diff --git a/Business/Nate Corpus/2026-05-18_same-model-78-vs-42-the-harness-made.md b/Business/Nate Corpus/2026-05-18_same-model-78-vs-42-the-harness-made.md new file mode 100644 index 0000000..7f86822 --- /dev/null +++ b/Business/Nate Corpus/2026-05-18_same-model-78-vs-42-the-harness-made.md @@ -0,0 +1,124 @@ +--- +title: "Harness > Model: 78% vs 42% на одной модели" +slug: same-model-78-vs-42-the-harness-made +source: https://natesnewsletter.substack.com/p/same-model-78-vs-42-the-harness-made +author: Nate Jones (natesnewsletter.substack.com) +published: 2026-03-06 +processed: 2026-05-18 +type: video +themes: + - "[[Harness]]" + - "[[Moat]]" + - "[[Agentic Workflow]]" + - "[[Implementation Layer]]" +frameworks: + - "[[Harness Audit]]" + - "[[Workflow Completion]]" + - "[[Evals]]" +terminology: + - "[[Harness]]" + - "[[Evals]]" + - "[[Moat]]" + - "[[Implementation Fabric]]" + - "[[Forward Deployed Engineer]]" + - "[[Frontier Labs]]" + - "[[Implementation Layer]]" +--- + +# Harness > Model: 78% vs 42% на одной модели + +## Главный тезис + +> "They compared the wrong thing." +> *Они сравнивали не то.* + +Сообщество разработчиков потратило три недели на сравнение Claude Opus 4.6 и GPT-5.3-Codex — и сравнивало не то. Модель — это мозг. [[Harness]] — это всё остальное: где AI запускается, что он помнит между сессиями, к каким инструментам имеет доступ, как управляет параллельными задачами, насколько глубоко ваша команда строит зависимость каждую неделю. + +**Ключевая цифра:** та же самая модель набрала 78% в одном [[Harness|харнессе]] и 42% в другом. Стандартный процесс [[Evals|эвалюации]] эту разницу не поймает. + +--- + +## Два харнесс-беттинга: Claude Code vs Codex + +| Параметр | Claude Code | Codex (OpenAI) | +|---|---|---| +| Среда запуска (EN: runtime) | Ваш локальный environment, полный доступ к машине | Изолированная «запечатанная комната» (sealed room) с копией кода | +| Память проекта (EN: project memory) | Накапливается между сессиями | Отсутствует; каждый запуск с нуля | +| Режим работы | Открытый, в реальном окружении | Приватное мышление → готовый результат «под дверь» | +| Конвергенция | Нет — оба бетта работают, ни один не движется к другому | | + +Оба подхода жизнеспособны. Ни один не становится другим. Это не конкуренция — это **два разных контракта** с командой. + +--- + +## Механизм lock-in: накопленные слои + +> "One developer built six layers of workflow automation over a few months, each layer depending on the previous one." +> *Один разработчик выстроил шесть слоёв автоматизации за несколько месяцев — каждый опирается на предыдущий.* + +Переход на другой харнесс сбрасывает все слои в ноль. Умноженный на каждого инженера в команде — это **harness lock-in**, который никто не закладывает в стоимость решения. + +**Пять архитектурных решений**, которые компаундируют зависимость прямо сейчас (каждое отдельно, все вместе): +1. Где хранится память проекта +2. Какие инструменты доступны агенту +3. Как управляются параллельные задачи +4. Насколько глубоко команда строит [[Workflow Completion|завершение рабочих процессов]] поверх харнесса +5. Как харнесс накапливает контекст между сессиями + +--- + +## Экономика: кейс Cursor + +Cursor — компания с оценкой $2 млрд, тратящая 100% выручки на API-costs. Это **слепое пятно экономики харнессов**: когда инструмент становится [[Implementation Layer|слоем реализации]], стоимость переключения растёт быстрее, чем стоимость использования. + +--- + +## Инструменты из материала + +### 1. Harness Audit (5 измерений) +Промпт, который: +- спрашивает, что вы построили +- картирует уязвимости зависимости +- говорит, что делать на этой неделе + +### 2. Executive Brief Generator +Переводит аудит в инженеро-недели и деньги — для выравнивания leadership на харнесс-решение как стратегическом обязательстве, а не покупке инструмента. + +--- + +## Терминология + +| RU | EN | Wikilink | +|---|---|---| +| Харнесс | Harness | [[Harness]] | +| Запечатанная комната | Sealed room | — | +| Зависимость от харнесса | Harness lock-in | — | +| Слой реализации | Implementation layer | [[Implementation Layer]] | +| Оценка качества | Evals | [[Evals]] | +| Ров / конкурентная защита | Moat | [[Moat]] | +| Ткань реализации | Implementation fabric | [[Implementation Fabric]] | +| Фронтовой инженер | Forward Deployed Engineer | [[Forward Deployed Engineer]] | +| Завершение рабочих процессов | Workflow Completion | [[Workflow Completion]] | + +--- + +## Что использовать для нашего портфеля + +Как **AI-интегратор**, работающий через [[Implementation Layer]] и продающий через PE-канал: + +1. **Harness — наш продукт, не модель.** Клиент не покупает доступ к GPT или Claude — он покупает накопленный [[Harness]], выстроенный вокруг его [[Systems of Record|систем записи]]. Это наш [[Moat]]. + +2. **Шесть слоёв накопления = питч для PE.** Каждый слой [[Agentic Workflow|агентного воркфлоу]], построенный поверх клиентской инфраструктуры, увеличивает стоимость переключения и защищает recurring revenue. PE понимает этот язык. + +3. **[[Implementation Fabric]] как harness-стратегия.