AI Engineering

Optimize Loop runs an evaluator-optimizer cycle that keeps a correctness gate passing while reducing a measured cost. Use it to refactor code or tune SQL when results must stay unchanged but complexity or latency should drop.

Perplexity Search uses the Perplexity API to answer questions with web-backed search results. Use it when an agent needs current information or sourced answers from the web.

Plan Loop turns a coding or engineering prompt into an executable plan with PR-sized tasks, dependencies, tests, and subtasks. Use it before implementation when a downstream agent or smaller model needs a clear handoff.

Power Analysis Loop sizes a single two-arm comparison by simulation, checks the design for validity flaws, and writes a preregistration before data collection. Use it for A/B tests, simple RCTs, or two-model evaluations with one primary outcome.

Prompt Optimization Loop improves an existing prompt by making one targeted edit at a time and re-running a user-provided eval command to see whether the score rises. It is for prompts that already have a measurable metric, not for writing prompts from scratch or changing model settings.

Purple Team runs red-team and blue-team as separate phases to harden a guardrail, classifier, prompt, or API you own. It repeats find, fix, and re-verify cycles until a fresh attack pass is dry or the cycle budget is reached, then opens a pull request.

Read Working Memory opens the daily briefing that summarizes active focus areas, priorities, unresolved flags, and recent knowledge changes. Use it at session start or when you need current context across tools.

Read Working Memory opens your current briefing so you can see active focus areas, priorities, unresolved flags, and recent knowledge changes. Use it at session start or when you need recent context before continuing work.

Read Working Memory opens your daily context briefing so you can see active focus areas, priorities, unresolved flags, and recent changes. Use it at session start or when you need to recall current work across tools.

Red Team stress-tests a guardrail, classifier, prompt, or API you own or are authorized to test. It generates adversarial inputs, compares target results against an oracle, and catalogues distinct failure classes with reproducible examples.

Research Proposal Loop iteratively grades and revises an existing research proposal using literature-grounded feedback. Use it when a proposal needs stronger soundness, contribution, and evidence before it passes a target score.

Research Question Loop sharpens a vague topic into a few strong research questions. It drafts candidates, scores them with a Specific/Answerable/Novel/Feasible/Significant rubric, and revises weak areas until enough clear the bar.