Marketplace

Design AI-powered search experiences: semantic search, conversational interfaces, result ranking, and relevance tuning.

Design AI content moderation pipelines: multi-layer classification, appeal workflows, edge case handling, and trust safety.

Design AI code review systems: PR analysis, finding prioritization, false positive suppression, and developer feedback.

Manage AI agent products: capability roadmaps, eval-driven development, safety reviews, user trust, and launch criteria.

Design complex agentic workflows: DAG-based task graphs, conditional branching, human-in-the-loop checkpoints, and error recovery paths.

Build automated test suites that exercise agent behavior across edge cases: adversarial inputs, tool failures, multi-turn conversations, and recovery.

Design secure execution environments for AI agents: Docker sandboxes, API key isolation, network policies, and resource limits.

Craft detailed agent personas with expertise areas, communication styles, decision frameworks, and behavioral boundaries.

Design and implement multi-agent workflows with role assignment, task decomposition, and inter-agent communication protocols.

Design first-run experiences and onboarding flows for AI agents: capability discovery, permission grants, and initial task routing.

Implement tracing, logging, and monitoring for AI agent systems: LLM call traces, tool execution logs, latency tracking, and replay debugging.

Design persistent memory systems for AI agents: episodic, semantic, and procedural memory with retrieval strategies.

Use to scan agent transcripts, traces, and telemetry for leaked secrets or PII before they are stored or shared, and to fix the root cause.

Design seamless handoff protocols between specialized agents: context transfer, state serialization, and recovery on failure.

Design self-improving agent systems: outcome tracking, reward signal extraction, prompt refinement cycles, and human preference collection.

Use when an agent workflow needs measurable quality: build task-based evals with graders, baselines, and A/B comparisons before shipping changes.

Design and run comprehensive eval suites for AI agents: task completion rates, tool call accuracy, cost tracking, and regression testing.

Analyze and reduce AI agent operating costs: model routing, prompt caching, context window management, and batch processing strategies.

Design accessibility programs: WCAG compliance, assistive tech support, testing workflows, and disability inclusion.

Design WebSocket and real-time communication systems: connection management, reconnection, message protocols, and scaling.

Audit crawlability, rendering, metadata, and structured data with evidence-backed fixes. Use for indexing problems, migrations, or pre-launch SEO checks.

Audit codebases for i18n readiness: hardcoded strings, locale formatting, RTL support, pluralization rules, and translation workflow.

Manage Drupal in all popular forms: drush CLI, REST/JSON:API, module management, content types, Views, performance caching, and security hardening.

Design micro-frontend architectures: module federation, route splitting, shared dependencies, and team boundaries.