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AR-001 · State of AI Agent Trust 2026
Published · 24 sources · v2.3
EXECUTIVE SUMMARY
AI agent capability doubles every 7 months. Governance updates annually. Enterprises are in a trust race they're structurally guaranteed to lose.
47 pages in 10 min
full research report
73% confidence
every claim scored E/I/J/A
KEY INSIGHT
Not just faster research: more honest research. Every gap disclosed, every uncertainty flagged. Output you can stake decisions on.
WHY TRUST MATTERS
Every claim is tagged by evidence type: so you know exactly what you're trusting.
Trust isn't a feature. It's the product.
E
EmpiricalPeer-reviewed, surveys, benchmarks
I
IndustryAnalyst reports, market data
J
JournalisticVerified reporting, named sources
A
AnecdotalCase studies, estimates
73% confidence: because you should know what you don't know.
3 synthesis rounds · 73% confidence
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Research AI Agent Trust 2026 Companies Startup / VC Custom task
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Your AI team. From complex task to trusted output in minutes.

Strategic research, synthesis, verification: automated. Your expertise, judgment, and client relationships: amplified.

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In a world of noise, clarity wins.

Trust is earned. Our AI systems operate under one principle: Every claim sourced, every gap disclosed, every confidence scored.

Source-backed

Every claim links to its source. Sources scanned daily:

SEC Filings · Annual Reports · ArXiv Papers · News Wires · Industry Reports · Patent Databases · Market Data · GitHub · Reddit · Hacker News
Honest about gaps

Confidence indicators on every insight. You see exactly where data is strong and where it's missing.

●●●High confidence: strong data from multiple sources
●●●Medium: limited but reliable sources
●●●Low: speculative, handle with care
Operator perspective

Built by someone who runs businesses: not a research lab. Applied AI for real decisions, not academic theory. Every report is executed by a specialized AI system.

Researcher Analyst Strategist Critic Synthesizer
80%
faster task completion
Anthropic Research, 2025
~10 min
per task
Ainary, system average
2-3×
more output per person
McKinsey State of AI, 2025

Real work. Created by AI.

These are published research reports: generated, verified, and synthesized by our AI system. Customizable to your industry.

AR-001 HIGH
State of AI Agent Trust 2026

Comprehensive analysis of trust frameworks, safety benchmarks, and governance patterns across autonomous AI agent deployments.

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AR-031 HIGH
Personal AI Stack Architecture 2026

How to design a personal AI operating system: from knowledge management to multi-agent orchestration for daily workflows.

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AR-032 HIGH
Knowledge Compounding: Obsidian + Agent

How structured knowledge bases combined with AI agents create compounding returns on intellectual capital over time.

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About

Florian Ziesche

Too many of my best working days went to reporting, compliance, and documentation: necessary work that didn't move anything forward. Ten years of building software and AI systems, raising capital, and winning clients, and still: the admin always won.

Last year, I started building an AI system for myself. Task by task, it took over the repetitive work. My role shifted from doing the work to directing it. Research that took days now takes minutes. Documentation that buried my evenings got automated.

Now I'm making it accessible: for founders, small businesses, and anyone buried in work that a machine should be doing. The goal isn't to produce more. It's to free you for the work that matters.

Florian Ziesche, Founder

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