AI Engineering
Design, shape, and control AI interactions with precision. Build structured prompts, custom contexts, multi-model comparisons, and repeatable workflows — all without writing code.
Prompt Engineering
Tools to design clear, structured, repeatable prompts — without needing to code.
Create prompts that are reliable and reusable. Use templates, critics, and guided flows to design structured inputs, enforce formatting, and refine instructions. Build prompts quickly and consistently for any model or workflow.
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Context Engineering
Shape the exact conversation context the AI sees — past messages, history slices, summaries, and custom windows.
Control how much of your conversation history the AI uses. Build custom conversation windows, select or omit messages, reuse earlier content, or assemble clean contexts for better results. Get consistent outputs by shaping the input window with precision.
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Comparison Engineering
Evaluate outputs across models or prompts to choose the best direction.
Compare results side-by-side from different models or different prompts. Use critic templates to evaluate clarity, engagement, virality, quality, or reasoning. Find regressions, pick the strongest output, or explore variations with confidence.
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AI Collaboration Engineering
Build interactions where multiple AIs participate, assist, critique, or co-edit.
Coordinate multiple AI models in the same workspace. Let one AI critique another, compare drafts, propose alternatives, or perform quality checks. Co-edit prompts and documents with multiple models contributing in a shared conversation.
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Workflow Engineering
Design multi-step, multi-agent, or asynchronous workflows using structured LLM operations.
Build structured workflows that combine history, prompts, agents, and tools. Create step-by-step evaluation flows, asynchronous jobs, or multi-agent processes that each model can follow. Engineer repeatable AI workflows with visibility and control.
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