to act as someone. A career counselor, a

[21:17] financial analyst, a creative director,

[21:20] a systems engineer. This shapes the

[21:22] style and knowledge it brings to the

[21:24] response. Example, act as a senior

[21:26] product manager. Review this feature

[21:28] road map and identify the three biggest

[21:30] risks to hitting our Q2 launch date. The

[21:33] persona tells the model what lens to

[21:35] use. You're not just asking for generic

[21:37] feedback. You're asking for product

[21:39] management feedback. The output changes.

[21:41] I use this constantly for content work.

[21:43] Act as a copywriter specializing in

[21:46] landing pages. Rewrite this headline to

[21:48] be more benefit driven and under 10

[21:51] words. Boom. Focused output. No wasted

[21:53] tokens. Tip four. Ask for multiple

[21:56] approaches. Instead of asking how do I

[21:58] solve this problem, ask give me three

[22:00] ways to solve this problem with pros and

[22:03] cons for each. This forces the model to

[22:05] think deeper and consider trade-offs.

[22:07] You're not getting one solution. You're

[22:09] getting options. and options let you

[22:11] make better decisions. Example, I need

[22:13] to grow my email list by 5,000

[22:16] subscribers in 3 months. Give me three

[22:19] strategies. One, high effort, high

[22:21] reward, one loweffort, lowreward, and

[22:24] one experimental. Include estimated time

[22:27] commitment and success probability for

[22:29] each. That prompt gives you a strategic

[22:31] breakdown, not just ideas, evaluated

[22:34] ideas. Tip five, request selfch checks.

[22:37] After getting an answer, ask what are

[22:39] the potential risks with this approach?

[22:42] Or what assumptions are you making here?

[22:44] Deepseek's reasoning mode makes this

[22:46] especially powerful. You'll literally

[22:48] see it questioning its own logic. This

[22:50] is how you catch blind spots before they

[22:52] become problems. I do this on any high

[22:54] stakes task. Legal advice, ask for

[22:57] risks, financial projections, ask for

[22:59] assumptions, strategic plan, ask what

[23:02] could go wrong. The model will walk

[23:04] through failure modes you might not have

[23:06] considered. Tip six, placeholders for

[23:09] templates. If you're writing something

[23:10] reusable like an email template or a

[23:13] sales script, use placeholders. Prompt,

[23:15] write a cold email to potential clients,

[23:18] use company name, your name, and product

[23:21] name as placeholders. Then in the

[23:23] response, every mention will use those

[23:25] brackets. You just find and replace

[23:27] later. This is huge for batch work. And

[23:30] by the way, if you want 300 plus prompts

[23:32] like this already written and ready to

[23:34] copy paste, check out Prompt Lab inside

[23:37] AMS Pro. I use them constantly.

[23:40] Everything from freelance templates to

[23:42] business automations saves me hours

[23:44] every week. Tip seven, comparison

[23:46] prompts. One thing I love doing is

[23:48] setting up a pros cons list and then

[23:51] asking the model to pick the best option

[23:52] for a specific situation. Example,

[23:55] compare working from home versus

[23:56] co-working spaces. Give me five pros and

[23:59] five cons for each. Then recommend which

[24:01] one is best for a freelance software

[24:04] developer with a tight budget and no

[24:06] team. You get both the analysis and the

[24:08] recommendation. And because DeepSeek

[24:10] shows its reasoning, you can see exactly

[24:12] why it picked one over the other. Tip

[24:14] eight, iterate without fear. The first

[24:16] response is rarely perfect. Follow up.

[24:18] Make that more concise. Revise the

[24:20] second paragraph to be less formal. Give

[24:22] me a version that's more data driven.

[24:24] The back and forth is how you dial in

[24:26] exactly what you need. Don't treat the

[24:29] first output as final. Treat it as a

[24:31] starting point. Let me show you a quick

[24:33] before and after. Bad prompt. How do I

[24:35] market my product? Result from deepseek.

[24:38] Vague, generic advice, social media,

[24:40] email marketing, maybe try ads. Nothing

[24:43] you couldn't Google in 5 seconds. Good

[24:46] prompt. I'm launching a B2B SAS product

[24:48] for small marketing teams. Budget is

[24:51] $5,000 for the first quarter. What are

[24:54] three lowcost customer acquisition

[24:56] channels I should test and what metrics

[24:58] should I track for each result from

[25:00] deepseek specific actionable advice

[25:03] LinkedIn organic outreach with reply

[25:06] rate as the key metric content marketing

[25:09] via SEO optimized blog posts track and

[25:12] domain authority and organic traffic

[25:14] partner referrals with conversion rate

[25:16] and cost per acquisition clear next

[25:18] steps for each that's the difference

[25:20] specificity wins every time is this to

[25:23] Chad GBT or Gemini Killer? No, it's an

[25:25] alternative. For most people, it's good

[25:27] enough to save $240 a year. The real

[25:30] question is this. Do you actually need

[25:32] Chat GPT's ecosystem or Gemini's Google

[25:35] Workspace integration, or do you just

[25:37] need a smart AI that writes well,

[25:40] reasons clearly, and handles data? If

[25:42] it's the latter, Deepseek delivers. My

[25:44] recommendation, try it for one week. Use

[25:47] it for your actual work, writing,

[25:49] research, analysis, whatever you

[25:51] normally throw at Cad GBT or Gemini. See

[25:53] if you miss anything. I'm betting most

[25:55] of you won't. And if you do need Chat

[25:57] GBT for specific GPTs or Gemini for

[26:01] Google integration, fine. But use

[26:03] Deepseek for everything else. There's no

[26:06] reason to pay for tasks a free model can

[26:08] handle just as well. One more thing, the

[26:11] fact that this model is open weight

[26:13] matters. You can download it, you can

[26:15] modify, you can run it on your own

[26:17] hardware. If you've got this setup for

[26:19] developers, researchers, and businesses

[26:22] building AI products, this is a

[26:24] gamecher. You're not locked into OpenAI

[26:27] or Google. You've got options now. And

[26:30] if you want more AI tools like this,

[26:32] free, powerful, and actually useful,

[26:34] subscribe. I test these every week and

[26:37] break them down so you can start using

[26:38] them right away. And if you are serious

[26:41] about mastering AI beyond just one tool,

[26:44] check out AI Master Pro in the

[26:46] description below. That's where I keep

[26:47] all my workflows, prompts, and training

[26:49] in one place. And see you next time.