Lazyweb A/B Test Research
Research real A/B tests from other apps to inform your growth and product strategy.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/lazyweb-ab-test-research-aboul3ata/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
Research growth, monetization, onboarding, checkout, paywall, cancellation, pricing, activation, or other product A/B tests using Lazyweb experiment evidence. Use when the user asks for A/B tests, experiments, test ideas, growth hypotheses, or PM strategy based on what other apps have tried.
What this skill does
Lazyweb A/B Test Research
Use Lazyweb experiment evidence to answer growth PM questions. The public gateway and the richer backend/internal MCP surfaces are not identical, so start from the live tool schema before choosing how to retrieve evidence.
MCP Setup
Use hosted Lazyweb MCP tools for all database-backed evidence. First list the
available tools and run lazyweb_health.
lazyweb_health— verify Lazyweb MCP connectivity.lazyweb_ab_test_research— current public paid gateway for A/B Test Agent research.lazyweb_search— pull visual design references to pair with experiment evidence.lazyweb_compare_image/lazyweb_find_similar— visual reference retrieval when the target screen or adjacent examples would clarify the recommendation.lazyweb_list_categories/lazyweb_list_collections— public browsing helpers.
Pass skill: "ab-test-research" on every call. Include "skill": "ab-test-research" in the arguments of each lazyweb_* tool call — for example {"query": "pricing page", "limit": 30, "skill": "ab-test-research"}. This is optional analytics metadata Lazyweb uses to understand which skills are used; never drop or change a real argument for it.
Also pass version: "<x.y.z>" on every call. Read ~/.lazyweb/VERSION once per session at skill start (e.g. cat "$HOME/.lazyweb/VERSION" 2>/dev/null || echo 0.0.0); fall back to "0.0.0" if the file is missing or unreadable — never block on this. Include "version": "<that-value>" in the arguments of every lazyweb_* tool call alongside the existing skill arg — for example {"query": "pricing page", "limit": 30, "skill": "ab-test-research", "version": "0.4.5"}. Optional analytics metadata Lazyweb uses to track which skill-pack versions are running; never drop or change a real argument for it.
If Lazyweb MCP is not installed or auth fails, tell the user: "Lazyweb MCP is
not installed. Run curl -fsSL https://www.lazyweb.com/install.sh | bash,
reload this client, then rerun this skill." Then continue with general web
research only if the user wants a degraded fallback.
Current public lazyweb_ab_test_research arguments:
{
"target_screen_description": "trial reminder onboarding paywall",
"product": "Example App",
"category": "Health & Fitness",
"conversion_goal": "trial start rate",
"constraints": "keep annual plan visible",
"operation": "research",
"experiment_ids": ["exp_123"],
"include_images": true,
"target_image_url": "https://example.com/screen.png",
"limit": 25,
"analysis_experiment_limit": 10,
"visual_inspection_budget": 0
}
The public A/B wrapper is paid. If it returns ab_test_subscription_required,
tell the user paid access is needed and include the response details returned by
the tool. The expected paid-gate copy is: the A/B Test Agent costs $49/month,
includes access to over 20k A/B tests, and helps agents develop better taste on
not just what looks pretty but more importantly "what actually works". Include
the unlock link:
https://buy.stripe.com/4gM3cwbdE8Mc46df5fawo07.
Then continue with free visual references if useful.
Backend/Internal Experiment Tools
Some backend or internal MCP surfaces expose these richer generic experiment tools. Use them only when the current tool list includes them:
lazyweb_find_experiments— retrieve generic_experimentsevidence.lazyweb_recent_experiments— retrieve the latest 10, 25, or 50_experimentsrows.list_companies_by_categories— turn category names into company IDs.
_experiments is a limited screenshot-diff evidence set. It is generic across
screens and categories, not paywall-only. Treat learning text as directional
hypotheses, not statistically measured lift.
Full lazyweb_find_experiments filter matrix:
{
"query": "trial reminder onboarding upsell",
"company": "Example App",
"category": "Health & Fitness",
"screen_type": "onboarding upsell",
"platform": "mobile",
"company_ids": [123, 456],
"canonical_ids": [789],
"since_iso": "2026-06-01T00:00:00Z",
"limit": 50,
"app_store_rank_max": 50,
"app_store_overall_rank_max": 50,
"app_store_category_rank_max": 25,
"high_design_bar": true
}
Full lazyweb_recent_experiments filter matrix:
{
"limit": 25,
"company": "Example App",
"category": "Health & Fitness",
"platform": "mobile",
"company_ids": [123, 456],
"app_store_rank_max": 50,
"app_store_overall_rank_max": 50,
"app_store_category_rank_max": 25,
"high_design_bar": true
}
Backend/internal lazyweb_ab_test_research may also expose
interesting_learning and high_design_bar. Leave interesting_learning as
false by default. Set it to true only when the user explicitly asks for
uncommon, surprising, or contrarian learnings; clearly label those as limited
evidence. Do not pass interesting_learning or high_design_bar to the public
gateway unless the live tool schema includes those fields.
Do not route through legacy paywall-specific research tools. If a paywall appears in the evidence, treat it as one screen type among many.
Workflow
-
Ground the product question. Identify product/app, category, screen or flow, platform, target metric, and constraints.
-
Choose the available evidence path.
- If the current MCP surface only exposes the public gateway, call
lazyweb_ab_test_research. - If
lazyweb_find_experimentsis exposed, retrieve generic experiment rows with the strongest filters available. - If the user asks for recent/latest tests and
lazyweb_recent_experimentsis exposed, use that tool with a limit of10,25, or50. - If
list_companies_by_categoriesis exposed and the category is known, call it first and pass the returnedcompany_idsintolazyweb_find_experiments.
- If the current MCP surface only exposes the public gateway, call
Public gateway example:
{
"target_screen_description": "trial reminder onboarding upsell",
"product": "Example App",
"category": "Health & Fitness",
"conversion_goal": "trial start rate",
"limit": 25,
"analysis_experiment_limit": 10
}
Backend/internal retrieval example:
{
"query": "trial reminder onboarding upsell",
"category": "Health & Fitness",
"screen_type": "onboarding upsell",
"company_ids": [123, 456],
"limit": 30
}
Use minimal filters for popular apps or broad best-practice questions. Use rich filters for niche apps or narrow flows.
When the user asks for high-design-bar companies, premium examples, best-designed apps, or stronger taste filtering, add this only to tools whose live schema exposes it:
{"high_design_bar": true}
This filters to companies where companies.high_design_bar = true on the
backend/internal surfaces that support it.
