Active Research

Analyze any topic, domain, or paper and generate a beautiful HTML report using Actionbook Browser — featuring SPA-aware navigation, network idle detection, batch operations, and intelligent page analysis.

Enhanced Browser Capabilities

Capability	Description
Page load wait	wait-idle — monitors fetch/XHR until network settles
SPA content	wait-fn — wait for JS conditions before extracting
Page understanding	snapshot --filter interactive --max-tokens N — focused, budget-friendly
Popups blocking	--auto-dismiss-dialogs — auto-handle alert/confirm/prompt
Load speed	--block-images — skip images for faster text extraction
Page stability	--no-animations — freeze CSS transitions
Error detection	console --level error — check for page issues
Multi-step forms	batch — execute multiple actions in one call
Element debugging	info <selector> — inspect visibility, position, properties
Change tracking	snapshot --diff — only see what changed
Anti-detection	--stealth + fingerprint rotate for protected sites
Auth management	storage set — inject JWT/tokens for gated content
One-shot fetch	browser fetch <url> — navigate+wait+extract+close in one command
Static page speed	--lite — HTTP-first, browser fallback only if needed
Anti-scrape URLs	--rewrite-urls — x.com→xcancel.com, reddit→old.reddit
Wait tuning	--wait-hint — domain-aware wait (fast/normal/slow/heavy)
Log correlation	--session-tag — tag all operations for debugging

Usage

/active-research <topic>
/active-research <topic> --output ./reports/my-report.json

Or simply tell Claude: "Research XXX and generate a report"

Parameters

Parameter	Required	Default	Description
topic	Yes	-	The subject to research (any text)
--output	No	./output/<topic-slug>.json	Output path for JSON report

Topic Detection

Pattern	Type	Strategy
arxiv:XXXX.XXXXX	Paper	arXiv Advanced Search + ar5iv deep read
doi:10.XXX/...	Paper	Resolve DOI, then arXiv Advanced Search for related work
Academic keywords (paper, research, model, algorithm)	Academic topic	arXiv Advanced Search + Google for non-academic sources
URL	Specific page	Fetch and analyze the page
General text	Topic research	Google search + arXiv Advanced Search if relevant

Architecture

┌──────────┐     ┌──────────────┐     ┌──────────────┐     ┌──────────┐
│  Claude   │────▶│  Actionbook  │────▶│  Web Pages   │────▶│ Extract  │
│  Code     │     │   Browser    │     │  (multiple)  │     │ Content  │
└──────────┘     └──────────────┘     └──────────────┘     └─────┬────┘
      │           │ wait-idle    │     │ SPA / dynamic │           │
      │           │ batch ops    │     │ protected     │           │
      │           │ --stealth    │     │ mobile-only   │           │
      │           │ snapshot     │     └───────────────┘           │
      │           └──────────────┘                                 │
      │          ┌──────────────┐     ┌──────────────┐            │
      ├─────────▶│  Actionbook  │     │ arXiv Adv.   │            │
      │          │  search/get  │────▶│ Search Form  │───────────▶│
      │          │  (selectors) │     │ (40+ fields) │            │
      │          └──────────────┘     └──────────────┘            │
      │                                                            │
┌──────────┐     ┌──────────────┐     ┌──────────────┐            │
│  Open in │◀────│   json-ui    │◀────│  Write JSON  │◀───────────┘
│  Browser │     │   render     │     │  Report      │  Synthesize
└──────────┘     └──────────────┘     └──────────────┘

MUST USE Actionbook CLI

Always use actionbook browser commands for web browsing. NEVER use any other method to access the web:

• NEVER use curl, wget, httpie, or any HTTP CLI tool via bash
• NEVER use python -c "import requests" or any scripting-language HTTP library via bash
• NEVER use WebFetch or WebSearch tools
• ONLY use actionbook browser and actionbook search/actionbook get commands

If you need web content, the PREFERRED path is: actionbook browser fetch <url> --format text --json (one-shot). For interactive multi-step workflows, use: actionbook browser open <url> → actionbook browser wait-idle → actionbook browser text.

Browser Flags — Research Defaults

CRITICAL: Always use these flags when opening the browser for research.

