Claude & GPT Workflows
Controlled comparisons of model workflows, prompts, context and tool use.
Research-design drafts identify proposed methods and limitations. They do not claim completed experiments.
Claude Versus GPT for Ambiguous Requirements
A useful requirements assistant should expose assumptions rather than silently resolving every ambiguity. Compare models on what they clarify, omit and invent, not on polished formatting.
Claude Versus GPT for Linux Troubleshooting
A plausible troubleshooting command is not a verified diagnosis. Separate evidence gathering, causal explanation and proposed remediation in the evaluation.
Context Engineering Versus Prompt Rewriting
An improved prompt cannot supply evidence that the system never receives. Compare changes to instruction wording with changes to document selection and tool context.
Can Claude and GPT Detect Unsafe Deployment Plans?
Deployment review requires noticing specific assumptions about data, permissions and recovery. A generic warning list is less useful than identifying the exact unsafe step.
When Coding Agents Pass Tests but Miss Requirements
Tests can encode the wrong acceptance target or omit important behaviour. Evaluate agent-written code against independently defined requirements rather than its own test suite alone.
Claude Versus GPT for Research Source Fidelity
A research answer must preserve what a source actually establishes. Compare evidence fidelity separately from breadth, fluency and apparent confidence.
Reasoning Budget and Cost-Adjusted Task Success
Additional reasoning effort may help some tasks and add cost without benefit on others. The result should be evaluated per task class, not as a universal setting.
Prompt Caching Under Changing Context
Caching benefits depend on repeated eligible input, not simply on repeating a user's question. Measure workload patterns and cache behaviour rather than assuming the advertised mechanism matches every workflow.
Single-Agent Versus Multi-Agent Workflows
Additional agents create coordination work as well as parallel capacity. Compare final evidence quality and failure recovery alongside completion speed.
Tool Descriptions and Agent Failure Rates
Tool descriptions influence which operation an agent selects and what parameters it supplies. Descriptions should explain preconditions and consequences, not just the operation name.