Artificial intelligence is rapidly transforming many sectors, and the food ingredients industry is no exception. From accelerating R&D to analysing market trends and navigating the complex regulatory landscape, AI tools like Claude can become powerful allies. But the key to unlocking the full potential of these assistants lies in the art of asking the right questions, or as we say in AI jargon, «prompting». A well-formulated, clear and contextual prompt can make the difference between a generic answer and an actionable insight specifically tailored to your ingredient needs. Here are a few instructions, in all humility.
This article offers you a practical guide to optimising your interactions with Claude.ai, illustrated by concrete examples from our sector. This approach can also be applied to other AIs, in its methodology - I'm not making an apology for Claude! It's up to you to find your own. You can also be as polite or as polite as you like. And while courtesy is de rigueur, it doesn't influence the result: on the contrary, it makes requests to the servers more cumbersome...
The foundations of an effective prompt: general principles applied to ingredients
Before diving into specific tasks, let's review a few universal principles that make any prompt more effective. Think of them as the solid foundation for any successful formulation.
1. Be clear and ultra-specific with Claude.ai
AI can't read between the lines. If you're vague, its response will be too. Define your needs precisely from the outset.
Let's take a simple example. Instead of a vague request like «Tell me about plant proteins.», Be precise.
A good prompt would be :
«I'm looking for information on plant proteins used in dairy product substitutes (yoghurts, cheeses). Which sources (pea, soya, rice, almond, etc.) are the most suitable in terms of texturisation, solubility and stability in an acid environment? What are the main taste issues to be masked for each of them?»
Why is it better? The right prompt targets a specific sub-sector (dairy substitutes), identifies the critical technical criteria (texturisation, solubility, acid stability) and raises a key issue (taste), enabling Claude to provide a much more relevant and technical response.
2. Show what you expect from Claude.ai with examples
If you are targeting a particular format, style or type of content, the best way is to show Claude an example.
If you simply ask Claude to «Write a short article about our new spice extract.», You give them a lot of freedom. To get a result that matches your brand, show them an example of the style you're already using.
A good prompt would be :
«I have to write a short blog post for our site about our new organic turmeric extract. Our editorial style is informative but accessible, like this example for another ingredient: ‘Discover [Previous Ingredient], sourced from [Source], it provides [Benefit] and fits easily into [Application].’ Write something similar for our turmeric extract, highlighting its sustainable origin, intense colour and applications in drinks and savoury dishes.»
Why is this better? Providing a sample text gives Claude an immediate understanding of the tone, structure and level of detail expected, ensuring that the output matches your brand identity or technical requirements.
3. Encourage step-by-step thinking on complex subjects
For nuanced analyses or strategic plans, asking Claude to detail his reasoning can improve the quality and transparency of the response.
Apply directly «How do I get my new ingredient ‘Clean Label’ certified?» may produce too general an answer. Instead, encourage Claude to break down the process.
A more effective prompt would be :
«I'm developing a new emulsifier of natural origin and I want to understand the process for positioning it as a ‘Clean Label’. Think step by step about the key aspects to consider:
1. Clean Label definition and criteria in my target market (Europe),
2. List of relevant certifications or labels (organic, GMO-free, etc.),
3. Documentation and traceability requirements,
4. Associated marketing communication. For each step, briefly explain the potential challenges in the ingredients sector and best practices.»
Why is it better? This prompt guides Claude through the various facets of a complex industry-specific process, asking for explanations at each stage, leading to a more comprehensive and actionable overview than a simple list of points.
4. Refine by iteration: the taste adjusts with Claude.ai
Rarely will the first version be perfect. Don't hesitate to ask for adjustments, just as you would adjust a wording.
After an initial response, instead of a vague «Improve this description.», Be specific about the changes you want to make.
A good follow-up prompt would be :
«This description of our fibre is good, but please refine it. Adjust the tone to be more ‘benefits to the formulator’ (e.g. ease of incorporation, stability) rather than ‘consumer benefits’. Add a sentence on the potential impact on sugar reduction. Shorten the paragraph on origin to make it more concise».»
Why is it better? Clear adjustment instructions allow Claude to target the necessary changes, precisely aligned with your specific expectations for the content.
5. Take advantage of Claude.ai's extensive knowledge of trends and regulations
Claude has access to an immense amount of information. Use it to explore a variety of subjects, but always provide the context of your specific need.
If you simply ask «What's new in aromas?», the answer will be very broad.
A more focused and useful prompt would be :
«I'm developing soft drinks and looking for new trends in flavours. Can you give me an overview of emerging flavours in ready-to-drink (RTD) beverages in 2024-2025, particularly those that work well with functional bases (ginger, turmeric, herbal extracts) or create unique taste profiles (umami, unexpected floral notes)? Include examples of specific flavours and the reasons for their popularity.‘
Why is it better? This prompt channels Claude's general knowledge into a market segment (RTD drinks) and specific taste profiles (functional, unique), making it directly useful for your project.
6. Role-playing: put yourself in the shoes of the other players in the chain
Adopting a different perspective (customer, supplier, regulator, consumer) through role-playing can provide valuable insights.
Instead of simply asking «How can I sell my ingredient?», Put Claude in your interviewer's shoes.
