agent tools and workflowsYou Cannot Instruct Your Way Out Of Prompt Injection
Prompt injection is not a wording problem. Why instruction-based defences fail, and the architectural containment that actually limits the damage.
Read the guideIndependent AI tool intelligence
Practical AI Radar
Source-checked guides for builders comparing AI tools, fast-moving GitHub projects, model updates, agent workflows, and product announcements without chasing hype.
6 guides5 topics18 cited sources
Signal before hypeRepository momentum, release notes, pricing changes, and adoption claims stay separated from opinion.
Workflow fitEach guide asks what changes in a real builder workflow before recommending a tool or update.
Method over verdictMost of these are procedures you can rerun — a health check, an eval set, a log schema — rather than a ranking that expires next quarter.
6 papers
Latest AI decision guides
agent tools and workflows
model release analysisBuild The Eval First. Then Argue About Models
Public benchmarks measure a different task than yours. How to build a small evaluation set that makes model choice, prompt changes and upgrades decidable.
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ai ops and monitoringIf You Cannot Reproduce Yesterday's Answer, You Do Not Have A Product
What to record around every model call so failures are debuggable: inputs, retrieved context, tool calls, the model version string, cost and latency.
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model release analysisFine-Tuning Does Not Teach Facts, And That Changes The Decision
RAG and fine-tuning solve different problems: knowledge versus behaviour. Why fine-tuning on facts often makes hallucination worse, and how to decide.
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developer workflowsHow to Read a GitHub Project's Health in 10 Minutes Before You Depend On It
A 10-minute method to judge whether an open-source project is safe to depend on: release cadence, issue triage, maintainer count, security policy, and license.
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local models and llm infrastructureSelf-Host an Open Model or Call an API? A Cost-and-Risk Decision Tree
A practical decision tree for small teams choosing between self-hosting an open model and calling a hosted API: privacy, cost curve, latency, and ops burden.
Read the guideCoverage areas
5 clusters1 papers
developer workflows
Ways to judge a dependency before you adopt it: release cadence, issue triage, maintainer count, security policy, and licence.
1 paperslocal models and llm infrastructure
Local model and infrastructure coverage focused on hardware assumptions, model support, and maintenance signals.
1 papersagent tools and workflows
Agent frameworks and workflow tools reviewed for permissions, setup cost, maintenance, and practical fit.
2 papersmodel release analysis
Choosing and changing models without trusting a leaderboard — building your own eval set, and what fine-tuning cannot fix.
1 papersai ops and monitoring
What to record around a model call so a bad answer is reproducible: inputs, retrieved context, tool calls, version strings, cost, latency.