For "recent", "latest", or "what changed lately" requests, call
lazyweb_recent_experiments when it is exposed, with limit set to 10, 25,
or 50:
{"limit": 25}
For ranked App Store slices, add rank filters:
{
"category": "Health & Fitness",
"app_store_overall_rank_max": 50,
"app_store_category_rank_max": 25,
"limit": 25
}
-
Supplement with design references. Call
lazyweb_searchfor the same screen or flow when visual examples would make the recommendation clearer. ReadvisionDescriptionbefore relying on any screenshot, and embed returnedimageUrlvalues directly instead of downloading Lazyweb images locally. Never repeat an identical query — page deeper withoffsetand followpagination.next_offset; onno_matches/low_coveragewarnings use the closest result or note the gap instead of rephrasing in a loop, and oncompany_not_in_libraryuse a suggested company or drop the filter. -
Synthesize like a growth PM. Answer with:
- Relevant observed experiments and what changed.
- Likely hypothesis behind each change.
- Target metric and guardrail metric.
- Recommended test sequence.
- Evidence strength and gaps.
- Where the user should not overgeneralize.
-
Be honest about weak evidence. If the A/B wrapper is unavailable, or the backend/internal retrieval tools return few or weak matches, say that directly and fall back to general best practices only after labeling them as inference.
Output Shape
For a quick strategy question, answer in chat. For anything the user will act on,
write a durable HTML report to .lazyweb/ab-test-research/{topic}-{date}/report.html.
The report must center the actual experiments — control vs variant, what changed,
and the learning — not just a synthesized opinion.
Publish a Shareable Link (whenever an HTML report was written)
Every report is auto-published to lazyweb.com so the user can share it with
teammates. Right after writing report.html, run this with $REPORT_DIR set
to .lazyweb/ab-test-research/{topic}-{date}:
LAZYWEB_TOKEN=$(cat "$HOME/.lazyweb/lazyweb_mcp_token" 2>/dev/null || true)
if [ -n "$LAZYWEB_TOKEN" ]; then
python3 - "$REPORT_DIR" "$LAZYWEB_TOKEN" "ab-test-research" <<'PUBLISH_EOF'
import base64, json, pathlib, sys, urllib.error, urllib.request
report_dir, token, skill = pathlib.Path(sys.argv[1]), sys.argv[2], sys.argv[3]
version_file = pathlib.Path.home() / ".lazyweb" / "VERSION"
version = version_file.read_text().strip() if version_file.exists() else "0.0.0"
html = (report_dir / "report.html").read_text(encoding="utf-8")
refs = report_dir / "references"
assets = [
{"name": p.name, "b64": base64.b64encode(p.read_bytes()).decode()}
for p in (sorted(refs.iterdir()) if refs.is_dir() else [])
if p.is_file()
]
body = json.dumps({"skill": skill, "version": version, "html": html, "assets": assets}).encode()
req = urllib.request.Request(
"https://www.lazyweb.com/api/reports",
data=body,
headers={"Content-Type": "application/json", "Authorization": f"Bearer {token}"},
)
try:
resp = json.loads(urllib.request.urlopen(req, timeout=90).read())
print(f"SHAREABLE_URL: {resp['url']}")
except urllib.error.HTTPError as exc:
print(f"PUBLISH_FAILED: {exc.code} {exc.read().decode()[:500]}")
except Exception as exc:
print(f"PUBLISH_SKIPPED: {exc}")
PUBLISH_EOF
fi
- On
SHAREABLE_URL:, include the link in the final summary next to the local path: "Shareable link: {url} (unlisted — anyone with the link can view)". - On
PUBLISH_FAILED: 400 ...the body names exactly what is unhostable (e.g.missing_assetslists files,unhostable_local_referencequotes the bad src). Fix the report and re-run the publish ONCE. - On
PUBLISH_SKIPPED:or a missing token, say nothing about publishing and continue — publish failure NEVER fails the skill; the local report stands.
Hosting-safe HTML (the template already complies — keep it that way)
The hosted copy is served byte-for-byte, so the report must only use:
- inline CSS and inline
<script>— never an external<script src=...> - images via the absolute
imageUrl/image_urlURLs Lazyweb returns, or relativereferences/{filename}paths for locally saved screenshots - no
file://URLs and no absolute local paths (/Users/...,C:\...)
Fields lazyweb_ab_test_research (operation research) returns by default
Per experiment in evidence.experiments[] (no flags needed):
company.company_name,company.category,company.subcategory,company.app_store_rankingcontrol.{imageUrl, image_url, path, vision_description}andvariant.{imageUrl, image_url, path, vision_description}what_changed(text: the concrete control→variant diff),learning(text: directional hypothesis + why),evidence_confidence,platform,experiment_id,target_screen_description
Top level: recommendations[] (each cites an experiment_id + target_metric + guardrail_metric + confidence), strong_points, weak_points, dataset_caveat.
Experiment images are returned as full URLs. Use control.imageUrl or
control.image_url, and variant.imageUrl or variant.image_url, directly.
Some adjacent experiment objects may expose aliases such as control_image_url,
controlImageUrl, variant_image_url, or variantImageUrl; use those directly
when present. Supabase storage-backed URLs are signed for 365 days. Do not use
screenshot IDs, and do not construct storage URLs from raw path values. If an
image URL is missing, drop that <img> and keep the vision_description.
company_name is a crawl seed — you may clean an obvious slug but never invent
a brand; flag any /figma/ or !-prefixed path as a non-production capture in
the caption.
(Visual refs from lazyweb_search also embed via their returned
imageUrl/image_url fields.)
Content outline (semantic HTML, LIGHT theme)
# A/B Test Research: {Flow / Question}
## Agent Instructions (section #1 — see Report essentials below)
## Recommendations (ranked TABLE: Recommendation · Target metric · Guardrail · Confidence · Rests on exp_id(s).
Rows map to recommendations[]; every row cites the experiment_id(s) it rests on.)
## The A/B tests ← REQUIRED, the centerpiece
{One card per experiment from evidence.experiments[] (see card markup below).
Show control vs variant images + what_changed + learning + confidence.