# PREFERRED: One-shot fetch (I1) — handles open+wait+extract+close automatically
actionbook --block-images --rewrite-urls browser fetch "<url>" --format text --json

# For interactive multi-step workflows, use explicit open:
actionbook --block-images --auto-dismiss-dialogs --no-animations --rewrite-urls browser open "<url>"

Flag	Why
--block-images	Skip image downloads — 2-5x faster page load for text extraction
--auto-dismiss-dialogs	Prevent alert/confirm/prompt from blocking automation
--no-animations	Freeze CSS animations — stable snapshots, no timing issues
--rewrite-urls	Rewrite x.com→xcancel.com, reddit→old.reddit to avoid anti-bot blocking
--wait-hint <hint>	Domain-aware wait: instant, fast, normal, slow, heavy, or ms
--session-tag <tag>	Tag all operations for log correlation and debugging
--lite (fetch only)	Try HTTP first, skip browser for static pages (Wikipedia, docs, blogs)

For sites with anti-bot protection, add --stealth:

actionbook --block-images --auto-dismiss-dialogs --no-animations --stealth --rewrite-urls browser open "<url>"

Navigation Pattern — ALWAYS Follow

Option A: One-shot fetch (PREFERRED for read-only page extraction):

# Single command: navigate → wait (domain-aware) → extract → close
actionbook --block-images --rewrite-urls browser fetch "<url>" --format text --json
# For static pages (Wikipedia, docs, blogs), add --lite to skip browser entirely:
actionbook --rewrite-urls browser fetch "<url>" --format text --lite --json
# For accessibility tree:
actionbook --block-images --rewrite-urls browser fetch "<url>" --format snapshot --max-tokens 2000 --json

Option B: Interactive multi-step pattern (for forms, clicks, multi-page flows):

# Step 1: Navigate
actionbook browser open "<url>"          # or: goto, click a link

# Step 2: Wait for load (MANDATORY in v2)
actionbook browser wait-idle             # Wait for fetch/XHR to settle

# Step 3: Extract content
actionbook browser text [selector]       # Extract text
# OR
actionbook browser snapshot --filter interactive --max-tokens 500  # Understand page structure

Why wait-idle is critical:

• SPAs (React, Vue, Next.js) load content via fetch/XHR after initial HTML
• Without waiting, text returns empty or incomplete content
• wait-idle monitors all pending network requests, waits until quiet for 500ms

For pages that load content dynamically after network settles:

actionbook browser wait-idle
actionbook browser wait-fn "document.querySelector('.results')"    # Wait for specific element
actionbook browser text ".results"

Complete Workflow

REMINDER: Every web access in this workflow MUST use actionbook browser commands. Using curl, wget, python requests, or any other HTTP tool is strictly forbidden. The bash tool should ONLY be used for actionbook CLI commands and local file operations (json-ui render, open).

Step 1: Plan Search Strategy

Based on the topic, generate 5-8 search queries from different angles:

• Core definition / overview
• Latest developments / news
• Technical details / implementation
• Comparisons / alternatives
• Expert opinions / analysis
• Use cases / applications

Search order — ALWAYS query Actionbook API first, then search:

Step	Action	Why
Step 2 (FIRST)	Query Actionbook API	Get verified selectors for arXiv, ar5iv, and other known sites BEFORE browsing.
Step 3 (SECOND)	arXiv Advanced Search	Use Actionbook selectors for multi-field, filtered academic search.
Step 4 (THIRD)	Google / Bing search	Supplement with blogs, news, code, discussions, non-academic sources.

Step 2: Query Actionbook API for Selectors (ALWAYS DO THIS FIRST)

BEFORE browsing any URL, query Actionbook's indexed selectors.

# Search for indexed actions by domain
actionbook search "<keywords>" -d "<domain>"

# Get detailed selectors for a specific page
actionbook get "<domain>:/<path>:<area>"

Pre-indexed sites useful for research:

Site	area_id	Key Selectors
arXiv Advanced Search	arxiv.org:/search/advanced:default	40+ selectors: field select, term input, category checkboxes, date range filters
ar5iv paper	ar5iv.labs.arxiv.org:/html/{paper_id}:default	h1.ltx_title_document, div.ltx_authors, div.ltx_abstract, section.ltx_section
Google Scholar	scholar.google.com:/:default	#gs_hdr_tsi (search), #gs_hdr_tsb (submit)
arXiv homepage	arxiv.org:/:default	Global search across 2.4M+ articles

For any URL you plan to visit, run actionbook search "<keywords>" -d "<domain>" to check if it's indexed.

