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InsightsLong-form, written by the founder

Notes from the build floor. What actually ships.

Long reads on AI systems, adoption, and what they cost. No filler.

The index23 articles
01

Adoption

The 70 percent adoption bar.

Why we hold every system to 70 percent weekly-active use by day 90, and how the Adoption Mile gets there.

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02

Reliability

What an eval harness does, and when you need one.

What eval harnesses and reliability gates are, and when a production AI system needs them.

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03

Private equity

The sponsor mandate gap.

Accordion's May 2026 survey of 150 PE operating partners: 98 percent of sponsors have mandated AI adoption while only about half of portfolio companies are actively implementing. Source: accordion.com/the-pe-ai-adoption-benchmark.

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04

Delivery

10 to 14 weeks to production.

What happens between kickoff and a live production system.

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05

Diagnostics

Two weeks, one workflow, a build decision.

How the fixed-fee Forge Diagnostic works.

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06

Strategy

The ClearForge AI transformation maturity model.

A five-level model: Tool Use, Pilot Activity, Workflow Adoption, Operating Cadence, Learning System. Most companies sit between the first two.

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07

Strategy

Why AI pilots fail to become operating systems.

Pilots stall when the owner, data path, controls, and cadence never change. The five missing pieces and a six-question test.

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08

Agents

The custom agent stack for mid-market companies.

The six layers of a working agent stack: triggers, context, workflows, review, integration, and measurement. Build the smallest stack that moves the KPI.

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09

Private equity

How PE firms turn AI experiments into EBITDA.

Diagnose value pools, score readiness, choose plays over pilots, install governance, and measure EBITDA-linked KPIs on a portfolio cadence.

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010

Strategy

The widening AI value gap.

The gap between companies that turn AI into operating performance and companies that only produce AI activity, why it is widening, and the sequence that closes it.

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011

Agents

AI agents are the new workforce.

Agents are a new class of digital worker for repeatable execution. Five CEO moves: define agent-eligible work, set authority boundaries, redesign roles, build controls, expand on a rhythm.

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012

Modernization

Your legacy systems do not have to die.

A bridge strategy connects legacy systems to modern data and execution layers: integration adapters, phased modernization, and controlled risk instead of rip-and-replace.

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013

Strategy

Why AI pilots fail, and the five things that work.

The five failure modes that repeat across sectors, the five practices that convert pilots to production, and a 90-day blueprint.

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014

Workforce

The hybrid workforce playbook.

Five principles for hybrid workforce design: workflow economics, explicit decision rights, role redesign, a capability ladder, and joint performance measurement.

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015

Agents

Why AI agents that learn beat one-time implementations.

AI systems are living infrastructure. Without a managed operations cadence after launch, value decays.

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016

Strategy

The CEO's guide to AI readiness.

Five readiness pillars, scored honestly. Then fix the one bottleneck blocking your first measurable AI outcome.

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017

Private equity

AI value creation in private equity: find it, build it, prove it.

AI value creation in private equity, step by step: diligence that starts from earnings, a business case ranked by payback, systems built inside the company, adoption with a date on it, and a monthly scoreboard the operating team can compare across the portfolio.

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018

Private equity

How to choose an AI partner for your portfolio companies.

A buyer’s guide for private equity operating partners choosing an AI consulting or implementation partner for portfolio companies: ten questions, good answers and warning signs, covering earnings, building, adoption, control, proof, ownership and portfolio reporting.

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019

Operations

The hidden cost of manual processes.

Manual processes do not appear as a line item. Map one workflow end to end, quantify time and errors, then prioritize.

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020

Agents

AI agents, explained.

A working definition, the agent-vs-automation-vs-copilot comparison, where agents earn their keep, and the six control questions to ask before one touches production data.

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021

Pricing

What AI consulting costs across the market.

Market bands in 2026: fixed-fee diagnostics, implementation sprints, enterprise programs, and managed operations. What drives price, and where our tiers sit.

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022

Diagnostics

How to run an AI readiness assessment.

An assessment should test whether one workflow is ready for a production build. Free scorecards for self-education, paid diagnostics when real budget is on the line.

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023

Leadership

Fractional Chief AI Officer: when to hire one.

Fractional CAIOs run $5K to $25K per month across the market, against $350K to $600K loaded comp for full-time. When each model fits, and how to evaluate a candidate.

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Next stepFixed price · 2 weeks

Start with the fixed-fee Diagnostic.