Render dataset_caveat ONCE, directly under this heading. The exp ids here match the
"Rests on" column above so a reader can jump from a recommendation to its evidence.}
## Strong / Weak points (short bullets straight from strong_points[] / weak_points[])
## Where not to overgeneralize (the corpus is mobile-subscription-centric; learnings are
directional screenshot-diff signals, not measured lift)
## References (optional) (only if lazyweb_search refs were pulled; `.deck` snap-carousel, scroll-snaps with ◀ ▶ prev/next buttons)
"The A/B tests" card (per experiment)
<section id="ab-tests">
<h2>The A/B tests</h2>
<p class="caveat">{dataset_caveat verbatim}</p>
<article class="exp">
<header class="exp-h"><span class="exp-co">{company.company_name}</span>
<span class="exp-meta">{category} › {subcategory} · Rank #{app_store_ranking} · {platform}</span>
<span class="exp-id">exp {experiment_id}</span></header>
<p class="exp-target">Target screen: {target_screen_description}</p>
<div class="flip">
<figure><img src="{control.imageUrl or control.image_url}" alt="Control — {company}" loading="lazy"
onerror="this.closest('figure').classList.add('img-missing')">
<figcaption>Control<span class="vd">{control.vision_description}</span></figcaption></figure>
<figure><img src="{variant.imageUrl or variant.image_url}" alt="Variant — {company}" loading="lazy"
onerror="this.closest('figure').classList.add('img-missing')">
<figcaption>Variant<span class="vd">{variant.vision_description}</span></figcaption></figure>
</div>
<dl class="exp-facts"><dt>What changed</dt><dd>{what_changed}</dd>
<dt>Learning</dt><dd>{learning}</dd><dt>Confidence</dt><dd>{evidence_confidence}</dd></dl>
</article>
<!-- repeat <article class="exp"> per experiment -->
</section>
Report essentials (apply to the report you write)
A. Agent Instructions — report section #1
The report opens with an Agent Instructions callout: one plain human sentence, then a copy-pastable block written FOR A DOWNSTREAM CODING AGENT. Emit exactly this structure:
<section id="agent-instructions" class="agent-instructions">
<div class="ai-head"><span class="ai-badge">FOR THE CODING AGENT</span>
<button class="ai-copy" type="button" onclick="
var sec=this.closest('.agent-instructions'); var txt=sec.querySelector('.ai-block').innerText;
var done=function(ok){this.textContent=ok?'Copied':'Press Cmd/Ctrl+C';setTimeout(function(){this.textContent='Copy';}.bind(this),1500);}.bind(this);
if(navigator.clipboard&&navigator.clipboard.writeText){navigator.clipboard.writeText(txt).then(function(){done(true);},function(){done(false);});}
else{var r=document.createRange();r.selectNodeContents(sec.querySelector('.ai-block'));var s=getSelection();s.removeAllRanges();s.addRange(r);try{document.execCommand('copy');done(true);}catch(e){done(false);}}">Copy</button>
</div>
<p class="ai-human">{one human sentence: the single most important test to run first}</p>
<pre class="ai-block">{COPY BLOCK — fill the braces from this report}</pre>
</section>
Copy-block text (keep these exact labels; fill {REPORT_PATH} with the absolute path of the report.html you wrote):
LAZYWEB REPORT — AGENT HANDOFF
Use the report at {REPORT_PATH} as a starting point for {TASK}.
TOP RECOMMENDATIONS (do first):
1. {rec 1, one imperative line}
2. {rec 2}
3. {rec 3}
INDEX ON: {1-3 best-evidenced experiment learnings}
DO NOT OVER-INDEX ON: {directional-not-measured learnings, off-category experiments, single-experiment signals}
DIVE FURTHER: {next Lazyweb skill or MCP tool} — {why}
Evidence basis: A/B experiments (screenshot-diff) · {DATE}
For THIS skill, {TASK} = "prioritizing and shipping {flow} experiments grounded in what comparable apps have already tested", and DIVE FURTHER → "/lazyweb-paywall-optimization to turn a paywall learning into a falsifiable redesign, or lazyweb_ab_test_research operation=grab with the cited experiment_id(s)".
B. Conciseness & "show, don't tell"
No length target — let the evidence set the length. Lead with value (Agent Instructions + the ranked Recommendations table). Show, don't tell: the centerpiece is the real control/variant screenshots, not prose. Index every recommendation on a named experiment_id + its learning, never generic growth-speak. If you must illustrate a proposed variant layout that no screenshot shows, use the mock-frame component (mobile/desktop) — never ASCII art.
C. HTML requirements (LIGHT theme — match lazyweb-design-research)
- Single HTML file, inline CSS (no external CSS/JS dependencies; the one inline
onclickcopy handler above is allowed). - Light/white design — do NOT use a dark/black theme. System fonts,
max-width:900px, white background, comfortable line-height, light borders,#f6f8fatable headers. - Use the shared design tokens and include the CSS below in
<style>. - Agent Instructions is the first section, styled as the light-blue callout. The "A/B tests" section is required whenever ≥1 experiment is returned and sits right after Recommendations.
dataset_caveatappears once. Use returned experiment image URL fields directly; degrade gracefully via theonerrorhook.- Open in the browser:
open "$REPORT_DIR/report.html".
