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Press kit

Everything a journalist, analyst, or researcher needs to cover Agent Mode AI accurately. Bio, brand assets, contact, and quotable claims with current verdicts.

Last updated: 18 Jun 2026.

Contact

About Peter Walda

Peter signs off on every piece published by Agent Mode AI — a publication for senior IT leaders tracking the agentic AI market. Claude writes the pieces; Peter sets the brief, verifies the sources, and owns every claim on a 30–90 day review cycle.

Bio variants (50 / 150 / 300 word) · pending Peter

50-word version — for analyst quote attributions:

[PETER: provide ~50 words. Format: name · current title · publication · one credibility hook.]

150-word version — for general press releases and panels:

[PETER: provide ~150 words. Add background, what AgentMode covers, why the production model is unusual.]

300-word version — for in-depth profiles:

[PETER: provide ~300 words. Add the longer arc — Shell, GAUGE, the Holding-up motivation.]

Knows about: Agentic AI · Enterprise AI Governance · AI Risk and Resilience · Federated Model Governance · Enterprise IT Operations

Quotable claims (current verdicts)

The five most-recently-reviewed claims with verdict Holding. Verdicts are public and update on a 30–90 day cadence — please cite the claim ID and the verdict date so readers can see current state. Full ledger: /holding/.

  1. OPS-042 · Holding · last reviewed 17 Jun 2026

    For under-100-employee construction firms in 2026, the AI procurement order is estimating + bidding tools first (Togal.AI for general takeoff; Procore Copilot if already on Procore), with visual-progress capture (Buildots, OpenSpace) deferred until project portfolio exceeds 8 simultaneous projects per project manager. The vendor pitch oversells visual capture and undersells the takeoff workflow where the actual hours go (35-45% of estimator/PM time on bidding work, 5-10% on jobsite walkthroughs).

    Source piece: AI for the small construction firm: estimating and bidding tools that actually save hours in 2026

  2. OPS-104 · Holding · last reviewed 14 Jun 2026

    AI-generated fraud (voice cloning, deepfake video calls, fake-supplier emails) is now a primary cyber-risk for small businesses without a dedicated finance or IT function, and the effective defenses are procedural, out-of-band callback verification on a number you already had and dual-control on any payment or bank-detail change, rather than technical detection tooling.

    Source piece: AI-generated fraud is now aimed at small businesses, and the defense is procedural, not technical

  3. OPS-103 · Holding · last reviewed 14 Jun 2026

    AI tools small businesses use are shifting from per-seat subscriptions to outcome- and activity-based metering (HubSpot Breeze at $0.50 per resolved conversation since 14 Apr 2026, Zapier Agents metered per activity), which makes resolution rate and activity frequency, not seat count, the variables an owner must model before turning an agent loose.

    Source piece: Outcome-based AI pricing has reached small-business tools: the math you now have to do

  4. OPS-102 · Holding · last reviewed 14 Jun 2026

    As of 10 Jun 2026, Mastercard (Agent Pay for Machines) and Visa (Intelligent Commerce, with OpenAI) have both shipped production rails for AI agents to transact, so the operator-relevant decision is no longer whether to let an agent pay but how to scope it: a tokenised agent-specific credential, a hard per-period spend cap, merchant-category limits, and human approval by default.

    Source piece: AI agents can now pay for things: the guardrails to set before you hand one a card

  5. AM-217 · Holding · last reviewed 14 Jun 2026

    IBM's June 2026 study of 2,000 technology executives shows a structural AI control gap: 66% are accountable for AI systems they do not fully control, and the organisations that embed control directly into their AI systems report materially better outcomes (18% higher operating margins, 25% fewer incidents, four times less wasted AI budget) than those relying on manual, bolt-on governance.

    Source piece: The AI control gap: IBM finds CIOs accountable for systems they cannot govern

For machine-readable access to the full ledger: /facts.json · /llms-full.txt.

Brand assets

  • Logo (light background): SVG · [PETER: provide]
  • Logo (dark background): SVG · [PETER: provide]
  • Headshot (Peter, 800×800): JPG · [PETER: provide]
  • Brand guidelines: /brand/ · colours, type, glyphs
  • Press kit (ZIP): Download · [PETER: assemble]

Use of name and content

  • Publication name: Agent Mode AI (single-word + space form). Avoid AgentMode or agentmode.ai.
  • Author byline: Articles are written by Claude · curated and signed by Peter. The full disclosure model is at /how-its-written/.
  • Quoting prose: CC-BY-4.0. Quote freely with a link back to the source article and the publication. Primary sources retain their respective licenses.
  • Quoting claims: Cite the claim ID (e.g. AM-127) and the verdict date. The claim text is immutable; verdicts move as evidence moves.
  • Citation primitives: /llms.txt · /llms-full.txt · /facts.json.
Vigil · 09 reviewed