** Наша [[Implementation Fabric]] — это и есть харнесс: память проекта, инструменты, интеграции с [[Business Object|бизнес-объектами]]. Важно артикулировать это явно в клиентских документах. + +4. **Harness Audit как точка входа.** 2 промпта из материала — готовый discovery-инструмент: аудит текущего харнесса клиента покажет, где он уязвим и где мы добавляем ценность. + +5. **[[Forward Deployed Engineer]] модель.** Anthropic строит enterprise AI services для mid-market именно потому, что [[Implementation Layer]] требует присутствия. Это подтверждает нашу модель FDE-доставки. + +--- + +## Открытые вопросы + +- Как нам измерять «глубину харнессной зависимости» у клиента на этапе discovery — какие 3–5 вопросов дают сигнал быстрее всего? +- Есть ли у нас внутренний аналог «harness audit»-промпта, который можно показывать на первой встрече с PE-портфельной компанией? \ No newline at end of file diff --git a/Business/Nate Corpus/2026-05-18_same-model-78-vs-42-the-harness-made.transcript.md b/Business/Nate Corpus/2026-05-18_same-model-78-vs-42-the-harness-made.transcript.md new file mode 100644 index 0000000..0fd3c45 --- /dev/null +++ b/Business/Nate Corpus/2026-05-18_same-model-78-vs-42-the-harness-made.transcript.md @@ -0,0 +1,169 @@ +Claude Code and Codex bet on different harnesses. 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Please upgrade. +152 +14 +9 +Claude Code and Codex bet on different harnesses. Your team is compounding one of them every week + 2 prompts to audit which. +Get ready: I'm going to be talking about harnesses a LOT. +Nate +Mar 06, 2026 +∙ Paid +152 +14 +9 +Share +On February 5th, Anthropic dropped Claude Opus 4.6, and within the hour, OpenAI responded with GPT-5.3-Codex. The developer community spent the next three weeks running benchmarks, writing comparisons, and arguing about which model won. +They compared the wrong thing. +The model is the brain. The harness is everything else: where the AI actually runs, what it remembers between sessions, which tools it can touch, how it manages multiple tasks at once, and how deep your team’s dependency grows every week you build around it. Claude Code and Codex are making genuinely different bets about all of that. One works in your environment with full access to your machine, building up memory of your project over time. The other works in a sealed room with a copy of your code, thinks privately, and slides finished results under the door. Both bets are working. Neither is converging toward the other. And every week your team spends inside one harness is another week of compounding dependency that gets more expensive to undo. +One developer built six layers of workflow automation over a few months, each layer depending on the previous one. He couldn’t have started with the final version. It only works because it accumulated. If he switched harnesses tomorrow, every layer resets to zero. Now multiply that by every engineer on your team. That’s the lock-in nobody is pricing into their decisions, and it’s the most expensive blind spot in software tooling right now. +Here’s what’s inside: +The number that makes the thesis concrete. +The same model scored 78% in one harness and 42% in another. Your evaluation process wouldn’t catch the difference. +Five architectural decisions locking your team in right now. +Whether you chose them deliberately or not, each one compounds separately. All five compound together. +The $2 billion company spending 100% of its revenue on API costs. +What Cursor’s trajectory reveals about the economics everyone is ignoring. +A harness audit that scores your lock-in across five dimensions and routes your actual work to the right tool. +The prompt asks what you’ve built, maps where you’re exposed, and tells you what to do about it this week. +An executive brief generator that translates your audit into engineering-weeks and dollars. +For getting leadership aligned on the harness decision as a strategic commitment, not a tool purchase. +The prompts in the kit are where this stops being an argument and becomes a decision you can actually make. Let’s get into it. +Subscribers get all posts like these! +Subscribe +Listen to this episode with a 7-day free trial +Subscribe to +Nate’s Substack +to listen to this post and get 7 days of free access to the full post archives. +Start trial +Already a paid subscriber? +Sign in +Nate's Notebook +Welcome to my podcast! In these audio reviews of my newsletters, I am to break down complex AI topics in a way that's approachable and relatable. I want you to walk away with the confidence to leverage AI more effectively at home and at work! +Welcome to my podcast! In these audio reviews of my newsletters, I am to break down complex AI topics in a way that's approachable and relatable. I want you to walk away with the confidence to leverage AI more effectively at home and at work! +Subscribe +Listen on +Substack App +RSS Feed +Appears in episode +Nate +Recent Episodes +Executive Briefing: Stop asking if AI can do this. 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