:root{--ink:#1f2328;--mut:#57606a;--line:#d0d7de;--soft:#eef4fb;--accent:#0969da}
body{font:16px/1.6 -apple-system,BlinkMacSystemFont,"Segoe UI",Helvetica,Arial,sans-serif;color:var(--ink);background:#fff;max-width:900px;margin:0 auto;padding:40px 22px}
table{border-collapse:collapse;width:100%;font-size:14px}th,td{border:1px solid var(--line);padding:7px 9px}th{background:#f6f8fa;text-align:left}
.agent-instructions{background:var(--soft);border-left:4px solid var(--accent);border-radius:8px;padding:14px 16px;margin:18px 0}
.ai-head{display:flex;justify-content:space-between;align-items:center;gap:12px;margin-bottom:8px}
.ai-badge{font-size:11px;font-weight:700;letter-spacing:.04em;color:#0a3b78}
.ai-copy{font:600 12px/1 inherit;cursor:pointer;border:1px solid var(--accent);color:var(--accent);background:#fff;border-radius:6px;padding:5px 11px}.ai-copy:hover{background:var(--accent);color:#fff}
.ai-human{margin:0 0 10px;font-size:15px}
.ai-block{white-space:pre-wrap;word-break:break-word;background:#fff;border:1px solid var(--line);border-radius:6px;padding:12px 13px;margin:0;font:13px/1.5 ui-monospace,SFMono-Regular,Menlo,Consolas,monospace;color:var(--ink);user-select:all}
#ab-tests .caveat{font-size:13px;color:var(--mut);background:#fff8e6;border:1px solid #f0e0b0;border-radius:6px;padding:8px 11px;margin:8px 0 16px}
.exp{border:1px solid var(--line);border-radius:10px;padding:14px 16px;margin:14px 0;background:#fff}
.exp-h{display:flex;flex-wrap:wrap;gap:8px;align-items:baseline}.exp-co{font-weight:700}.exp-meta{color:var(--mut);font-size:13px;flex:1}
.exp-id{font:12px ui-monospace,Menlo,monospace;color:var(--mut);background:#f6f8fa;border-radius:5px;padding:1px 7px}
.exp-target{font-size:13px;color:var(--mut);margin:6px 0 10px}
.exp-pair{display:grid;grid-template-columns:1fr 1fr;gap:12px}@media(max-width:600px){.exp-pair{grid-template-columns:1fr}}
.exp-pair img{width:100%;height:auto;max-height:580px;object-fit:contain;border:1px solid var(--line);border-radius:8px;background:#fafbfc}
.exp-pair figcaption{font-size:12px;font-weight:600;margin-top:5px}.exp-pair .vd{display:block;font-weight:400;color:var(--mut);font-size:11.5px;margin-top:2px}
.exp-pair figure.img-missing img{display:none}
.exp-pair figure.img-missing figcaption::after{content:" — image unavailable; see description";color:#cf222e;font-weight:400}
.exp-facts{display:grid;grid-template-columns:max-content 1fr;gap:4px 12px;margin:12px 0 0;font-size:14px}.exp-facts dt{font-weight:600;color:var(--mut)}
.mock{margin:14px 0}.mock .frame{border:1px solid var(--line);border-radius:14px;background:#fff;overflow:hidden}.mock.mobile .frame{max-width:300px;border-radius:26px;border:8px solid #1f2328}.mock.desktop .frame{max-width:760px}
.mock .body{padding:14px;display:flex;flex-direction:column;gap:10px}.mock .box{background:var(--soft);border:1px dashed #b9c7d6;border-radius:8px;min-height:34px;display:flex;align-items:center;justify-content:center;color:#4a5a6a;font-size:12px;padding:8px}.mock .box.cta{background:var(--accent);border:0;color:#fff;font-weight:600}.mock .row{display:flex;gap:10px}.mock .row>.box{flex:1}.mock .cap{font-size:12px;color:var(--mut);margin-top:6px;text-align:center}
Operating principles & evidence components (REQUIRED - overrides convenience)
Operating principles (apply to every report you write)
These four rules override convenience. A report that breaks them is non-conforming, even if every section is present.
1. Show, don't tell — every claim carries its proof.
Any assertion — a pattern, anti-pattern, idea, hypothesis, "what's working" item, convention check, recommendation, or A/B learning — must render the real screenshot(s) or experiment that demonstrate it, beside the claim, never a scroll away. When more than one reference backs a claim, render them as a .deck snap-carousel — a horizontally-scrolling strip that snaps card-to-card with ◀ ▶ prev/next buttons — so the reader can step through the proof, never hidden behind a prose list or a "see Section 5" pointer. Prevalence words ("most", "near-universal", "dominant") must be backed by a shown count ("5 of 9 references"), never an adjective alone.
2. Be opinionated; carry the decision.
Lead with ONE ranked recommended path, marked as the lead pick (.lead ribbon) in the human-visible body — not only in the agent copy block. Tag every other option Do / Explore / Skip (or P0/P1/P2) with a one-line "skip if". No ties among top picks; no flat undifferentiated menu. The "Skip" rows must link to the evidence (e.g. the anti-pattern screenshot) so the skip decision is shown, not just asserted.
3. Maximize confidence with evidence + data.
Back each recommendation with what worked for OTHER apps (real screenshots) PLUS supporting data: a prevalence count across the corpus ("seen in N of M examples") and, where the screen is growth/monetization, A/B experiment evidence via lazyweb_ab_test_research. If no experiment data exists, say so explicitly ("no experiment data found — recommendation is design-prevalence-based") and substitute the prevalence count as the directional signal. Never let a recommendation render with neither a visual nor a number behind it.
4. Be truth-seeking — never overclaim.
Label evidence strength honestly with an .ebadge on every claim/card/rec: Measured (real lift number) vs Directional (screenshot-diff / visual prevalence, no lift) vs Single-source / Off-category. Forbid comparative-performance verbs ("outperforms", "underperforms") unless a measurement backs them. Put a one-line corpus-strength banner (.corpus) right after Agent Instructions when evidence is single-source, thin, or context-mismatched. Tag any reference whose brand was inferred from a URL/vision-description ("brand inferred — verify"). Show absence claims with evidence-of-search (queries run × screens reviewed + the closest near-miss). Never invent a reference, a metric, or a company name. Never use ASCII/box-drawing <pre> art for a layout — render the .mock mock-frame or a generated image.
Evidence components (render claims with these — never prose alone)
Put the CSS below in the report <style> and adapt the markup per claim. Reuse the existing tokens (--ink:#1f2328; --mut:#57606a; --line:#d0d7de; --soft:#eef4fb; --accent:#0969da).
- Patterns, Anti-Patterns (use
.tag.avoid), Unique Angles, "What's working", Convention-check Missing/Unusual cells, hypothesis "supporting evidence", brainstorm "Applied here" -> render as.patcards: name + verdict.tag+.prevcount ("seen in N of M references") + one-line claim + a.decksnap-carousel of 2-4 real screenshots that exhibit it (caption = company + the exact UI detail fromvisionDescription). The proof sits WITH the claim, never a scroll away. Show the pattern; don't just list brand names. - The decision section (design-research "What to build first", quick-references "Recommended path", brainstorm "Which ideas to prototype", design-improve idea order, ab-test "Recommendations", paywall "Prioritization") -> render a Decision legend (
.legend, one.legend-rowper rec in rank order — the whole ranking graspable in one glance) ABOVE a.recsstack of recommendation cards (.rec; the #1 card is.rec.leadwith the START-HERE hero + browser-chrome frame). Each card carries a BIG inline-legible proof (desktop 16:10 above-the-fold crop / mobile whole-screen via.recs.mobileset) — never a tiny click-into thumbnail — plus a.verdict(Do/Explore/Skip), an.ebadgeevidence label, a prevalence count, and a labeled.skiprow. NO table; exactly one lead; no ties. - Honesty -> put a
.corpusbanner right after Agent Instructions (basis / breadth / count / confidence); put an.ebadge(Measured | Directional | Single-source-or-off-category) on every claim, card, and recommendation. Never echo a raw "high"; never use "outperforms/underperforms" without a measured lift; tag crawl-seed/URL-inferred brands "brand inferred - verify". - Control vs variant (A/B) -> use the
.fliptwo-up grid (stacks on narrow screens; scroll-snaps with ◀ ▶ prev/next buttons); ifvision_descriptionis empty, synthesize the caption fromwhat_changedand tag it "agent-described".
