Analysis-first AI model · 2025–2026
DeepSeek V3.2-level models are built to reason, inspect and optimise. In a Stratboost-style stack, DeepSeek-style engines focus on analysis, code, data work and systems thinking – the quiet layer that keeps your funnels, reports and automations tight while other models handle storytelling, visuals and video.
You don’t log in to “DeepSeek V3.2”. You feel it in cleaner automations, clearer reports and better-structured campaigns across Stratboost.
Role in your stack
DeepSeek-style engines are less about “make me a viral post” and more about “help me understand and improve the system”.
| Capability | DeepSeek V3.2 strength | Why it matters in Stratboost |
|---|---|---|
| Structured reasoning | ✅ Strong at breaking down problems into steps and tradeoffs. | Helps you inspect funnels, flows and offers with more rigour instead of just guessing. |
| Code & scripts | ✅ Capable of reading, writing and refactoring code and pseudo-code. | Useful for technical workflows, tracking snippets, small automations and integration ideas. |
| Data & metrics | ✅ Good at talking about metrics, trends and causes in plain language. | Lets Stratboost-style dashboards and reports feel more like conversations with an analyst. |
| Systems thinking | ✅ Comfortable reasoning about multi-step funnels and constraints. | Pairs well with workflows such as the AI Funnel Blueprint and Content Machine. |
| Optimisation loops | ✅ Suited for “read results → propose changes → track impact” loops. | Helps automate the grind of incremental improvements across campaigns and flows. |
Frontier copy models write the story. DeepSeek-style models help you debug and improve the whole system.
Inside Stratboost
In a Stratboost-style stack, DeepSeek-style models act like an internal analyst & engineer working alongside your copy, design and video engines.
With reporting hooked into Stratboost, DeepSeek-style engines can:
Instead of staring at charts, you ask, “Why did this launch stall?” and get structured, data-aware reasoning back.
In workflows like the AI Funnel Blueprint and AI Content Machine, DeepSeek-style engines can:
Frontier models can then rewrite the assets required for those changes – emails, scripts, pages and posts.
DeepSeek-style models are also comfortable around code and structured configs:
Stratboost is not a code editor, but it’s useful to have a model on call that can talk about scripts and systems with your devs.
Prompt patterns
DeepSeek-style engines respond best when you feed them data, structure and clear objectives – and ask for reasoning, not just copy.
Goal: Understand why a recent launch underperformed and what to do next.
Inputs:
- Launch name: [name].
- Offer summary: [1–2 sentences].
- Funnel steps: [list from ad → DM/chat → email → page → checkout].
- Metrics per step (if available): [paste or summarise].
- Audience or segment: [describe briefly].
Task:
1. Describe what appears to be working vs. underperforming, step by step.
2. List the 3–5 most likely causes of the weak spots.
3. For each cause, suggest 2–3 concrete experiments (changes in messaging, targeting, timing or flow).
4. Output as:
- Overview (short).
- Diagnosis per funnel stage.
- Ranked list of experiments with expected upside and difficulty.Goal: Clean up event tracking and naming so the team can reason about it.
Inputs:
- Current events and properties: [paste list from analytics or docs].
- Core questions we want to answer: [eg. which campaigns drive repeat purchases?].
- Constraints: [eg. keep event names under X characters].
Task:
1. Group existing events into logical categories.
2. Propose a simplified naming convention for:
- Events
- Properties
- User traits
3. Map old → new for each event (so the team understands the migration).
4. Suggest any missing events needed to answer our core questions.Goal: Automate a small part of our marketing process using code or no-code tools.
Inputs:
- Current manual process: [describe steps].
- Tools available: [eg. Stratboost, CRM, email tool, analytics].
- Trigger: [what should start the automation].
- Outcome: [what we want to happen].
Task:
1. Describe the automation in plain language, step by step.
2. Provide pseudo-code or structured logic (if-this-then-that style).
3. Suggest where to implement this (eg. Stratboost workflow, Zapier, custom script).
4. List 3 risks or edge cases to watch for.In a Stratboost-style environment, patterns like these can be wrapped into analytics, workflows and Stratmind tools so DeepSeek-style models quietly handle analysis while other models handle creation.
Model mix
Inside your 2026 stack
Use DeepSeek-style engines to keep performance and infrastructure tight:
Treat DeepSeek-style models as your behind-the-scenes operator:
Even smaller teams can benefit from an analysis-first engine:
Questions
Not necessarily. A Stratboost-style system is designed so analysis-first models like DeepSeek V3.2-level engines can sit directly on top of your campaigns, flows and reports, rather than bolting on yet another app.
They can, but their real edge is reasoning about systems and data. Stratboost’s model mix lets you use copy-focused models for storytelling and DeepSeek-style engines for analysis and optimisation.
DeepSeek-style engines can be helpful for ideas, pseudo-code and refactoring suggestions, but humans should always review and approve any code or tracking changes before they go live.
No. A Stratboost-style platform is built to work with a range of analysis-first engines, including DeepSeek-style models, through supported APIs. The exact models can change over time while your workflows and brand brain stay stable.
As new analysis and code-oriented engines are released, Stratboost can adopt them behind the scenes where they make sense. You keep the same workflows and dashboards – the engines doing the reasoning simply improve.
Built for teams that care about performance, not just “more content”
Stratboost is designed to mix DeepSeek-style analysis engines with frontier copy models, multimodal planners, image and video tools – so you can plan, create, deploy and continuously improve from one system.
Create your Stratboost account →Start by asking simple questions about your existing campaigns and funnels. As you trust the analysis layer, let Stratboost automate more of the optimisation loop for you.