AI DevelopmentRedpoint (Tomasz Tunguz)

Not Prompts, Blueprints

Wednesday, March 4, 2026Read original

Why I picked this

Ties to what I wrote on executing PRDs and long running loops

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“Not prompts. Blueprints. I sketch the workflow before I touch the machine. I anticipate the decision branches before the agent encounters them.”

AI capability evolution enables shift from sequential prompting to parallel workflow execution - models can now 'hold complex tasks in their heads' vs a year ago
User behavior must evolve from reactive (prompt-response-prompt) to proactive (blueprint-then-execute) to unlock true leverage - planning upfront eliminates human bottleneck
Visual workflow blueprints (hand-drawn diagrams) work effectively as AI inputs - anticipating decision branches and edge cases before execution is the new skill
Real example: VC workflow (meeting notes → email → CRM → memo) now runs autonomously in background after single blueprint input vs iterative micromanagement

Why this matters for operators: Knowledge workers and operators designing AI workflows; shift from prompt engineering to workflow architecture

I cover AI×GTM intelligence like this every Wednesday.

GTM OpsSaaStr — Jason LemkinVictor's pick

SaaS dead, dying or underpriced? Feels like a stock pickers market with attractive opportunities to me

Klaviyo trading at 4-5x revenue despite 32% growth, 110% NRR, and profitability—potentially most mispriced public B2B company or signal of 'New Normal' for SaaS valuations
NRR improved to 110% while scaling to $1.2B ARR by doubling $1M+ ARR customers and growing $50K+ customers 37% YoY—rare upmarket expansion success at scale
International revenue grew 42% YoY and now represents 33%+ of business, breaking 'Shopify add-on' narrative with regional hubs in Dublin and Singapore

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GTM OpsHello Operator

Growth decay is a common pattern affecting successful PLG companies including Ramp, Notion, Airtable, Figma, Miro, and Canva
There are documented examples of companies that successfully reversed growth deceleration
Newsletter promises new data and real-world frameworks for addressing growth plateau

plg-to-salesback-to-basics-gtmrevenue-platform-consolidation

Enterprise AIStratecheryVictor's pick

brilliant read

Reasoning models (o1) fundamentally break Aggregation Theory by reintroducing marginal costs - compute scales with usage, unlike internet-era products
Hyperscalers' business models were built on zero marginal cost assumption; AI inference costs challenge this foundation requiring new economic models
The 2010s internet era may be viewed as anomalous 'naive time' - technology returning to capital-intensive, high-marginal-cost paradigm of pre-internet era

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This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.