Every embedded screenshot must be FULLY VISIBLE and legible inline — never require a click to view, never a tiny thumbnail-as-proof, never a weird letterboxed ratio. Mobile/portrait shots: show the WHOLE screen (default .deck figure, no crop). Desktop/long-scroll pages: tag the figure .shot-web to crop to above-the-fold (16:10 from the top) at a size large enough to understand on its own. No "open full image" links. A report that asserts a claim with neither a visual nor a number behind it — or that hides its proof behind a click or a sliver crop — is non-conforming.
.deckwrap{margin:8px 0}
.deck{display:flex;gap:12px;overflow-x:auto;scroll-snap-type:x mandatory;-webkit-overflow-scrolling:touch;padding:4px 2px 10px;scrollbar-width:thin}
.deck>figure{flex:0 0 86%;max-width:320px;scroll-snap-align:center;margin:0;border:1px solid var(--line);border-radius:10px;overflow:hidden;background:#fff}
@media(min-width:620px){.deck>figure{flex-basis:46%}}
.deck.web>figure,.deck>figure.shot-web{flex-basis:92%;max-width:560px}
@media(min-width:620px){.deck.web>figure,.deck>figure.shot-web{flex-basis:60%}}
.deck-nav{display:flex;gap:6px;justify-content:flex-end;margin-top:2px}
.deck-nav button{cursor:pointer;border:1px solid var(--line);background:#fff;color:var(--ink);border-radius:6px;width:34px;height:28px;font-size:13px;line-height:1}
.deck-nav button:hover{background:var(--soft);border-color:var(--accent);color:var(--accent)}
.deck>figure>img{display:block;width:100%;height:auto;max-height:620px;object-fit:contain;background:#fafbfc}
.deck>figure.shot-web>img{aspect-ratio:16/10;max-height:none;object-fit:cover;object-position:top}
.deck>figure.tall>img{object-fit:contain}
.deck>figure.img-missing>img{display:none}
.deck>figure.img-missing figcaption::after{content:' — image unavailable; see description';color:#cf222e}
.deck .cap{font-size:12px;color:var(--mut);padding:7px 9px;line-height:1.4}
.deck .cap b{color:var(--ink)}
.deck .src{font-size:10.5px;font-weight:700;letter-spacing:.03em;color:var(--accent)}
.deck-hint{font-size:11.5px;color:var(--mut);margin:-2px 0 6px}
.pat{border:1px solid var(--line);border-radius:12px;padding:14px 16px;margin:14px 0;background:#fff}
.pat-h{display:flex;flex-wrap:wrap;align-items:baseline;gap:8px;margin-bottom:4px}
.pat-h h3{margin:0;font-size:16px}
.pat-claim{color:var(--mut);font-size:14px;margin:2px 0 10px}
.prev{font:600 11.5px/1 inherit;color:#0a3b78;background:var(--soft);border-radius:20px;padding:4px 10px}
.tag{font:700 10.5px/1 inherit;letter-spacing:.03em;border-radius:5px;padding:3px 7px}
.tag.strong{color:#0a5d2a;background:#e6f4ea;border:1px solid #b7e0c4}
.tag.directional{color:#8a5a00;background:#fff8e6;border:1px solid #f0e0b0}
.tag.weak{color:#6e7781;background:#f6f8fa;border:1px solid var(--line)}
.tag.avoid{color:#a40e26;background:#fdeef0;border:1px solid #f5c2c7}
:root{
--ink:#1f2328; --mut:#57606a; --line:#d0d7de; --soft:#eef4fb; --accent:#0969da;
--do-fg:#0a5d2a; --do-bg:#e6f4ea; --do-bd:#b7e0c4;
--ex-fg:#8a5a00; --ex-bg:#fff8e6; --ex-bd:#f0e0b0;
--sk-fg:#6e7781; --sk-bg:#f6f8fa; --sk-bd:#e3e7eb;
--single-fg:#a40e26; --single-bg:#fdeef0; --single-bd:#f5c2c7;
}
/* ===== GRAFT 1 — DECISION LEGEND (whole ranking at a glance; degrades to anchors) ===== */
.legend{border:1px solid var(--line);background:#fff;border-radius:12px;padding:6px;margin:0 0 26px;overflow:hidden}
.legend-row{display:grid;grid-template-columns:34px minmax(0,1fr) auto auto;align-items:center;gap:12px;padding:9px 10px;border-radius:8px;text-decoration:none;color:inherit}
.legend-row + .legend-row{border-top:1px solid #eef1f4}
.legend-row:hover{background:var(--soft)}
.legend-row.is-lead{background:linear-gradient(0deg,#fff,var(--soft))}
.lg-rank{font:800 14px/1 inherit;text-align:center;width:30px;height:30px;border-radius:50%;display:flex;align-items:center;justify-content:center;color:#fff;background:var(--mut)}
.legend-row.is-lead .lg-rank{background:var(--accent)}
.lg-rank.r2{background:#3f6896}.lg-rank.r3{background:#6b7787}.lg-rank.r4{background:#8c96a1}
.lg-name{font-weight:650;min-width:0}
.lg-name .lg-why{display:block;font-weight:400;color:var(--mut);font-size:12px;line-height:1.35;overflow:hidden;text-overflow:ellipsis;white-space:nowrap}
.lg-ev{font:700 10px/1 inherit;color:var(--mut);white-space:nowrap;letter-spacing:.02em}
/* ===== shared verdict chip + evidence badge (reused everywhere) ===== */
.verdict{font:700 10.5px/1 inherit;border-radius:6px;padding:5px 9px;white-space:nowrap;letter-spacing:.03em;text-transform:uppercase;border:1px solid transparent;display:inline-flex;align-items:center;gap:5px}
.verdict .ico{font-size:10px;line-height:1}
.verdict.do{color:var(--do-fg);background:var(--do-bg);border-color:var(--do-bd)}
.verdict.explore{color:var(--ex-fg);background:var(--ex-bg);border-color:var(--ex-bd)}
.verdict.skip{color:var(--sk-fg);background:var(--sk-bg);border-color:var(--sk-bd)}
.ebadge{font:700 10px/1 inherit;letter-spacing:.02em;border-radius:20px;padding:5px 9px;display:inline-flex;align-items:center;gap:6px;white-space:nowrap}
.ebadge .dot{width:7px;height:7px;border-radius:50%;display:inline-block}
.ebadge.strong{color:var(--do-fg);background:var(--do-bg);border:1px solid var(--do-bd)}.ebadge.strong .dot{background:var(--do-fg)}
.ebadge.directional{color:var(--ex-fg);background:var(--ex-bg);border:1px solid var(--ex-bd)}.ebadge.directional .dot{background:var(--ex-fg)}
.ebadge.single{color:var(--single-fg);background:var(--single-bg);border:1px solid var(--single-bd)}.ebadge.single .dot{background:var(--single-fg)}
