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Beyond the Prompt: Steering LLMs with Latent Control and Mechanistic Interpretability

The evolution of AI interaction is accelerating, moving from surface-level prompt engineering to direct, deep control over neural networks, unlocking a new era of intelligent agents.

Célio Vieira••1 min read
Originally published on Substack Publication
Read on Substack
**Originally published on Substack.** [Read this full technical dispatch on Substack ↗](https://celio1878.substack.com/p/beyond-the-prompt-steering-llms-with)

Dispatch Brief #

The evolution of AI interaction is accelerating, moving from surface-level prompt engineering to direct, deep control over neural networks, unlocking a new era of intelligent agents.

Architectural Context & Focus #

In this publication dispatch, Célio explores technical frontiers, system engineering trade-offs, and practical lessons:

  • Deep dive into architectural trade-offs, resilience patterns, and scalability bottlenecks.
  • Applying first-principles engineering to eliminate complexity and optimize real-world throughput.
  • Exploring state-of-the-art developments across AI, data platforms, and distributed systems.

Continue Reading on Substack #

The full dispatch, code references, and ongoing engineering conversation are hosted on Substack:

👉 Read Full Article on Substack

Célio Vieira

Célio Vieira

Founder, AI & Data Engineer

Architecting intelligent AI systems, lakehouses, and commercial products under the Aldeon ecosystem.

Discoveries & Knowledge