Research · Playbooks
PlaybooksStep-by-step ways to combine AI products for a concrete outcome—with tools linked to real profiles.
A practical multi-step workflow for turning open questions into sourced research notes and a decision-ready brief using AI—without publishing unverified claims as facts.
Best for · Product managers, marketers, founders, and analysts who need clear briefs from messy research.
All playbooks
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5 stepsContent marketers
A practical, five-step workflow for turning a clean script into AI voiceovers and avatar video, while keeping human review, consent, captions, and provenance non-optional in 2026.
6 stepsSupport leaders
A practical multi-step workflow for support teams rolling out AI customer agents and agent assist—without automating high-risk answers before knowledge, escalation, and quality reviews are ready.
6 stepsFounders
A practical multi-step weekly operating rhythm for founders and solopreneurs who use AI to research, plan, ship content and outreach, and keep light CRM and automation hygiene—without inventing metrics or outsourcing judgment.
7 stepsSales teams
A practical multi-step workflow for researching accounts, drafting outreach, managing CRM hygiene, and advancing deals with AI—while keeping humans responsible for relationship truth and commitments.
6 stepsDesigners
A practical multi-step workflow for turning visual concepts into full campaign packages—creative direction, copy variants, motion assets, and publish-ready channel kits—using real AI design and marketing tools with human brand and claims review.
6 stepsSoftware engineers
A multi-step AI coding workflow that keeps humans in charge of framing, architecture, security, and merge decisions while agents handle research, boilerplate, test scaffolding, and review. Drawn from primary docs and standards published between July 1 and August 2, 2026.
6 stepsProduct managers
A practical multi-step workflow for turning meeting transcripts and messy notes into decisions, owners, CRM updates, and follow-up tasks — using AI for capture and drafting while keeping humans responsible for commitments.
8 stepsContent marketers
A human-led AI content marketing pipeline for turning audience evidence into cited, on-brand campaigns and measurable demand.
7 stepsSupport leads
A practical, policy-first customer support AI workflow for triaging tickets, drafting replies, grounding agents in your knowledge base, and closing the loop with CRM context and automation, while keeping humans responsible for high-risk resolutions.
6 stepsStrategy leads
A six-step competitive intelligence AI workflow that turns primary sources into decision-ready briefs with Perplexity, Claude, ChatGPT, Notion AI, and Midjourney — built to resist prompt injection, hallucination, and the temptation to invent market wins.
