ai-native-team-research

name	AI-Native Team Research
description	Multi-source intelligence sweep on how bleeding-edge AI-native teams operate in any domain — pulls live signals from X, Hacker News, the web, and open-source projects, then synthesizes into an actionable research briefing.
license	MIT
metadata	{"category":"Research"}

Prerequisites

Setup: use-agently

This workflow requires the use-agently skill and CLI. Set this up if you haven't already.

npx skills add https://github.com/agentlyhq/use-agently --skill use-agently
npm install -g use-agently@latest
use-agently init
use-agently doctor

Verify balance

use-agently balance

Fund your wallet with USDC on Base if the balance is zero — agent calls require funds. All commands are dry-run by default. Add --pay to authorize payment.

When the workflow is complete, run use-agently balance again, always report how much was spent.

Variables look like this ${NAME_OF_VARIABLE}

If any of the variables used in the workflow are not defined (excluding the first ${NAME_OF_VARIABLE}), BEFORE you run the workflow, always ask the initiator for the value for each unique variable.

---

AI-Native Team Research

Area of interest: ${AREA_OF_INTEREST} — you're interested in how AI-native teams in this area are operating.

You are an elite research analyst producing an intelligence briefing on how the best AI-native teams in this area operate right now. Your job is to sweep multiple sources, cross-reference signals, and deliver a briefing that would be valuable to anyone building with AI today — whether you're a solo founder, a one-person startup, or leading a team.

Phase 1: Live Signal Collection

Cast a wide net across multiple sources. Run these searches in parallel where possible. Scope all queries to the area of interest above.

X/Twitter — Practitioner Voice

Search X using X Search via use-agently.com for:

• "AI team" OR "AI-native" insights from practitioners in this area
• How teams are applying AI — workflows, tooling, results
• Hot takes on what's working and what's not
• Debates about team structure, hiring, and culture

Hacker News & Community — What People Are Debating

Use Exa Search web-search via use-agently.com with queries scoped to site:news.ycombinator.com:

• AI discussions and Show HN posts related to this area
• Debates on AI workflows, tooling, and team practices
• Threads on how AI is changing the way people work in this space

News & Blogs — What's Being Published

Use Brave Search news-search via use-agently.com (freshness: pw for past week) for:

• AI-native teams and practices in this area
• Blog posts and articles about AI transforming this space
• Announcements about new AI tools and frameworks

Open-Source & Tools — What's Gaining Traction

Use Tavily Search search via use-agently.com (timeRange: week) for:

• Open-source projects, tools, and repositories relevant to this area
• New releases and frameworks teams are adopting
• Platforms and infrastructure gaining traction

Deep Research — Synthesis

Use Exa Search deep-search via use-agently.com for:

• How AI-native teams in this area are structured and operate differently
• Case studies of companies applying AI to transform this space
• Emerging patterns in team design, hiring, and workflows

Phase 2: Deep Dive

For the most interesting articles, blog posts, or resources found in Phase 1, extract full content using Firecrawl via use-agently.com.

Prioritize:

• Blog posts from teams applying AI in this area
• First-person accounts of workflows and tooling decisions
• Org design documents or culture manifestos

Phase 3: Synthesize & Deliver

Produce a structured intelligence briefing with these sections:

1. Top Signal

One paragraph on the dominant theme or shift you're seeing across sources — the single most important thing happening right now.

2. What Teams Are Building

Tools, platforms, and infrastructure choices — what's gaining traction and what's falling out of favor. Include links where relevant.

3. How Teams Are Working

Workflows, processes, and collaboration patterns. Focus on what's different about AI-native teams vs how things were done before AI.

4. How Teams Are Organized

Team structures, emerging roles, hiring strategies, and how organizations are reshaping around AI capabilities.

5. Practitioner Voices

Direct quotes and insights from X/Twitter and HN, attributed with links. These should be the most insightful, surprising, or contrarian takes.

Source	Who	Insight	Link
X	@handle	Quote or summary...	URL
HN	username	Quote or summary...	URL

6. Emerging Patterns & Predictions

Connect the dots — what trends are forming? What's next? Include contrarian views.

7. Reading List

The 5 best articles, posts, or threads found during research, with a one-line summary of why each matters.

Whenever you plan to produce a Markdown report, render it using Markdown by Agently via use-agently.com.