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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Jolyon Grace

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#small language model Open access Oct 2026

Harness-Driven Progressive Detail: Making Stateless and Small Language Models Do Bounded Agentic Work — An Implementation Report under PSOS and LMCP

Agentic coding and operations work is usually delegated to a model running an open tool loop: the model decides each next step, re-reads its growing transcript every turn, and stops when it believes it has finished. That arrangement is affordable on a provider with prompt caching, where each turn pays only for new toke...

Jolyon Grace · 0 citations
#small language model Open access Oct 2026

Harness-Driven Progressive Detail: Making Stateless and Small Language Models Do Bounded Agentic Work — An Implementation Report under PSOS and LMCP

Agentic coding and operations work is usually delegated to a model running an open tool loop: the model decides each next step, re-reads its growing transcript every turn, and stops when it believes it has finished. That arrangement is affordable on a provider with prompt caching, where each turn pays only for new toke...

Jolyon Grace · 0 citations
#small language model Open access Oct 2026

Harness-Driven Progressive Detail: Making Stateless and Small Language Models Do Bounded Agentic Work — An Implementation Report under PSOS and LMCP

Agentic coding and operations work is usually delegated to a model running an open tool loop: the model decides each next step, re-reads its growing transcript every turn, and stops when it believes it has finished. That arrangement is affordable on a provider with prompt caching, where each turn pays only for new toke...

Jolyon Grace · 0 citations
#small language model Open access Oct 2026

Harness-Driven Progressive Detail: Making Stateless and Small Language Models Do Bounded Agentic Work — An Implementation Report under PSOS and LMCP

Agentic coding and operations work is usually delegated to a model running an open tool loop: the model decides each next step, re-reads its growing transcript every turn, and stops when it believes it has finished. That arrangement is affordable on a provider with prompt caching, where each turn pays only for new toke...

Jolyon Grace · 0 citations

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