How user testing can make your product great
Get your product into the hands of test users and you'll walk away with valuable insights that could make the difference between success and failure.
I have an ongoing structural-optimization study that will be powered by a large language model. Your role is to help me develop and train the machine-learning model, integrate it with my structural analysis routines, and write clean, reproducible code in both Python and MATLAB. The core of the job is model training: we will fine-tune or custom-train an LLM so it can suggest improved structural layouts, then feed those suggestions into an optimization loop that runs finite-element calculations already available on my side. I will supply the data sets, initial scripts, and target performance metrics. You will extend the codebase, implement the training pipeline, and link everything to the optimization module. Deliverables • Python scripts and MATLAB functions that load data, train the...
I need production-ready n8n workflows that use Claude (Anthropic) or any other fit-for-purpose LLM to automate one core business goal: streamlining customer service requests that touch our finance operations. We also The workflows must be able to: • Ingest the incoming request—whether it arrives by email, form, or chat—identify it as finance-related, and extract the key facts. • Send the request through an LLM prompt chain for classification, summarisation, and suggested next actions. • Trigger follow-up steps inside n8n (routing to the right teammate, updating our ticketing system, posting a Slack/Microsoft Teams message, or calling an external API) with graceful error handling and clear logging. Acceptance criteria • Deployed on our self-hosted n8...
Get your product into the hands of test users and you'll walk away with valuable insights that could make the difference between success and failure.
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