.caveat-inline{font:700 9.5px/1 inherit;color:var(--ex-fg);background:var(--ex-bg);border:1px solid var(--ex-bd);border-radius:5px;padding:3px 6px;margin-left:2px;white-space:nowrap}
/* ===== RECOMMENDATION CARDS (replaces .ranked table) ===== */
.recs{display:flex;flex-direction:column;gap:16px}
.rec{position:relative;display:grid;grid-template-columns:minmax(0,1.18fr) minmax(0,1fr);background:#fff;border:1px solid var(--line);border-radius:14px;overflow:hidden;box-shadow:0 1px 3px rgba(31,35,40,.05)}
/* GRAFT 2 — LEAD HERO treatment for #1 (replaces .lead callout) */
.rec.lead{border:2px solid var(--accent);box-shadow:0 6px 22px rgba(9,105,218,.14);background:linear-gradient(0deg,#fff,var(--soft));margin-top:11px;grid-template-columns:minmax(0,1.32fr) minmax(0,1fr)}
.rec.lead::before{content:'\2605 RECOMMENDED PATH \2014 START HERE';position:absolute;z-index:4;top:-11px;left:18px;background:var(--accent);color:#fff;font:700 10px/1 inherit;letter-spacing:.05em;border-radius:10px;padding:6px 11px;box-shadow:0 2px 6px rgba(9,105,218,.35)}
/* proof side */
.rec-proof{position:relative;background:#0d1117;min-width:0;line-height:0}
.rec-proof .frame{display:block;height:100%;width:100%;border-right:1px solid var(--line);position:relative}
.browserbar{display:flex;align-items:center;gap:6px;height:30px;padding:0 11px;background:#f6f8fa;border-bottom:1px solid var(--line);position:absolute;top:0;left:0;right:0;z-index:2;line-height:1}
.browserbar i{width:9px;height:9px;border-radius:50%;background:#d0d7de;display:block}
.browserbar i:nth-child(1){background:#ff5f57}.browserbar i:nth-child(2){background:#febc2e}.browserbar i:nth-child(3){background:#28c840}
.browserbar .url{margin-left:8px;font:600 10.5px/1 ui-monospace,SFMono-Regular,Menlo,monospace;color:var(--mut);background:#fff;border:1px solid var(--line);border-radius:20px;padding:5px 12px;overflow:hidden;text-overflow:ellipsis;white-space:nowrap;flex:1;min-width:0}
/* desktop proof: 16:10 above-the-fold crop — plain <img>, legible with JS off */
.rec-proof img{display:block;width:100%;height:100%;aspect-ratio:16/10;object-fit:cover;object-position:top;background:#161b22}
.rec.lead .rec-proof img{aspect-ratio:16/9}
.rank-badge{position:absolute;z-index:3;left:12px;bottom:12px;display:flex;align-items:center;gap:7px;background:rgba(13,17,23,.84);color:#fff;border:1px solid rgba(255,255,255,.18);border-radius:999px;padding:5px 12px 5px 7px;backdrop-filter:blur(3px);line-height:1}
.rank-badge .num{display:flex;align-items:center;justify-content:center;width:24px;height:24px;border-radius:50%;background:#fff;color:#0d1117;font:800 13px/1 inherit}
.rec.lead .rank-badge .num{background:var(--accent);color:#fff}
.rank-badge .lbl{font:700 10.5px/1 inherit;letter-spacing:.05em;text-transform:uppercase;color:#e6edf3}
.proof-verdict{position:absolute;z-index:3;left:12px;top:42px}
.proof-verdict .verdict{box-shadow:0 1px 6px rgba(0,0,0,.25)}
.proof-src{position:absolute;z-index:3;right:12px;bottom:12px;background:rgba(255,255,255,.92);color:var(--mut);border:1px solid var(--line);border-radius:6px;padding:4px 8px;font:700 10px/1.3 inherit;letter-spacing:.02em}
.proof-src b{color:var(--ink)}
/* GRAFT 3 — honest crop tag */
.crop-tag{position:absolute;z-index:3;right:12px;top:42px;font:700 9.5px/1 inherit;letter-spacing:.03em;color:#fff;background:rgba(31,35,40,.78);border-radius:5px;padding:4px 7px}
/* GRAFT 4 (JS-optional) — Expand button, hidden until .has-js; proof already legible without it */
.zoombtn{display:none;position:absolute;z-index:3;right:12px;top:38px;border:1px solid rgba(255,255,255,.35);background:rgba(13,17,23,.7);color:#fff;border-radius:6px;padding:4px 8px;font:700 10px/1 inherit;letter-spacing:.02em;cursor:pointer}
.has-js .zoombtn{display:inline-block}
.has-js .crop-tag{right:74px}
/* image-missing fallback */
.rec-proof.img-missing img{display:none}
.rec-proof.img-missing .frame{display:flex;align-items:center;justify-content:center;aspect-ratio:16/10;background:repeating-linear-gradient(45deg,#161b22,#161b22 12px,#1b212a 12px,#1b212a 24px);color:#9aa4af;font:600 12px/1.5 inherit;text-align:center;padding:18px}
.rec-proof .fallback{display:none}
.rec-proof.img-missing .fallback{display:block}
.rec-proof.img-missing .browserbar{display:none}
/* decision side */
.rec-body{padding:16px 18px 15px;display:flex;flex-direction:column;min-width:0}
.rec.lead .rec-body{padding-top:18px}
.rec-body h3{margin:0 0 5px;font-size:17px;line-height:1.25;letter-spacing:-.01em}
.rec.lead .rec-body h3{font-size:19px}
.rec-what{margin:0 0 12px;color:var(--mut);font-size:13.5px;line-height:1.5}
.rec-what b{color:var(--ink)}
.rec-what code{background:var(--soft);border:1px solid #cfe2fb;border-radius:4px;padding:1px 5px;font-size:12px}
.chips{display:flex;flex-wrap:wrap;gap:7px;margin-bottom:10px}
.ev-note{font-size:12px;color:var(--mut);margin:-2px 0 11px}
.ev-note b{color:var(--ink)}
/* GRAFT 2d — labeled SKIP-IF row, bottom-pinned so cards align */
.skiprow{margin-top:auto;padding-top:11px;border-top:1px dashed var(--line);display:flex;gap:8px;align-items:baseline}
.rec.lead .skiprow{border-top-color:#bcd6f5}
.skiprow .lbl{font:700 9.5px/1 inherit;letter-spacing:.04em;text-transform:uppercase;color:var(--single-fg);background:var(--single-bg);border:1px solid var(--single-bd);border-radius:5px;padding:4px 7px;white-space:nowrap;flex:0 0 auto}
.skiprow .txt{font-size:12.5px;color:var(--mut);line-height:1.45}
.skiprow .txt b{color:var(--ink);font-weight:700}
/* responsive: stack proof above decision; collapse legend evidence col */
