Скачать или смотреть Tokens vs Task Blocks

In this deep dive, we break down the core flaw in today's LLMs: token-level generation. Traditional AI agents (built on GPT, Claude, or Gemini) predict text word-by-word, leading to hallucinations, endless retries, and skyrocketing costs, think paying a "token tax" for every micro-decision like "C-L-I-C-K [space] B-U-T-T-O-N." It's like building a skyscraper from microscopic Lego bricks: slow, unstable, and inefficient.
Enter Task Blocks from Senera Core: our deterministic architecture that replaces fragile tokens with reusable, semantic "blocks" of action. One model executes complex workflows (web automation, API calls, multi-step planning) with zero LLM tokens, 100% reliability, and 25%+ speed gains. No more probabilistic guesswork, just precise, composable primitives for true agentic AI.
Key insights:

The Token Tax Exposed: Visualize wasting 1,000+ tokens per simple task vs. our single [CLICK] block (0 tokens, instant execution).
Analogy Breakdown: LLMs are improv jazz (creative but chaotic for critical tasks); Task Blocks are a flight checklist, deterministic and foolproof.
Efficiency Wins: Reduce token usage by 60-98% (inspired by agentic retrieval and context engineering), enabling scalable multi-agent systems without the bloat.
From Hype to Hardware: How Task Blocks bridge software agents to physical AI (robots, drones) – the "prefab construction" for autonomy.

Perfect for AI builders, robotics engineers, and founders tackling agentic workflows. If you're optimizing LLMs for execution (LangChain, AutoGen users), this is your wake-up call.