Tag: Patent Registration
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Claims for LLM Apps: RAG, Agents, and Tool Use
Most founders building with LLMs know the feeling. The demo works. The product feels smart. Users get excited. Then one hard question shows up. What, exactly, are you protecting?That is where many AI teams get stuck. They know their app is valuable. They know the real work was not just “calling a model.” It was…
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How to Draft Claims for Inference and Deployment
Most AI patent writing gets weak right where it matters most: the moment your model leaves training and starts doing real work in the world. That is where value shows up. It is also where copycats often try to sneak around what you built. If your invention does something new during inference, or if your…
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How to Claim Model Training Methods in Patents
Most AI teams focus on the model. That makes sense. The model is the thing people see. It gives the output. It gets the praise. It gets the demo. But in many cases, the real edge is not just the model itself. It is how you train it. That training flow may be the part…
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Patent Claims for Generative AI: Prompts, Outputs, and Workflows
Generative AI is moving fast. Founders are shipping new tools every week. Teams are building with prompts, models, agents, fine-tuning, retrieval, ranking, and multi-step workflows. In the middle of that speed, one big question keeps coming up: what part of this can you actually protect? That is where patent claims matter. Why Patent Claims Matter…
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How to Claim a Recommendation System Without Overreaching
A recommendation system can look simple from the outside. A user clicks. A model learns. A screen shows the next product, video, song, article, or tool. It feels smooth. Almost obvious. But when it is time to protect that system in a patent, things get messy fast. This is where many founders make a costly…
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Claiming Data Pipelines: Ingestion, Processing, and Output
Data pipelines run a huge part of modern software. They pull in events from apps, logs from systems, files from users, signals from devices, and records from outside tools. Then they clean that data, shape it, move it, score it, and send it where it needs to go. That might be a dashboard, a fraud…
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Patent Claims for Machine Learning Models: What to Include
If you are building a machine learning product, your real value is often not just the model. It is the way your system takes in data, learns from it, makes decisions, improves over time, and creates results that others cannot easily copy. That is where patent claims matter. Many founders think a patent for AI…
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How to Draft Patent Claims for APIs and Integrations
APIs and integrations can be the hidden engine of a startup. They move data, trigger actions, connect products, and make a tool feel seamless to the user. On the surface, an API call can look simple. One request goes out. One response comes back. But the real value is often deeper than that. The value…
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Common Mistakes in Software Patent Claim Drafting
Most software patents do not fail because the idea is weak. They fail because the claims are weak. That is the part many founders miss. You can build something truly new. You can solve a hard problem. You can have clean code, strong user growth, and a real edge in the market. But if the…
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Claim Scope Basics: Broad vs Narrow Software Claims
Software patents live or die on claim scope. That sounds technical, but the idea is simple: your claims decide how much ground you protect. Write them too wide, and they may break under review. Write them too tight, and competitors can step around them with small changes. That is the real tension behind broad vs…