Getting the best outcomes

Ragnarock is only as good as the context and direction you give it. These habits consistently produce sharper answers and higher-quality generated documents, plans, and tests.

Set the right persona

Your persona is the single biggest lever on AI tone and depth. A Business owner persona gets outcome-focused, plain-language answers; a Developer persona gets implementation detail and unlocks the Developer Advisor. If answers feel off, fix your persona before rewording your prompt.

Build a complete SRS first

Almost everything downstream — task plans, architecture documents, test cases, and the AI's own answers — is grounded in your Software Requirements Specification (SRS). The more complete and accurate your SRS, the better every generated artifact. Finish the SRS early and keep it current. See Building your SRS.

Ask specific questions

Vague prompts get vague answers. Compare:

• ❌ "Tell me about the project."
• ✅ "Which high-priority tasks are still in the backlog, and who could pick them up?"

Name the feature, requirement, task, or document you care about. Ragnarock can quote specifics back to you when you point it at them.

Give it more to work with

The AI reasons over the context attached to your project. You can strengthen that context directly:

• Link repositories so implementation questions are grounded in real code.
• Write skills to encode your team's standards, glossary, and conventions.
• Keep documents current so summaries and answers reflect reality.

See Giving the AI context for how each of these works.

Iterate in a conversation

Ragnarock remembers the current conversation. Instead of restarting, refine: "Make that answer more concise", "Now focus only on the authentication feature", or "List the edge cases you didn't mention". Start a new chat when you switch to an unrelated topic so the context stays clean.

Always review generated output

Generated SRSs, plans, documents, and test cases are drafts produced from your inputs. Review them before treating them as final — confirm that requirements are correct, tasks are complete, and tests cover what matters. The AI accelerates the work; you own the result.