Design and implement agent-to-agent handoff protocols for multi-agent systems. Covers context passing, escalation patterns, handshake mechanisms, conversation continuity, and routing between specialized agents in production workflows.
Monitor AI agent health, detect anomalies, set up alerting, and maintain observability dashboards for production multi-agent systems. Covers liveness checks, performance metrics, drift detection, and incident response.
Design and operate task delegation systems for multi-agent fleets. Covers workload distribution, load balancing, queue management, priority scheduling, and dynamic agent scaling for production agent systems.
Comprehensive guide to designing, building, and operating AI agents. Covers agent architecture, tool use patterns, memory systems, orchestration strategies, planning approaches, error recovery, and safety guardrails for production-grade agent systems.
Design robust error recovery, retry logic, and fallback strategies for production AI agents. Covers transient failure handling, circuit breakers, exponential backoff, state recovery, graceful degradation, and dead-letter queues for agent systems.
Design and operate memory systems for long-running AI agents. Covers context window optimization, summarization strategies, vector-based retrieval, episodic memory, memory consolidation, and garbage collection for production agent systems.
Master the art and science of crafting effective prompts for large language models. Covers foundational patterns, advanced techniques like chain-of-thought and role prompting, structured output formats, and practical strategies for iterative refinement.
Manage prompt versions, run A/B tests across agent prompts, track performance regressions, and safely roll out prompt changes in production. Covers prompt diffing, semantic versioning, canary releases, and automated evaluation.
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost optimization for production LLM deployments.
Capture high-fidelity screenshots of any website using Playwright — supports custom viewports, dark/light mode, mobile/tablet/desktop presets, split-screen, element-based capture by CSS selector, and text-based area capture. Integrates with Telegram or any output channel for delivery.
EDUCATIONAL / RESEARCH ONLY — Single-account always-on Twitter/X manager driven by cookies + headless Playwright. Runs a 10-minute scheduler that drafts posts, engages with timeline/search results, and queues anything risky for Telegram human approval. Hard daily ceilings, structural prompt-injection defenses, and DM…