Step 3: arXiv Search (URL-First, Form as Backup)

LESSON LEARNED: arXiv form submission via browser automation is unreliable. Use URL-based search as the PRIMARY method.

Option A: URL-based search (PRIMARY — most reliable):

# Simple keyword search
actionbook --block-images --auto-dismiss-dialogs --no-animations browser open "https://arxiv.org/search/?query=large+language+model+agent&searchtype=all"
actionbook browser wait-idle
actionbook browser text "#main-container"

# Advanced URL search with filters
# searchtype: all, title, author, abstract
# start: result offset (0, 50, 100, ...)
actionbook browser open "https://arxiv.org/search/?query=Rust+machine+learning&searchtype=all&start=0"
actionbook browser wait-idle
actionbook browser text "#main-container"

Search strategy: Start broad, then narrow:

1. First search: broad terms (e.g., "Rust" "machine learning") — aim for 50+ results
2. If too few results (< 10): broaden further, remove date/category filters
3. If too many results (> 200): add more specific terms, use searchtype=title
4. Try 2-3 different query angles (e.g., framework names, use cases, benchmarks)

Option B: Form interaction via batch (BACKUP — use if URL search is insufficient):

# Open arXiv with research flags
actionbook --block-images --auto-dismiss-dialogs --no-animations browser open "https://arxiv.org/search/advanced"
actionbook browser wait-idle

# Use batch for form — fewer round-trips, more reliable
cat <<'EOF' | actionbook browser batch --delay 150
{
  "actions": [
    {"kind": "click", "selector": "#terms-0-field"},
    {"kind": "click", "selector": "option[value='title']"},
    {"kind": "type", "selector": "#terms-0-term", "text": "large language model agent"},
    {"kind": "click", "selector": "#classification-computer_science"},
    {"kind": "click", "selector": "#date-filter_by-3"},
    {"kind": "type", "selector": "#date-from_date", "text": "2025-01-01"},
    {"kind": "type", "selector": "#date-to_date", "text": "2026-02-23"},
    {"kind": "click", "selector": "button:has-text('Search'):nth(2)"}
  ],
  "stopOnError": true
}
EOF
actionbook browser wait-idle
actionbook browser text "#main-container"

# If batch form submission fails (page shows form again instead of results):
# → Fall back to Option A URL-based search immediately
# → Do NOT retry the form — it wastes time

arXiv search capabilities (from indexed selectors — for Option B):

Capability	Selector
Search field (Title/Author/Abstract)	#terms-0-field select
Search term	#terms-0-term input
Add boolean terms	button "Add another term +"
Filter: Computer Science	#classification-computer_science
Filter: Physics, Math, etc.	#classification-physics, #classification-mathematics
Date: past 12 months	#date-filter_by-1 radio
Date: specific year	#date-filter_by-2 radio + #date-year
Date: custom range	#date-filter_by-3 radio + #date-from_date / #date-to_date
Show abstracts	#abstracts-0 radio

Step 4: Supplement with Google / Bing Search

# Search via Google (with wait-idle for SPA results)
actionbook browser open "https://www.google.com/search?q=<encoded_query>"
actionbook browser wait-idle
actionbook browser text "#search"

# Or search via Bing
actionbook browser open "https://www.bing.com/search?q=<encoded_query>"
actionbook browser wait-idle
actionbook browser text "#b_results"

Parse search results to extract URLs. For each discovered URL, query Actionbook API to check if indexed.

CRITICAL: URL Handling Rules (Learned from Production Use)

1. NEVER manually construct URLs from search snippets. Many Google snippet URLs are truncated or reformatted. Instead:

   • Use actionbook browser snapshot --filter interactive to find actual link elements
   • Click the link directly: actionbook browser click "a[href*='domain.com']"
   • Or extract href from snapshot refs

2. Expect 20-30% of URLs to be dead. In practice, ~5 out of 20 URLs return 404. Handle this:

   actionbook browser open "<url>"
   actionbook browser wait-idle
   # Check if the page is a 404 or error page
   actionbook browser wait-fn "!document.title.includes('404') && !document.title.includes('Not Found')" --timeout 3000
   # If timeout → page is dead, skip immediately. Do NOT retry.
   

