Use when integrating OpenAI/ChatKit chat widgets into Next.js/React applications. Triggers for: embedding chat widgets, configuring widget appearance, implementing event handlers, setting up authenticated chat access, or customizing widget branding. NOT for: building custom chat UIs from scratch or backend AI model configuration.
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Train AI agents using AgentDB's 9 reinforcement learning algorithms including Q-Learning, DQN, PPO, and Actor-Critic. Build self-learning agents, implement RL training loops with experience replay, and deploy optimized models to production.
Reproduces the full prefill sensitivity analysis pipeline for reward hacking indicators. Use when evaluating how susceptible model checkpoints are to exploit-eliciting prefills, computing token-based trajectories, or comparing logprob vs token-count as predictors of exploitability.
This SOP provides a systematic workflow for training and deploying neural networks using Flow Nexus platform with distributed E2B sandboxes. It covers architecture selection, distributed training, ...
Debug ML training issues and optimize performance including loss divergence, overfitting, and slow convergence
Automatically generate daily construction reports from field data, worker inputs, weather, and progress photos. Creates professional PDF reports.
Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.
Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.
Calculate construction labor rates with overhead, benefits, and productivity factors. Regional rate databases and crew composition.
Generate detailed token usage report with threshold analysis and recommendations
Automatically generate PDF reports from construction data. Create formatted project reports with charts and tables.
Create visualizations for construction data. Generate charts, graphs, heatmaps, and interactive dashboards using Matplotlib, Seaborn, and Plotly for project analysis and reporting.
Use when analyzing Xiaohongshu data with Excel, creating spreadsheets for performance tracking, building data dashboards, conducting manual analysis, or learning spreadsheet skills for social media analytics
Analyze marketing performance with key metrics, trend analysis, and optimization recommendations. Use when building performance reports, reviewing campaign results, analyzing channel metrics (email, social, paid, SEO), or identifying what's working and what needs improvement.
Synthesize qualitative and quantitative user research into structured insights and opportunity areas. Use when analyzing interview notes, survey responses, support tickets, or behavioral data to identify themes, build personas, or prioritize opportunities.
Use when creating data reports on Xiaohongshu performance, summarizing analytics findings, presenting insights to stakeholders, documenting marketing results, or building reporting templates
Profile and explore a dataset to understand its shape, quality, and patterns
Build an interactive HTML dashboard with charts, filters, and tables
Create publication-quality visualizations with Python
