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AI Agent Architect

$129Coming soon

Design agents that remember, plan, and use tools — memory, skills, orchestration, and the eval loop that keeps them honest.

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ai-agent-architect · demoDemo

Task

Design agents that remember, plan, and use tools — memory, skills, orchestration, and the eval loop that keeps them honest.

Result

  1. step 1Architect memory, skills, and tool-use for long-running agents
  2. step 2Choose single-agent vs multi-agent without cargo-culting frameworks
  3. step 3Build the eval harness that catches regressions before users do
Autocheck passed

A sample run on demo data — this is what the result looks like in the simulator.

Who it's for

Engineers moving from prompts to production agent systemsFounders building an agent as the core of their productPMs who need to scope agent projects that actually ship

Powers you walk away with

  • Да: Decide architecture from requirements, not hype
  • Да: Give an agent durable memory and a skill library
  • Да: Prove an agent works with evals instead of vibes

What's inside

  1. 01Architect memory, skills, and tool-use for long-running agents
  2. 02Choose single-agent vs multi-agent without cargo-culting frameworks
  3. 03Build the eval harness that catches regressions before users do
  4. 04Capstone: a multi-step agent that survives an adversarial test set

The discipline behind every FolderAI simulator's grading engine.

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Master the workspace: subagents, MCP servers, hooks, slash commands, and skills that turn one terminal into a team.

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