3. Salvage info from Google snippets. If a URL is dead but the Google snippet had useful info:

   • The snippet text you already extracted IS valid data
   • Use it in the report with a note that the source is no longer available
   • Search for the same content on alternative sites (archive.org, cached versions)

4. Use 4+ diverse search queries. Don't rely on one search angle:

   • Query 1: Core topic overview (e.g., "Rust AI ecosystem 2026")
   • Query 2: Specific frameworks/tools (e.g., "Candle vs Burn Rust ML framework")
   • Query 3: Use cases/benchmarks (e.g., "Rust LLM inference performance benchmark")
   • Query 4: Recent news/developments (e.g., "Rust machine learning latest 2026")
   • Query 5: Community/ecosystem (e.g., "Rust AI agent framework comparison")

Step 5: Deep Read Sources

PREFERRED: Use browser fetch for one-shot page extraction (handles wait + extract + cleanup):

# Quick text extraction (most common)
actionbook --block-images --rewrite-urls browser fetch "<url>" --format text --json

# Static pages (Wikipedia, docs, blogs) — skip browser entirely
actionbook --rewrite-urls browser fetch "<url>" --format text --lite --json

# Page structure analysis
actionbook --block-images --rewrite-urls browser fetch "<url>" --format snapshot --max-tokens 2000 --json

# With token budget for LLM context management
actionbook --block-images --rewrite-urls browser fetch "<url>" --format text --max-tokens 4000 --json

For interactive workflows (forms, clicks), fall back to multi-step:

actionbook browser open "<url>"
actionbook browser wait-idle                    # MANDATORY: wait for network
actionbook browser text                         # Full page text (fallback)
actionbook browser text "<selector>"            # Use Actionbook selector if indexed

If page content seems incomplete, debug:

# Check for JS errors that might block rendering
actionbook browser console --level error

# Check if a specific element exists
actionbook browser wait-fn "document.querySelector('.content')" --timeout 5000

# Inspect element properties
actionbook browser info ".content"

For arXiv papers, try sources in this order:

# 1. arXiv abstract (most reliable) — use fetch
actionbook --block-images browser fetch "https://arxiv.org/abs/<arxiv_id>" --format text --json

# 2. HuggingFace papers page
actionbook --block-images browser fetch "https://huggingface.co/papers/<arxiv_id>" --format text --json

# 3. ar5iv HTML (structured, but fails on new papers) — use --lite for static HTML
actionbook browser fetch "https://ar5iv.org/html/<arxiv_id>" --format text --lite --json
# NOTE: if content too short, ar5iv didn't render. Fall back.

# 4. GitHub repo (from search results) — use fetch
actionbook --block-images browser fetch "<github_repo_url>" --format text --json

For protected sites (Cloudflare, bot detection) — use interactive mode with stealth:

actionbook --stealth --block-images --auto-dismiss-dialogs --rewrite-urls browser open "<protected_url>"
actionbook browser wait-idle
actionbook browser text

For mobile-only content:

actionbook browser emulate iphone-14
actionbook browser open "<url>"
actionbook browser wait-idle
actionbook browser text

For Google Scholar (indexed by Actionbook):

actionbook browser open "https://scholar.google.com"
actionbook browser wait-idle
actionbook browser click "#gs_hdr_tsi"
actionbook browser type "#gs_hdr_tsi" "<query>"
actionbook browser click "#gs_hdr_tsb"
actionbook browser wait-idle
actionbook browser text "#gs_res"

For unindexed sites, use snapshot to discover structure:

actionbook --block-images browser fetch "<url>" --format snapshot --max-tokens 800 --json

Step 6: Synthesize Findings

Organize collected information into a coherent report:

1. Overview / Executive Summary
2. Key Findings
3. Detailed Analysis
4. Supporting Data / Evidence
5. Implications / Significance
6. Sources

Step 7: Generate json-ui JSON Report

Write a JSON file following the @actionbookdev/json-ui schema. Use the Write tool.

