OpenAI's o1 & DeepSeek: How to Boost Accuracy & Efficiency

AI just got a whole lot smarter on Scout. We’re excited to announce the addition of OpenAI’s o1 and DeepSeek's reasoning model onto our platform. These advanced models don’t just respond, but actually think through complex problems. Whether you’re a developer debugging code, a data analyst breaking down trends, or a researcher solving intricate problems, these models are built to help you get to the right answer more efficiently.

What Makes These Models Different?

Traditional AI models generate responses quickly, but sometimes speed comes at the cost of accuracy. OpenAI’s o1 and DeepSeek change the game by prioritizing reasoning over speed, giving them the ability to break down complicated questions into logical steps before responding. This “chain of thought” approach makes them particularly helpful for use cases where careful problem-solving is key—like science, mathematics, coding, and data analysis.

Instead of simply pattern-matching text to generate responses, these models take extra processing time to analyze input, consider various possibilities, and produce well-reasoned answers. This results in higher accuracy, better explanations, and fewer hallucinations.

These models also excel in long-context understanding, which is essential for maintaining coherence and accuracy over extended dialogues or documents. Unlike previous models that struggled with context retention, DeepSeek and o1 can maintain a thread of conversation or narrative over long passages, significantly improving the quality of interactions. This is particularly useful in applications like customer service, where maintaining context over long interactions is crucial.

Why This Matters for You

The addition of OpenAI's o1 and DeepSeek to Scout means you now have AI assistants that can:

• Handle more complex queries without getting confused or generating incomplete answers.
• Reduce errors by thinking through responses instead of rushing to conclusions.
• Enhance your workflows by acting as more reliable AI partners in decision-making.

Best Use Cases for ChatGPT-01 & DeepSeek

1. Scientific Research & Data Analysis:

AI is already revolutionizing research, but o1 and DeepSeek take it further by helping you reason through complex datasets, hypotheses, and problem-solving processes.

Example: Imagine you’re a biologist analyzing gene expression data. Instead of manually sifting through thousands of data points, these models can:

• Identify patterns and correlations.
• Suggest possible explanations for anomalies.
• Generate hypotheses based on existing research papers.

This isn’t just about retrieving information—it’s about making sense of it in a logical, structured way.

2. Advanced Coding & Debugging

Developers, this one’s for you. AI-assisted coding is already a game-changer, but o1 and DeepSeek level up the experience by providing deeper reasoning for debugging and problem-solving.

Example: Let’s say you’re working with a complex recursive algorithm that keeps returning incorrect results. Instead of simply suggesting a quick fix, these models can:

• Walk through each step of the algorithm to pinpoint where the logic fails.
• Suggest alternative approaches based on best practices.
• Explain why a certain refactor might work better.

No more blindly copying and pasting AI-generated code—you get well-thought-out, explainable solutions.

3. Learning & Education Support

If you’re a student, educator, or self-learner, these models act like personal tutors who not only give answers but help you understand the concepts behind them.

Example: You’re studying physics and stuck on an advanced thermodynamics equation. Instead of just spitting out the answer, the AI will:

• Break the problem down into manageable steps.
• Explain each calculation in plain language.
• Show you different ways to approach similar problems in the future.

This makes them incredible tools for mastering tough subjects rather than just memorizing answers.

4. Business & Financial Decision-Making

Numbers don’t lie, but making sense of them can be tough. ChatGPT-01 and DeepSeek can help businesses analyze trends, optimize financial models, and even simulate different scenarios for decision-making.

Example: You run an e-commerce store and want to understand why your conversion rates dropped last quarter. These models can:

• Analyze your sales data alongside external market trends.
• Suggest possible factors influencing the dip (e.g., seasonal demand shifts, competitor pricing changes).
• Offer actionable insights on pricing strategies, advertising, and customer engagement.

With this level of AI-driven reasoning, you’re making data-backed decisions with confidence.

5. Complex Problem-Solving Across Industries

From legal research to engineering simulations, o1 and DeepSeek can be integrated into countless workflows to streamline processes that require detailed reasoning.

Example: An urban planner is designing a new public transportation route and needs to optimize efficiency while considering environmental impact. These models can:

• Process historical traffic data to predict peak congestion points.
• Analyze pollution statistics to suggest greener transit solutions.
• Help create a data-driven proposal that balances efficiency with sustainability.

Tips for Effective Prompting

These reasoning models work best with clear and simple prompts. Here are some best practices to get the most out of them:

• Use developer messages instead of system messages: Reasoning models support developer messages rather than system messages to align with their chain-of-command behavior.
• Keep prompts simple and direct: The models excel at understanding and responding to brief, clear instructions.
• Avoid chain-of-thought prompts: Since these models already reason internally, prompting them to “think step by step” may not improve performance and can sometimes hinder it.
• Use delimiters for clarity: Markdown, XML tags, and section titles help the model interpret different parts of the input appropriately.
• Try zero-shot prompting first: These models often don’t need few-shot examples to generate accurate responses. If needed, include a few examples but ensure they align closely with your instructions.
• Provide specific guidelines: If you have constraints like “propose a solution with a budget under $500,” clearly state them.
• Be explicit about your end goal: Clearly define what a successful response looks like and encourage the model to keep iterating until it meets your criteria.
• Enable markdown formatting explicitly: Reasoning models avoid markdown formatting by default. To enable it, include the string “Formatting re-enabled” on the first line of your developer message.

The Future of AI on Scout

The integration of OpenAi's o1 and DeepSeek is just one step toward making AI even more powerful, reliable, and useful for real-world applications. As large language models continue to improve, Scout remains committed to providing access to the best AI tools out there—so you can focus on solving problems, not fighting with technology.

Whether you’re in research, software development, business strategy, or education, these models are built to help you think smarter and work faster. Ready to put them to the test?

Sign up for free and explore OpenAI's o1 and DeepSeek on Scout and see how they can transform your workflows.