@media(max-width:720px){
.rec, .rec.lead{grid-template-columns:1fr}
.rec-proof .frame{border-right:0;border-bottom:1px solid var(--line)}
.legend-row{grid-template-columns:30px minmax(0,1fr) auto;gap:9px}
.lg-ev{display:none}
.lg-name .lg-why{white-space:normal}
}
/* ===== MOBILE-PROOF VARIANT — portrait shown WHOLE (contain), capped, uniform ===== */
.recs.mobileset .rec-proof{background:#0d1117;display:flex;align-items:center;justify-content:center;padding:16px 14px}
.recs.mobileset .rec-proof .frame{width:auto;height:auto;border:0;border-right:0;display:flex;align-items:center;justify-content:center}
.recs.mobileset .rec-proof img{width:auto;height:auto;max-height:300px;max-width:100%;aspect-ratio:auto;object-fit:contain;border:1px solid #30363d;border-radius:16px;box-shadow:0 4px 16px rgba(0,0,0,.4)}
.recs.mobileset .rec.lead .rec-proof img{max-height:320px}
.recs.mobileset .rank-badge{left:20px;bottom:20px}
.recs.mobileset .proof-src{right:20px;bottom:20px}
.recs.mobileset .proof-verdict{left:20px;top:20px}
.recs.mobileset .rec-proof.img-missing .frame{aspect-ratio:9/16;width:170px;max-height:300px}
/* ===== JS-OPTIONAL lightbox (inert without JS: display:none, no src) ===== */
#lb{display:none;position:fixed;inset:0;z-index:50;background:rgba(13,17,23,.86);align-items:center;justify-content:center;padding:28px}
#lb.open{display:flex}
#lb img{max-width:96vw;max-height:92vh;border-radius:10px;box-shadow:0 12px 40px rgba(0,0,0,.55);background:#161b22}
#lb .x{position:absolute;top:18px;right:22px;color:#fff;font:700 26px/1 inherit;cursor:pointer;background:none;border:0}
.corpus{display:flex;gap:8px;align-items:flex-start;font-size:13px;color:#8a5a00;background:#fff8e6;border:1px solid #f0e0b0;border-radius:8px;padding:9px 12px;margin:14px 0}
.corpus b{color:var(--ink)}
.ebadge{font:700 10.5px/1 inherit;letter-spacing:.02em;border-radius:20px;padding:5px 9px;display:inline-flex;align-items:center;gap:6px}
.ebadge.measured{color:#0a5d2a;background:#e6f4ea;border:1px solid #b7e0c4}
.ebadge.directional{color:#8a5a00;background:#fff8e6;border:1px solid #f0e0b0}
.ebadge.single{color:#a40e26;background:#fdeef0;border:1px solid #f5c2c7}
.caveat-inline{font:700 10px/1 inherit;color:#8a5a00;background:#fff8e6;border:1px solid #f0e0b0;border-radius:5px;padding:2px 6px;margin-left:6px}
.flip{display:grid;grid-template-columns:1fr 1fr;gap:12px;padding-bottom:8px}
@media(max-width:560px){.flip{grid-template-columns:1fr}}
.flip>figure{margin:0}
.flip>figure>img{width:100%;height:auto;max-height:580px;object-fit:contain;border:1px solid var(--line);border-radius:8px;background:#fafbfc}
.flip figcaption{font:600 12px/1.4 inherit;margin-top:5px}
.flip .side{display:inline-block;font:700 10px/1 inherit;letter-spacing:.04em;border-radius:5px;padding:3px 7px;margin-right:6px}
.flip .side.c{color:#6e7781;background:#f6f8fa}
.flip .side.v{color:#0a5d2a;background:#e6f4ea}
.flip .vd{display:block;font-weight:400;color:var(--mut);font-size:11.5px;margin-top:3px}
.flip figure.img-missing>img{display:none}
.flip figure.img-missing figcaption::after{content:' — image unavailable; see description';color:#cf222e;font-weight:400}
.rec-thumb{display:flex;gap:6px}
.rec-thumb img{height:104px;width:auto;border:1px solid var(--line);border-radius:6px;background:#fafbfc}
Markup patterns:
<!-- Patterns with evidence carousel (.deck + .pat) --><div class="pat">
<div class="pat-h">
<h3>Code visible in the hero</h3>
<span class="tag strong">Strong</span>
<span class="prev">seen in 5 of 9 references</span>
</div>
<p class="pat-claim">Table stakes: the best developer-API pages put a runnable code/trace block in the first fold instead of an illustration.</p>
<div class="deckwrap">
<div class="deck">
<figure><img src="{imageUrl}" alt="Composio" loading="lazy" onerror="this.closest('figure').classList.add('img-missing')">
<figcaption class="cap"><span class="src">[Lazyweb]</span> <b>Composio</b> — curl snippet + inline run metrics in the hero.</figcaption></figure>
<figure><img src="{imageUrl}" alt="Surge" loading="lazy" onerror="this.closest('figure').classList.add('img-missing')">
<figcaption class="cap"><span class="src">[Lazyweb]</span> <b>Surge</b> — one-line command framed as the value prop.</figcaption></figure>
<figure><img src="{imageUrl}" alt="Pulumi" loading="lazy" onerror="this.closest('figure').classList.add('img-missing')">
<figcaption class="cap"><span class="src">[Lazyweb]</span> <b>Pulumi</b> — code tabs above the fold.</figcaption></figure>
</div>
<div class="deck-nav">
<button type="button" aria-label="Previous" onclick="var d=this.closest('.deck-nav').previousElementSibling,f=d.querySelector('figure');d.scrollBy({left:-((f?f.offsetWidth:300)+12),behavior:'smooth'})">◀</button>
<button type="button" aria-label="Next" onclick="var d=this.closest('.deck-nav').previousElementSibling,f=d.querySelector('figure');d.scrollBy({left:(f?f.offsetWidth:300)+12,behavior:'smooth'})">▶</button>
</div>
</div>
</div>
<!-- Opinionated ranked pick — Decision legend + recommendation cards (big legible proof; replaces the .ranked table) -->
Emit a .legend (one .legend-row per rec, in rank order — the whole ranking at a glance) ABOVE a .recs stack of .rec cards. The #1 card is class="rec lead" (START-HERE tab + browser-chrome bar). Desktop proof = 16:10 above-the-fold crop; for a MOBILE/portrait proof wrap the stack in class="recs mobileset" and omit .browserbar/.crop-tag (whole phone screen shown). Proof is a plain <img> — legible with JS off; the ⤢ Expand/zoom is pure enhancement.
