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Start AI Tools with Intent Solutions
Daily work journal below. Real case studies, deep-dives, and operator-grade write-ups on AI engineering, DevOps, and the messy reality of shipping software that touches LLMs, by Jeremy Longshore at Intent Solutions.
Curated long reads
Let the Model Judge. Make the Code Decide.
The model owns judgment. Deterministic code owns the gates, the commit, and the audit trail. How I rebuilt a daily writing pipeline so a hung session can no longer brick tomorrow.
Adversarial Review: The Six Lenses That Halted a Rollout
Six lenses, live state, eighteen risks. I thought the safety work was shipped. The review proved three assumptions were theater. The durable rule: the model proposes; the system owns identity, trust, and state.
The Moat Is the Trust Layer
A local-RAG demo became Intent NEXUS. The moat is not the chatbot. It is egress control, code-enforced citations, a ledger you can check, injection defense, and evals that cannot lie quietly to you.
Recent posts
Every Fix Failed in the Shape of the Bug It Fixed
An invariant guarded by adjacent checks is only as honest as the checks. Seven commits of corrections, then it moved into a schema that refuses the claim.
ReadA Dead Socket Is Not a Dead Host
When two facts share one value, the signal cannot tell them apart. A socket race is not a host failure.
ReadThe Agent's Mistakes Were the Fast Ones
Six agent failures on a self-hosted team relay. Five traced back to a rule I wrote down and never made anything actually enforce.
ReadThree Copies of the Key, None of the Passphrase
Borg backup encrypted across three hosts: each copy holds the repokey, none holds the passphrase. Why redundancy hid a single point of failure.
ReadOnboarding One Person Audited the Whole Estate
Write down every grant for a new hire and the estate answers: grants that were not access, accounts we could not revoke, a fix that nearly broke a backup.
ReadThree Commits Between the Rule and the Violation
A changelog gate shipped inert: at fetch-depth 2, git tag --list is empty in CI, so the check exited 0. An AI reviewer caught what the author could not.
ReadNothing Read It, So Nothing Failed
Five defects in one day across five substrates, all the same shape: an artifact with a producer and no consumer. That is why none of them ever failed.
ReadSeries & curriculum
MCP for Beginners
End-to-end Model Context Protocol curriculum — solutions in Python, TypeScript, Java, Rust, C#, .NET — translated across six languages.
Agentic Design Patterns
Patterns and anti-patterns for production agent systems. Decision frameworks, prompt scaffolds, evaluation harnesses.
Tiny Recursive Models
Building small recursive systems where simple loops compose into emergent behavior. Series in progress.
Research & Curriculum
Long-form research articles, learning paths, and reading lists for the AI builder community.
Retrospectives
July 2026: Every Instrument Reported Success, and One of the Published Posts Was a 404
July 2026 retrospective: Tier 1 collapsed from 46% to 17%, the anti-inflation rule adopted July 3 fired zero times all month, the grader demoted half the catalog on a title keyword list, and a post with a full green audit trail was never published at all.
June 2026June 2026: The First Full Month Under the Repaired Rubric — Tier 1 Went From 5% to 50%, and the Last Mile Got Louder
June 2026 retrospective: the first full month running under May's repaired tier rubric. The distribution corrected from 5% to 50% Tier 1, exactly as predicted — but the structural sweep still flags every disagreement as inflation, and no human has adjudicated one. 27 posts, 1,166 commits.
Let's build something that ships to production
Intent Solutions designs, builds, and ships production AI systems: Claude, MCP, RAG, agents, and the boring infrastructure that makes them trustworthy. Tired of AI demos that never make it past the POC?
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