Tag

#ai-engineering

Posts tagged with ai-engineering

6 posts

Harness distillation moves agent scaffolding behaviors such as routing and tool-call handling into neural network model weights.

Engineering • Oct 27, 2026 •12 min read

What Harness Distillation Moves Into Model Weights

Harness distillation can move routing, formatting, and retry policy into weights; permissions, state, verification, and audit trails belong in code.

#harness-distillation #agent-scaffolding +3

MCP agent verification workflow that checks each answer against the tool call that produced it, not just whether the fact is correct.

Engineering • Sep 29, 2026 •11 min read

MCP Agent Verification That Proves Every Claim's Source

MCP agent verification grades each claim's source, not just truth. The decision grid, provenance binding, and eval additions catch wrong-source answers.

#mcp #agent-evaluation +4

A teardown of Stampli's AI-assisted product launch claim, examining what the 68% launch-hour reduction measures and the conditions that made it possible.

Use Cases • Aug 21, 2026 •10 min read

AI-Assisted Product Launch Teardown of Stampli's 68% Claim

A builder's teardown of Stampli's 68% launch hour cut with Codex and ChatGPT, and the AI-assisted product launch workflow your team can copy.

#codex #chatgpt +4

LLM context window management keeps a growing agent conversation within the limited space a model can actually read and reason over.

Guides • Aug 18, 2026 •11 min read

LLM Context Window Management With a Token Budget

Learn LLM context window management with a token budget ledger, a stepwise compression ladder, and the prompt cache trap that punishes trimming.

#context-windows #token-budget +4

LLM-native recommendation architecture using generative language models to replace hand-crafted feature pipelines in production recommendation systems.

Use Cases • Jul 31, 2026 •13 min read

LLM-Native Recommendation Architecture After Netflix GenRec

Netflix's GenRec replaces thousands of hand-crafted ML features with an LLM-native recommendation architecture. Explore the engineering trade-offs for builders.

#llm-architecture #recommendation-systems +4

Illustration of a server network designed to orchestrate open source LLMs efficiently.

Engineering • Jul 16, 2026 •12 min read

Orchestrate Open Source LLMs vs Frontier Models

Should you orchestrate open source LLMs or call a single frontier model? We break down Sakana Fugu's claims and the real cost and latency tradeoffs.

#ai-engineering #llm-orchestration +3