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Assistants & use cases

ChatGPT projectChoose your toolsInstructionsContext and memory

Development tools

Harness, tools and MCPSkills and workflows

Verification

Verify and develop

Explore each space independently. More detail is always within reach.

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Choose your tools

Choose for your task

Start with your needs. Compare access and outcomes without a universal model ranking.

What do you need?

Suggested starting point

ChatGPT, then Claude on the same document

Prepare a project with the reference document. Then compare fidelity to the source and omissions on the same task.

Prepare my instructions

Compare on your task

ApproachSuitable useWhat to check
ChatGPTUnderstand a topic, prepare a project, work with supplied resources.Account features, instruction scope and memory settings.
ClaudeUse the same reading, writing or design task for comparison.Same context and criteria; product resources and limits.
Codex / Claude CodeRead and edit a repository; run commands in a configured environment.Actual access, test environment and change review.
Fully local model and toolsOn-device processing when the model and tools support it.Hardware memory, task quality and absence of remote calls.

Give the selected solutions the same example. Record criteria met, errors, time spent correcting and displayed costs. Success on this example does not establish general superiority.

Official documentation
  • OpenAI · ChatGPT Projects
  • Anthropic · Claude Projects
  • OpenAI · Codex
  • Anthropic · Claude Code
Understand context and memory

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18 results

LearnLearning, then using a modelSeparate learned parameters from information supplied with a request.
LearnFrom context to the next tokenSeparate the model’s probabilities from the rule that selects an output.
LearnFrom text to representationsUnderstand why words become vectors without equating a vector with human meaning.
LearnWhat kind of memory?Separate working context, recurrent state, learned parameters and persistent storage.
LearnTransformers: understanding attentionCompare architectures, training methods and complete systems at the right level.
LearnGenerating by denoisingDistinguish corruption during learning from progressive generation.
LearnFrom a model to a system that actsUnderstand the harness around a model and its tools.
LearnPredicting to choose an actionExplore longer horizons and the risk of inaccurate predictions.
LearnDefinitions, not a single verdictExamine generality, performance and adaptation before applying a label.
LearnWhat can a result establish?Move from a convincing impression to a reproducible comparison.
ConfigurePrepare a ChatGPT projectA clear objective, useful context and instructions you can actually use.
ConfigureChoose for your taskStart with your needs. Compare access and outcomes without a universal model ranking.
ConfigureMake your request verifiableTurn an intention into an objective, context and success criteria.
ConfigurePut the right information in the right placeDistinguish working rules, task resources and memory managed by the product.
ConfigurePrepare a development environmentDefine the model’s role, harness capabilities and the access you actually need.
ConfigureCompose a development workflowOrganise preparation, changes, verification and reporting. Reuse the steps that help.
ConfigurePrepare a mission, then check the resultA reproducible example, a checklist and a record of your observations.
Public programsTentacularPublicly available uses, features and resources.