Output path: ./output/<topic-slug>.json (or user-specified --output path)

Step 8: Render HTML

CRITICAL: You MUST try ALL fallback methods before giving up. Do NOT stop at the first failure.

IMPORTANT: Always use ABSOLUTE paths for JSON_FILE and HTML_FILE.

Try each method one by one until one succeeds:

# Method 1: Monorepo absolute path (most reliable if inside actionbook project)
node "$(git rev-parse --show-toplevel)/packages/json-ui/dist/cli.js" render /absolute/path/to/report.json -o /absolute/path/to/report.html

# Method 2: Global install (if user ran: cd packages/json-ui && npm link)
json-ui render /absolute/path/to/report.json -o /absolute/path/to/report.html

# Method 3: npx (if published to npm)
npx @actionbookdev/json-ui render /absolute/path/to/report.json -o /absolute/path/to/report.html

NEVER give up silently. If all methods fail, tell the user:

1. The JSON report is saved at <path>
2. To enable HTML rendering, run: cd <actionbook-repo>/packages/json-ui && npm link

Step 9: Open in Browser

# macOS
open <report.html>

# Linux
xdg-open <report.html>

Step 10: Close Browser

Always close the browser when done:

actionbook browser close

Error Recovery Patterns

Intelligent error recovery using advanced browser capabilities:

Pattern: Page Load Failure

# 1. Open page
actionbook browser open "<url>"
actionbook browser wait-idle --timeout 15000

# 2. Check for JS errors
actionbook browser console --level error
# If errors found → page is broken, skip to next source

# 3. Check if content rendered
actionbook browser wait-fn "document.body.innerText.length > 100" --timeout 5000
# If timeout → content didn't render, try fallback

Pattern: Selector Not Found

# 1. Use snapshot to discover actual page structure
actionbook browser snapshot --filter interactive --max-tokens 800

# 2. Or inspect a specific area
actionbook browser info "<parent_selector>"
# Returns: suggested selectors, visibility, tag info

# 3. Adjust selector and retry

Pattern: Anti-Bot Detection

# 1. If initial load returns CAPTCHA or access denied:
actionbook browser close

# 2. Reopen with stealth
actionbook --stealth --no-animations --auto-dismiss-dialogs browser open "<url>"
actionbook browser wait-idle

# 3. If still blocked, rotate fingerprint
actionbook browser fingerprint rotate --os windows
actionbook browser open "<url>"
actionbook browser wait-idle

Pattern: SPA Content Not Loading

# 1. Wait for network
actionbook browser wait-idle --idle-time 1000 --timeout 15000

# 2. Wait for specific element
actionbook browser wait-fn "document.querySelector('.results')" --timeout 10000

# 3. If still empty, check console
actionbook browser console --level error

# 4. Try clicking a loading trigger
actionbook browser snapshot --filter interactive --max-tokens 300
# Look for "Load More", "Show Results", etc.

Full Error Handling Reference

Error	Recovery Strategy
Browser fails to open	actionbook browser status, retry + check console --level error
Page load timeout	wait-idle --timeout 15000, then console --level error to diagnose
URL returns 404	wait-fn "!document.title.includes('404')" to detect fast. Skip immediately, do NOT retry. Use Google snippet text as backup data.
arXiv form submission fails	Fall back to URL-based search: arxiv.org/search/?query=...&searchtype=all
ar5iv content truncated	Fall back to arxiv abstract + wait-fn "document.body.innerText.length > 5000" to verify
Selector not found	snapshot --filter interactive to discover actual structure
Dynamic content missing	wait-idle + wait-fn for specific conditions
Alert popup blocking	--auto-dismiss-dialogs prevents this entirely
Anti-bot detection	--stealth + fingerprint rotate
Slow media-heavy page	--block-images or --block-media for 2-5x speedup
CSS animation interference	--no-animations freezes all transitions
json-ui render crash	Check MetricsGrid — suffix/value must be plain strings
npx json-ui 404	Try all 3 methods (monorepo, global, npx)
No search results	Start broad (50+ results), then narrow. Use 4+ query angles.

