| 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.
