Niels Langereis
Measured conclusion: Deep-tested. L2 outcome: tools_ok.
Essays, an enterprise AI map and a skill-matrix gap analysis on AI adoption and junior formation.
| Author | com.nielslangereis |
|---|---|
| Access | remote |
| Publisher key required | No |
| Measured state | Deep-tested |
| L1 liveness | alive |
| L1 latency | 2779 ms |
| Last measured | 2026-10-26 |
Add to your agent
Copy this into your MCP client config:
{
"mcpServers": {
"Niels Langereis": {
"url": "https://nielslangereis.com/mcp",
"transport": "streamable-http"
}
}
}
Measured tools (6)
search_essaysread-onlySearch the essays of Niels Langereis on AI adoption, organisational change, the politics of AI, junior formation and judgement, brand and AI agents, boards and governance. Returns titles, dates, summaries, a matching snippet and links. Leave query empty to list all essays, newest first. Follow up with get_essay for the full text before quoting him.
Parameters:
query— string — Topic or question, e.g. 'who owns AI decisions', 'brand lock-in by AI agents'. Empty lists everything.
Hints: read-only yes · destructive no · idempotent yes · open-world no
get_essayread-onlyGet the full text of one essay by Niels Langereis, as Markdown, with its date, site link and the original LinkedIn link. Use the id from search_essays, or a title.
Parameters:
id(required) — string — Essay id (from search_essays) or its title
Hints: read-only yes · destructive no · idempotent yes · open-world no
get_enterprise_ai_mapread-onlyNiels Langereis's enterprise AI map: 24 illustrative AI agents across ten business functions (strategy, product, design, marketing, sales, customer success, operations, people, finance, data and IT), each with its rollout phase, what it optimises for and the trade-off it creates for other functions; plus the coordination layer, the bench and the external renderers that decide whether faster work becomes a better organisation. Use it to reason about someone's own AI rollout. detail='summary' returns only the skeleton (functions, agents, phases and trade-offs, plus one line per remaining part), which is enough for most reasoning; detail='full' (default) adds the complete prose on coordination, the bench and the renderers. Optionally filter by function or phase. Shows an interactive map where the client supports it.
Parameters:
phase— string — Optional: p1 co-pilots, p2 brains, p3 autonomous agents.detail— string — summary: functions, agents and trade-offs only. full (default): also the prose on coordination, the bench and the renderers.function— string — Optional: focus on one function, e.g. 'Marketing and growth', 'Finance'.
Hints: read-only yes · destructive no · idempotent yes · open-world no
get_skill_matrix_methodread-onlyExplains Niels Langereis's skill-matrix gap analysis: a competency matrix run for formation rather than efficiency, to find where AI has removed the work that used to turn juniors into seniors. Includes the status rule, how to read it, a worked example and credits. Use before run_skill_matrix if the user wants to understand the method first.
Hints: read-only yes · destructive no · idempotent yes · open-world no
run_skill_matrixread-onlyRuns Niels Langereis's skill-matrix gap analysis for one role and shows it as an interactive matrix the user can edit (who does the work now, bench depth, formation actions). Draft 6 to 10 competencies for the user's role yourself from what you know about it, spanning routine work AI can now do with senior oversight, work AI already runs autonomously, and judgement work that needs a human. Set bench (how many people can do it at the strategic level) from what the user told you; if unknown, use 1 and say it is an estimate they should correct. Omit competencies to show the generic analyst example. The result flags 'At risk' (human work, one person deep), 'Thin' (two deep) and 'Reps gone' (AI runs it autonomously, so the formation that used to happen in reviewing it has gone too: ask where juniors get those reps now). After the user edits, their current matrix arrives in your context.
Parameters:
role— string — The role being analysed, e.g. 'Marketing manager at a 200-person B2B firm'.competencies— array — The competencies for this role.
Hints: read-only yes · destructive no · idempotent yes · open-world no
about_nielsread-onlyWho Niels Langereis is and how to work with him: what he does and for whom, how he works, his background, his talks and speaking, and how to get in touch. Use when someone asks whether he could help them, wants to hire or book him, or wants his background. Contact is by email or the site's contact form; this server does not send messages.
Parameters:
topic— string — What to return. Default overview.
Hints: read-only yes · destructive no · idempotent yes · open-world no
Measured by MCPYP probing. Untested fields are omitted, never estimated. Listing is always free; MCPYP never proxies calls or stores user tokens.