An effective role-playing prompt would be :
«You're an R&D manager at a major manufacturer of savoury snacks. I'm selling you an ingredient that reduces sodium content without affecting taste. I'm getting ready for a meeting with you. As R&D manager, what would be your 3 main evaluation criteria for such an ingredient (technical performance, cost, consumer acceptance, etc.)? What would be your key questions about formulation, stability and labelling? Then switch roles and advise me on the arguments I should put forward to answer these points.»
Why is it better? This prompt helps to understand the concerns and priorities of the customer (the formulator), helping to better prepare sales pitches and anticipate technical questions.
Specific advice on common tasks in the Ingredients industry
Now let's apply these principles to more specific scenarios that you might encounter on a daily basis.
1. Content creation (data sheets, marketing, etc.)
- Specify the audience : Is it for formulators (technical vocabulary), for buyers (focus on cost/supply), for the marketing department (focus on benefits/trends) or for the end consumer (plain language, health/well-being benefits)?
- Set the tone and style: Professional and factual for a specification? Engaging and inspiring for a marketing newsletter? Strictly regulatory for a declaration of conformity?
- Define the output structure: Bulleted list ? Comparative table? Paragraphs? A standard data sheet format?
- Example of an integrated prompt : «To write a section for our website about our range of polyols (xylitol, erythritol), aimed at food industry professionals (marketing, R&D), use an informative tone and highlight their advantages over sugar (calorie reduction, dental health, low glycaemic index) and their technical properties (solubility, cooling effect). Structure it with a brief introduction, then a paragraph for each polyol mentioning its specific benefits and ideal applications (confectionery, drinks, baking). Aim for around 300 words.»
2. Document summary and Q&A (regulations, market studies, scientific articles)
This is an area where AI can be very effective, given the quantity of documents to be read in our sector.
- Be specific about what you want to summarise: All of it? Only the sections on a specific ingredient category (e.g. natural flavourings)?
- Formulate your questions clearly.
- Use document names (e.g. «Analyse the document ‘EU_Regulation_2024_Claims.pdf'»).
- Ask for quotes (page numbers or sections) to check crucial information (especially in regulations!).
- Example of an integrated prompt : «I have attached two documents: ‘Rapport_Marché_Protéines_Alternatives_Europe_2024.pdf’ and ‘Analyse_Réglementaire_Nouveaux_Aliments_UE.docx’. Firstly, could you summarise in 3-4 paragraphs the main conclusions of the ‘Rapport_Marché_Protéines_Alternatives_Europe_2024.pdf’ concerning proteins derived from precision fermentation? Secondly, on the basis of ‘Analyse_Réglementaire_Nouveaux_Aliments_UE.docx’, answer the following questions: a) What is the current regulatory status of proteins derived from microalgae in the EU? b) What is the estimated timeframe for approval of a new Novel Food standard dossier? c) What are the specific requirements for toxicological data? Please quote the relevant sections or page numbers for each answer.»
3. Data analysis and visualisation (sales, formulation, production)
Although Claude cannot (yet) run complex statistical analyses on large spreadsheets, it can help structure the analysis, interpret simple results and suggest visualisations.
- Specify the desired analysis format.
- Define key metrics to extract or analyse.
- Suggest types of visualisation.
- Example of an integrated prompt : «I have the monthly sales data for our bread-making enzyme range for the last 3 years. Although I can't attach the file, imagine I have a table with the columns: Date, Region (North, South, East, West), Enzyme Type (Amylase, Protease, Xylanase), Volume (kg), Price (€/kg). Could you tell me how to analyse this data to identify: 1. the overall sales trend (growth/decline) by enzyme type? 2. the best performing regions for each enzyme type? 3. the peak sales months or quarters? Then suggest relevant chart types to present this information (e.g. line chart for trends, stacked bar chart for regional breakdown).»
4. Brainstorming (new applications, technical solutions, product names)
Claude can be an excellent brainstorming partner to stimulate creativity.
- Be specific about the subject of the brainstorm.
- Define the constraints or objectives.
- Request structured formats (lists, tables).
- Example of an integrated prompt : «We are looking for new applications for our range of citrus fibres which have excellent water retention and gelling properties. Could you brainstorm ideas for innovative applications (outside traditional bakery/pastry applications) in the following categories: 1. Meat and fish substitutes; 2. Savoury and sweet snack products; 3. Drinks and smoothies; 4. Dairy products and plant-based alternatives. For each idea, briefly mention the functional benefit provided by fibre. Please present the results in the form of a list by category».»
A few tips to minimise disappointment and maximise results
- Claude can be wrong (and so can all the other AIs!): Especially when it comes to the finer details of local regulations or very recent market data. Never take their answers at face value, especially on critical issues. Use it as a powerful assistant, not as a sole source of truth.
- Breakdown : If Claude fails a complex task, break it down into smaller steps and guide him through them sequentially.
- The Context is King for each new conversation: Claude doesn't remember your previous conversations. For each new discussion on a specific subject, include all the necessary contextual information (your company, the product, the market, the objective) as if it were the first time.
In conclusion
AI, and Claude in particular in this example, offers fascinating opportunities for professionals in the food ingredients industry. Whether it's exploring new trends, unravelling complex regulations, stimulating innovation in R&D or improving your marketing communications, mastering prompting is your best asset.
By being clear, providing context and examples, encouraging structured thinking and iteratively refining your requests, you'll transform Claude from a simple tool into a valuable and effective collaborator.
So, are you ready to experiment? Try applying these principles to your next task and discover how AI can boost your daily work in the exciting world of food ingredients.