Live Observatory

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Actually Real

The pragmatic observatory for AI-native commerce. Track what works, predict what's next, build what matters.

Claude Tool Use — Best-in-class for complex multi-step tool chains, occasional over-eagerness 2026-03-17 Model Context Protocol (MCP) — Tool calling works reliably, resource subscriptions still unstable 2026-03-16 GPT-4o Function Calling — Reliable for simple schemas, complex nested objects still fail 5-10% of time 2026-03-16 Astro 5 — Content collections excellent, React island hydration reliable, build times fast 2026-03-16 Stripe Connect v2 — Solid platform, onboarding UX improved significantly, still complex for marketplaces 2026-03-15 Bun Runtime — Fast for scripts and builds. Node.js compat improved but edge cases remain. Not yet safe for critical production APIs. 2026-03-15 Model Context Protocol (MCP) — Authentication story still weak, relies on ambient credentials 2026-03-14 Cloudflare Workers AI — Inference speed excellent, model selection limited vs dedicated providers 2026-03-14 D3.js v7 — Mature and reliable. Learning curve steep but ecosystem deep. SSR support still manual. 2026-03-14 n8n Workflow Automation — Self-hosted works well. Cloud version has occasional webhook reliability issues. 2026-03-14 Supabase Edge Functions — Cold starts improved but still 200-500ms, fine for non-latency-critical 2026-03-12 Agent-to-Agent Protocol (A2A) — Google-backed but very early. Reference implementations only. No production deployments found. 2026-03-12 Claude Tool Use — Best-in-class for complex multi-step tool chains, occasional over-eagerness 2026-03-17 Model Context Protocol (MCP) — Tool calling works reliably, resource subscriptions still unstable 2026-03-16 GPT-4o Function Calling — Reliable for simple schemas, complex nested objects still fail 5-10% of time 2026-03-16 Astro 5 — Content collections excellent, React island hydration reliable, build times fast 2026-03-16 Stripe Connect v2 — Solid platform, onboarding UX improved significantly, still complex for marketplaces 2026-03-15 Bun Runtime — Fast for scripts and builds. Node.js compat improved but edge cases remain. Not yet safe for critical production APIs. 2026-03-15 Model Context Protocol (MCP) — Authentication story still weak, relies on ambient credentials 2026-03-14 Cloudflare Workers AI — Inference speed excellent, model selection limited vs dedicated providers 2026-03-14 D3.js v7 — Mature and reliable. Learning curve steep but ecosystem deep. SSR support still manual. 2026-03-14 n8n Workflow Automation — Self-hosted works well. Cloud version has occasional webhook reliability issues. 2026-03-14 Supabase Edge Functions — Cold starts improved but still 200-500ms, fine for non-latency-critical 2026-03-12 Agent-to-Agent Protocol (A2A) — Google-backed but very early. Reference implementations only. No production deployments found. 2026-03-12

Three Lenses on the Future

Pragmatic intelligence for the agentic economy. No hype, no spin — just evidence, accountability, and ambition.

OBSERVE

Implementation State Map

Crowd-sourced, trust-weighted evidence of what technology actually works vs. what vendors claim. Sorted by Readiness Gap.

20 technologies | 2642 signals

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PREDICT

Prediction Ledger

Public, timestamped, falsifiable technology predictions. Brier-scored accountability — no hiding from wrong calls.

20 active | 0 resolved

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BUILD

Civilization Tech Tree

Humanity's possible futures as navigable dependency graphs. Each vision connects aspiration to reality through verifiable prerequisites.

5 visions | 236 prerequisites

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Biggest Readiness Gaps

Technologies with the largest gap between vendor claims and verified reality.

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-57

Shopify Agentic Storefronts

Commerce

Verified: 28% Claimed: 85%

-40

WebXR Device API

Infrastructure

Verified: 25% Claimed: 65%

-40

W3C Verifiable Credentials

Security

Verified: 30% Claimed: 70%

-40

ML-DSA-65 (Post-Quantum Signatures)

Security

Verified: 15% Claimed: 55%

-35

Google Universal Checkout Protocol

Standards

Verified: 35% Claimed: 70%

-35

Visa Trusted Agent Protocol (TAP)

Standards

Verified: 10% Claimed: 45%

Standards We Advocate

Open protocols that prioritize human welfare and enable trustworthy AI commerce.

Explore standards infrastructure

Research

Deep dives into the architecture, ethics, and economics of the agentic economy.

Three Layers of Agent Trust

AP2 / ACP / TAP architecture analysis

AI-Native Commerce Future

How AI agents reshape digital markets

Why Dual Protocol Matters

The competitive moat of AP2 + ACP integration

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See What's Actually Real