Managed Agents for Non-Engineers: No‑Code Prototyping Guide
Step-by-step no-code guide to prototype a managed agent with clear tasks, human-review checkpoints, permission limits, test flows, prompts, and audit logs.
Step-by-step no-code guide to prototype a managed agent with clear tasks, human-review checkpoints, permission limits, test flows, prompts, and audit logs.
Step-by-step playbook for small teams to design dependable AI agent workflows: define scope, choose managed vs hosted, add human checkpoints, logging, safety, and rollout.
Build a safe, rule-driven AI email triage workflow: set filters, use summary and reply prompts, include human approvals and credential safeguards.
A step-by-step no-code tutorial to extract tables and fields from messy PDFs and invoices using OCR, LLM prompt templates, light validation, and CSV export.
A compact, repeatable KPI framework and spreadsheet template to measure ROI for AI agents and automations, with sample calculations and testing cadence.
Step-by-step, non-technical guide to pilot a safe AI agent for a small team: define scope, choose lightweight tools, add human-in-loop gates, logging, rollback, and an acceptance checklist.
Step-by-step guide to set up an isolated LLM automation sandbox: threat model, local vs cloud infrastructure, data rules, safe test cases, metrics and rollback plan.
Step-by-step guide to build a reliable AI meeting summaries workflow: choose tools, record and transcribe, integrate notes, craft prompts, QA results, and automate delivery.
Build a practical AI personal productivity workspace: choose copilot roles, connect calendars, email, notes and automations, and deploy three ready workflows.
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