IMPORTANT: Always run actionbook browser close before finishing, even on errors.

Feature Usage Checklist

Before finalizing research, verify you used these capabilities:

Feature	When to Use	Check
browser fetch	Read-only page extraction (preferred over open+wait+text)	Use for most page reads
--lite	Static pages (Wikipedia, docs, blogs) — skip browser entirely	Add to fetch for static sites
--rewrite-urls	Always (avoids anti-bot on x.com, reddit)	Set in initial browser launch
--wait-hint	Domain-aware wait tuning (fast/slow/heavy)	Use with fetch or manual flow
--session-tag	Multi-step operations needing log correlation	Set for debugging sessions
wait-idle	After EVERY open/goto/click that triggers navigation	Must be used on every page
--block-images	Always (research doesn't need images)	Set in initial browser launch
--auto-dismiss-dialogs	Always (prevents blocking)	Set in initial browser launch
--no-animations	Always (stable snapshots)	Set in initial browser launch
wait-fn	When content loads asynchronously after network settles	Use on SPAs, dynamic pages
console --level error	When page content seems incomplete or broken	Use for debugging
batch	When filling multi-step forms (arXiv, Google Scholar)	Replaces 5+ sequential commands
snapshot --filter interactive	When discovering unknown page structure	Use on unindexed sites
info <selector>	When a click/type doesn't work as expected	Debug element visibility
--stealth	When site returns CAPTCHA or access denied	Add on retry

Common mistakes to avoid:

• Using manual open → wait-idle → text → close when browser fetch does it in one command
• Not using --lite for static pages (Wikipedia, docs, blogs) — wastes 5-10s on browser startup
• Not using --rewrite-urls — x.com and reddit.com have aggressive anti-bot that blocks scraping
• Forgetting wait-idle after navigation in interactive mode (content appears empty)
• Not using batch for form interactions (slow, unreliable)
• Retrying a dead URL instead of skipping it
• Constructing URLs manually from search snippets instead of clicking links
• Using only one search query angle (always use 4+ diverse queries)
• Not checking for 404 pages before extracting content

json-ui Report Template

IMPORTANT: Always include BrandHeader and BrandFooter.

{
  "type": "Report",
  "props": { "theme": "auto" },
  "children": [
    {
      "type": "BrandHeader",
      "props": {
        "badge": "Deep Research Report",
        "poweredBy": "Actionbook"
      }
    },
    {
      "type": "Section",
      "props": { "title": "Overview", "icon": "paper" },
      "children": [
        {
          "type": "Prose",
          "props": {
            "content": "Overview of the topic..."
          }
        }
      ]
    },
    {
      "type": "Section",
      "props": { "title": "Key Findings", "icon": "star" },
      "children": [
        {
          "type": "ContributionList",
          "props": {
            "items": [
              {
                "badge": "Finding",
                "title": "...",
                "description": "..."
              }
            ]
          }
        }
      ]
    },
    {
      "type": "Section",
      "props": { "title": "Detailed Analysis", "icon": "bulb" },
      "children": [
        {
          "type": "Prose",
          "props": { "content": "..." }
        }
      ]
    },
    {
      "type": "Section",
      "props": { "title": "Key Metrics", "icon": "chart" },
      "children": [
        {
          "type": "MetricsGrid",
          "props": { "metrics": [], "cols": 3 }
        }
      ]
    },
    {
      "type": "Section",
      "props": { "title": "Sources", "icon": "link" },
      "children": [
        {
          "type": "LinkGroup",
          "props": { "links": [] }
        }
      ]
    },
    {
      "type": "BrandFooter",
      "props": {
        "timestamp": "YYYY-MM-DDTHH:MM:SSZ",
        "attribution": "Powered by Actionbook",
        "disclaimer": "This report was generated by AI using web sources. Verify critical information independently."
      }
    }
  ]
}

Paper Report Template (for arXiv papers)

When analyzing academic papers, use a richer template with:

• PaperHeader (title, arxivId, date, categories)
• AuthorList (authors with affiliations)
• Abstract (with keyword highlights)
• ContributionList (key contributions)
• MethodOverview (step-by-step method)
• ResultsTable (experimental results)
• Formula (key equations, LaTeX)
• Figure (paper figures from ar5iv)

