Apply to join the beta 👇.→ Like this tweet.→ Comment “interested” or DM. We’ll onboard 10 folks this week. —.#NLP #MachineLearning #LLMs #DataScience #MLResearch #AItools #ArgumentMining #OpenSourceAI #MLdatasets #SyntheticData.

Early testers get:.→ Unlimited access.→ Early look at Drop 2.→ Direct input into DriftLogic’s evolution. Benchmark your architecture on new data?.• Test generalization across essay domains?.• Explore synthetic-vs-human debate datasets?.

Each essay is:.• Labeled with argument units (claim, premise, etc.).• Structured with relationships (support, attack).• Clean + aligned for training. Perfect for benchmarking transformers, experimenting with few-shot prompting, or fine-tuning custom classifiers.

Just launched: DriftData’s 1,500 Annotated Persuasive Essays built for training/fine-tuning ML models in NLP tasks like:.→ Argument mining.→ Relationship extraction.→ Claim detection. Looking for 10 beta testers to get full access 👇.

It’s called DriftData, built by DriftLogic, an AI/ML dev studio focused on AI model dev and tooling. Grab the free sample: Use code STARTUP_JULY for 50% off any tier. #NLP #MachineLearning #SyntheticData #ArgumentMining #indiehacker #ai.

Just released a new dataset for anyone working on argument mining or claim detection. -1,500 annotated persuasive essays (claims, premises, relations).-Benchmarked against real-world corpora.-JSON format + schema docs included.

Grab the free 150 essay sample dataset at: Or check out the Hugging Face card:. If it’s useful to you, I’d love the feedback! . #NLP #MachineLearning #AI #ArtificialIntelligence #LLM #LLMAgents.

This is the first drop from DriftData, the first product from DriftLogic, a studio that focuses on creating products and systems for AI builders and designers.

I created it via designing an AI agentic network to write an essay, extract argument structure, relate units to each other, and conduct rigorous quality assurance. I didn’t want to stop there though, I benchmarked it against real-world argument datasets to validate.

DriftData is a set of 1,500 annotated persuasive essays with:. - Major Claims.- Supporting Claims.- Premises.- Relations Links between them . Format: JSON.Ready for Fine-Tuning.Schema + Usage Documentation.Clean Licensing: CC BY-NC or Pro Commercial License.

Have you ever tried to build an argument mining AI model? . Good luck finding a dataset that’s large enough, labeled cleanly, and commercial licensed. I couldn’t find one…so I built one.

Check out the full devlog + reflection here: . “Clarity in Chaos”. Would love to hear your thoughts and know:. If this tool worked perfectly, what would you want it to reveal about student writing?. #EdTech #AItools #Teachersof𝕏 #startupdev #ai.

Hyperparameter tuning is in-progress. The point isn’t perfection, it’s progress. Driftlogic means learning from the mess, and adapting through it.

The idea came fast and easy. The execution? It never does… . I assumed:.- Get annotated essays.- Fine-Tune a BERT model.- Output argument maps. Reality: Broken Torch installs, CPU fallback, and laughable loss curves.

The tool is called ClarityClass. It’s a model-driven assistant that analyzes student writing by tagging claims, supporting premises, and signs of confusion or shallow understanding. BLUF: Not just what the student says, but what they mean and if they understand it.

Not every student who turns in an essay actually understands what they’re writing. Some bluff. Some ramble. Some just copy. I’m building an AI tool that reads between the lines, like teachers do. Here’s how it’s going (and not going):.

Most games lie about choice. So do most careers. I'm building a plan to leave my 9–5 to build a game where memory matters and a solo AI studio that follows the same logic. This is my first post documenting the journey. . #AI #StartupLife #buildinpublic.