Experiment templates and validated workflows for safe, productive AI-assisted collaboration.
A practical, modular experiment template to design, run, and evaluate small AI-assisted team workflows with clear success metrics, safety checks, data handling controls, and rollout steps.
Practical, validated AI-assisted workflow templates teams can pilot and adapt. Includes step-by-step workflows for meeting preparation, real-time summarization with human verification, action extraction and assignment, and updating knowledge bases. Each template lists roles, concrete steps, prompt patterns, verification checks, risk mitigations, pilot guidance, and success metrics.
A practical, step-by-step experiment template for piloting agentic automation in collaboration workflows. Includes hypothesis framing, agent design checklist, concrete safety gates and rollback triggers, measurable success criteria, data/privacy guidance, observational logging, decision rules for go/iterate/stop, and a reusable post-mortem checklist.
A practical set of tested prompt patterns, templates, examples, and a human-review handoff checklist to reliably extract meeting summaries, decisions, and action items (with owners and due dates) from transcripts or notes. Includes prioritization prompts, JSON output examples, and safety reminders for human verification.
A concrete, implementable workflow that shows how an AI meeting agent can capture transcripts, extract decisions and actions, propose owners and deadlines, require human verification, update an ADR and action tracker, and notify stakeholders. Includes sample prompts, a human verification checklist, ADR update template, success metrics, and implementation notes.
Practical, safety-first blueprint for inserting agents and automation into team workflows. Includes candidate tasks, a reusable role map, a concrete example workflow with step-level handoffs, an expanded safety checklist, monitoring KPIs, rollout and testing guidance, escalation patterns, and a quick designer checklist.