Available json-ui Components

Component	Use For	Key Props
BrandHeader	Report header	badge, poweredBy
PaperHeader	Paper metadata	title, arxivId, date, categories
AuthorList	Authors	authors: [{name, affiliation}], maxVisible
Section	Major section	title, icon (paper/star/bulb/chart/code/link/info/warning)
Prose	Rich text	content (supports bold, italic, code, lists)
Abstract	Abstract text	text, highlights: ["keyword"]
ContributionList	Numbered findings	items: [{badge, title, description}]
MethodOverview	Step-by-step	steps: [{step, title, description}]
MetricsGrid	Key stats	metrics: [{label, value, trend, suffix}], cols
ResultsTable	Data table	columns, rows, highlights: [{row, col}]
Table	Generic table	columns: [{key, label}], rows, striped, compact
Callout	Info/tip/warning	type (info/tip/warning/important/note), title, content
Highlight	Blockquote	type (quote/important/warning/code), text, source
KeyPoint	Key finding card	icon, title, description, variant
CodeBlock	Code snippet	code, language, title, showLineNumbers
Formula	LaTeX equation	latex, block, label
Figure	Image(s)	images: [{src, alt, width}], label, caption
Image	Single image	src, alt, caption, width
DefinitionList	Term/definition	items: [{term, definition}]
LinkGroup	Source links	links: [{href, label, icon}]
Grid	Grid layout	cols, children
Card	Card container	padding (sm/md/lg), shadow
TagList	Tags	tags: [{label, color, href}]
BrandFooter	Footer	timestamp, attribution, disclaimer

json-ui Known Pitfalls

Pitfall	Symptom	Fix
MetricsGrid.suffix as object	text.replace is not a function	suffix must be a plain string
MetricsGrid.value as number	Render error	value must be a string (e.g., "58.5" not 58.5)
Missing BrandHeader/BrandFooter	Report looks broken	Always include both
Table row values as object	[object Object] in cells	Row cell values must be plain strings
Very long Prose content	Truncated render	Split into multiple Prose blocks or use subsections

Text Fields

All text fields should use plain English strings.

{ "title": "Key Findings" }

Note: MetricsGrid props value and suffix, and Table row cell values must always be plain strings.

Academic Paper Support

arXiv Papers

ar5iv.org HTML (preferred for reading, but often incomplete for papers < 3 months old):

Element	Selector	Reliability	Fallback
Title	h1.ltx_title_document	High	div.ltx_abstract
Authors	div.ltx_authors	High	—
Abstract	div.ltx_abstract	High	—
Full article	article	Medium	Use when section selectors fail
Sections	section.ltx_section	Low on new papers	article
Figures	figure.ltx_figure	Medium	—
Tables	table.ltx_tabular	Medium	—

Recommended approach: Use wait-idle + wait-fn to verify ar5iv content loaded:

actionbook browser open "https://ar5iv.org/html/<arxiv_id>"
actionbook browser wait-idle --timeout 15000
actionbook browser wait-fn "document.body.innerText.length > 5000" --timeout 10000
# If wait-fn times out → content didn't render, fall back to other sources

Recommended Source Priority

Priority	Source	What you get	Reliability
1	arxiv.org/abs/<id>	Abstract, metadata, submission history	Very high
2	huggingface.co/papers/<id>	Abstract, community, related models	Very high
3	GitHub repo	README, code, model zoo	High
4	HuggingFace model card	Training recipe, benchmarks	High
5	ar5iv.org/html/<id>	Full paper HTML	Medium
6	Google Scholar / Semantic Scholar	Citations, related work	Medium

Other Academic Sources

• Google Scholar (scholar.google.com) — Actionbook indexed
• Semantic Scholar (semanticscholar.org)
• Papers With Code (paperswithcode.com)
• Conference proceedings sites

Quality Guidelines

1. Breadth: Research from at least 3-5 diverse sources
2. Depth: Read full articles, not just snippets
3. Accuracy: Cross-reference facts across sources
4. Structure: Use appropriate json-ui components for each content type
5. Attribution: Always include source links in the report
6. Freshness: Prefer recent sources when relevance is equal