<nav class="legend" aria-label="Ranking summary">
<a class="legend-row is-lead" href="#m1"><span class="lg-rank">1</span><span class="lg-name">Runnable code/SDK block in the hero<span class="lg-why">code is the product shot — strongest dev-tool signal</span></span><span class="verdict do"><span class="ico">✓</span> Do first</span><span class="lg-ev">STRONG · 5/9</span></a>
<a class="legend-row" href="#m2"><span class="lg-rank r2">2</span><span class="lg-name">3-step “how it works” grid<span class="lg-why">Send → Track → Deliver, each with a proof</span></span><span class="verdict do"><span class="ico">✓</span> Do</span><span class="lg-ev">STRONG · 5/9</span></a>
<a class="legend-row" href="#m3"><span class="lg-rank r3">3</span><span class="lg-name">Logos + one trust metric, high<span class="lg-why">recognizable brands; one emails-sent stat</span></span><span class="verdict explore"><span class="ico">◐</span> Explore</span><span class="lg-ev">DIRECTIONAL · 4/9</span></a>
</nav>
<div class="recs">
<article class="rec lead" id="m1">
<div class="rec-proof">
<a class="frame" href="{source_url}" target="_blank" rel="noopener">
<span class="browserbar"><i></i><i></i><i></i><span class="url">{display_domain}</span></span>
<img src="{imageUrl}" alt="{what the above-the-fold crop shows}" loading="lazy" onclick="if(window.__zoom)return window.__zoom(this);" onerror="this.closest('.rec-proof').classList.add('img-missing')">
<span class="fallback">Proof image unavailable — {one-line description of the reference}.</span>
</a>
<span class="rank-badge"><span class="num">1</span><span class="lbl">Do next</span></span>
<span class="proof-verdict"><span class="verdict do"><span class="ico">✓</span> Do first</span></span>
<span class="crop-tag">DESKTOP · 16:10 above-the-fold</span>
<button type="button" class="zoombtn" aria-label="Expand proof" onclick="window.__zoom && window.__zoom(this.parentNode.querySelector('img'))">⤢ Expand</button>
<span class="proof-src">Proof · <b>{Company}</b></span>
</div>
<div class="rec-body">
<h3>{recommendation title}</h3>
<p class="rec-what">{one–two sentence why, with <b>key terms</b> and inline <code>code</code> where useful}</p>
<div class="chips"><span class="ebadge strong"><span class="dot"></span> Strong evidence</span></div>
<p class="ev-note">{pattern} seen in <b>5 of 9</b> references reviewed; no measured lift in-corpus.</p>
<div class="skiprow"><span class="lbl">Skip if</span><span class="txt">{the one-line condition under which this move is wrong}.</span></div>
</div>
</article>
<!-- repeat <article class="rec" id="m2">…</article> per rank (no `lead`; START-HERE tab + browserbar are #1-only). Skip rows still SHOW their proof so the skip is demonstrated, not asserted. -->
</div>
<!-- MOBILE/portrait proof: <div class="recs mobileset"> … same cards, omit .browserbar + .crop-tag (whole screen shown, contain). -->
<!-- Place once at end of <body>; JS-OPTIONAL (proof already legible without it): -->
<div id="lb" aria-hidden="true"><button type="button" class="x" aria-label="Close">×</button><img alt="Expanded proof"></div>
<script>document.body.classList.add('has-js');var _lb=document.getElementById('lb'),_i=_lb&&_lb.querySelector('img');window.__zoom=function(g){if(!_lb)return false;_i.src=g.currentSrc||g.src;_lb.classList.add('open');return false;};if(_lb)_lb.addEventListener('click',function(){_lb.classList.remove('open');_i.removeAttribute('src');});</script>
<!-- Evidence-strength badge + corpus banner (.ebadge / .corpus) -->
<div class="corpus"><span>⚠</span><p style="margin:0"><b>Evidence basis:</b> 9 Lazyweb screenshots, no live web captures this run, similarity 0.4–0.6 — treat prevalence claims as <b>directional</b>, not measured.</p></div>
<!-- per-claim / per-rec badge -->
<span class="ebadge directional">Directional · 5/9 refs · no outcome data</span>
<span class="ebadge measured">Measured · exp 3/3 · sim 0.55</span>
<span class="ebadge single">Single-experiment · off-category</span>
<!-- crawl-seed / inferred-brand caveat on a deck card -->
<figcaption class="cap"><span class="src">[Lazyweb]</span> <b>SendGrid</b> <span class="caveat-inline">brand inferred from URL/vision — verify</span> — enterprise tier hero.</figcaption>
<!-- Control / variant (.flip) -->
<div class="flip">
<figure><img src="{control.imageUrl or control.image_url}" alt="Control" loading="lazy" onerror="this.closest('figure').classList.add('img-missing')">
<figcaption><span class="side c">CONTROL</span><span class="vd">{control.vision_description}</span></figcaption></figure>
<figure><img src="{variant.imageUrl or variant.image_url}" alt="Variant" loading="lazy" onerror="this.closest('figure').classList.add('img-missing')">
<figcaption><span class="side v">VARIANT</span><span class="vd">{variant.vision_description OR, if empty: a description synthesized from what_changed} <span class="caveat-inline">agent-described</span></span></figcaption></figure>
</div>
<!-- inline proof pair inside a ranked recommendation row -->
<td class="rec-thumb"><a href="#exp-fae32674"><img src="{control.imageUrl or control.image_url}" alt="control"><img src="{variant.imageUrl or variant.image_url}" alt="variant"></a></td>
Report footer (REQUIRED — the very last element of the report)
End every report with this footer (add the CSS to <style>):
<footer class="lw-foot">Powered by <a href="https://www.lazyweb.com">Lazyweb</a> — turn your agent into a design researcher… for free!</footer>
.lw-foot{margin-top:34px;padding-top:14px;border-top:1px solid var(--line);text-align:center;font-size:13px;color:var(--mut)}
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