general family · filed under inference & serving
Task-specification prompting
The prompt states a clear desired outcome, relevant context, and important constraints.
- source
- 1
- model
- 1
- labs adopt it
- 0
- strongest
- mentioned
How sources treat it
One count per evidence span, weakest treatment to strongest.
mentioned 1
Documented in
Evidence
1 span quoted from the sources, strongest treatment first.
Give Laguna M.1 a clear task with the specific outcome you want. Include relevant context such as file paths, error messages, failing tests, or reference material. State any important constraints up front
mentionedotherin Laguna M.1Poolside
Filed alongside
Other methods under inference & serving :: agentic scaffolding.
Advisor strategyAutomatic tool choicePython toolFunction callingHarmony formatBrowser toolGeneric tool-call parserMCP tool configurationMulti-agent collaborationRole-based instruction hierarchyThinking with toolsVisual Search ToolXML-based tool-call schema with DSML tokenAgent Team modeAgentENVAgentic searchAgentic tool callingApp-server mode with adapted tool schemasAppArmor and eBPF sandbox policiesAssistant output channelsAsynchronous teammate spawningBash commands for context retrievalBash computer-use agentBrowsing tool with domain filtering