envisioning.com valid
Envisioning - LLM-Readable Site Information
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T10:07:06.762Z. Cached copy · Source on envisioning.com
# Envisioning - LLM-Readable Site Information
# Generated: 2026-10-21T10:07:06.253Z
# Website: https://www.envisioning.com
# Full technology index: https://www.envisioning.com/llms-full.txt
# Full vocabulary index: https://www.envisioning.com/llms-vocab.txt
# Brand and design system: https://www.envisioning.com/design.md
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# KEY PAGES
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Quick directory of major pages and what they cover:
Main pages:
- / — Homepage: a research institute studying how institutions adapt to technological change
- /about — About Envisioning: what we study, the team, and what we believe
- /capability — Adaptive capacity: the research program, its seven dimensions, and what would prove it wrong
- /capability/national — National Capability Benchmark (NCB): 53 countries, nine dimensions, no ranking; the benchmark itself is at https://ncb.envisioning.com
- /capability/organizations — Organizational Capability Benchmark (OCB): seven dimensions, the assessment design, a profile instead of a score
- /hindsight — Hindsight: published forecasts from 36 series (IMF, OECD, Gartner, Deloitte, Kurzweil, The Economist and others) graded against what happened, with intervals and audits; publishers side by side, never ranked. Publisher pages at /hindsight/[publisher], series at /hindsight/[publisher]/[series], claim permalinks at /hindsight/claims/[id], and every forecast about one subject across publishers at /hindsight/subjects/[id] (all listed in /sitemap-hindsight.xml). Each claim and subject page has a citation line. Dataset (CC BY 4.0, CITATION.cff) and rules at https://github.com/envisioning/hindsight
- /hindsight/findings/hype-cycle — How accurate is the Gartner Hype Cycle? Every edition of the Hype Cycle for Emerging Technologies since 1995, its dated placements graded against blind adoption timelines: hit rate by time-to-plateau band, renames and drops, and the technologies that never went mainstream
- /about/brand — Brand guidelines and downloadable assets
- /about/community — WhatsApp community channels for practitioners
- /about/manifesto — Manifesto: open research, partner delivery, and why the capacity to act on research should not be rationed
- /research — Research hubs: living technology intelligence collections
- /research/origins — Origins: emerging technologies traced to their science-fiction and cultural roots
- /vocab — Vocabulary: living AI/ML encyclopedia of terms, concepts, and technologies
- /observatory — Published research reports and analyses
- /methodology — Methodology: how we map what is emerging, from framing a question to a radar a team can argue with
- /newsletter — Artificial Insights: the newsletter archive
- /events — Upcoming and past events calendar
- /partners — Partner program and ecosystem
- /contact — Get in touch for partnerships or inquiries
- /demo/create — Try a demo radar visua
…
Machine-readable: GET /v1/resolve?q=envisioning.com · GET /v1/domain/envisioning.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
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