Triangulate Sources With Perplexity

Perplexity is strongest when you ask it to compare sources, not when you accept the first synthesized answer.

1. 1Name the job before naming the tool.
2. 2Write the smallest useful scope the agent can finish.
3. 3Run the result as a user, not as a fan of the tool.
4. 4Inspect the diff, data access, and failure path before sharing.

Research: best local coding models for Ollama in 2026. Return three sources, where they agree, where they conflict, and what remains uncertain.

• What should the user be able to do when this is finished?
• What data should the app or agent never expose?
• What test proves the change works?
• What rollback path exists if the output is wrong?

A Space turns one-off searches into a reusable project library with sources, notes, and follow-up questions.

1. 1Name the job before naming the tool.
2. 2Write the smallest useful scope the agent can finish.
3. 3Run the result as a user, not as a fan of the tool.
4. 4Inspect the diff, data access, and failure path before sharing.

Create a Space for 'AI coding tools 2026'. Add source buckets: official docs, Reddit field reports, X launch reactions, security warnings, and open questions.

• What should the user be able to do when this is finished?
• What data should the app or agent never expose?
• What test proves the change works?
• What rollback path exists if the output is wrong?

A citation should support the exact sentence it is attached to. If it only vaguely relates, treat the claim as unverified.

1. 1Name the job before naming the tool.
2. 2Write the smallest useful scope the agent can finish.
3. 3Run the result as a user, not as a fan of the tool.
4. 4Inspect the diff, data access, and failure path before sharing.

Take one Perplexity answer. For each claim, open the cited source and mark it supported, contradicted, stale, or not actually in the source.

• What should the user be able to do when this is finished?
• What data should the app or agent never expose?
• What test proves the change works?
• What rollback path exists if the output is wrong?

Perplexity can collect sources; Tendril lessons need judgment. Convert research into audience, skill, misconception, exercise, and warning.

1. 1Name the job before naming the tool.
2. 2Write the smallest useful scope the agent can finish.
3. 3Run the result as a user, not as a fan of the tool.
4. 4Inspect the diff, data access, and failure path before sharing.

Create a lesson brief from five sources: learner, why it matters, three ideas, one misconception, one exercise, and one safety warning.

• What should the user be able to do when this is finished?
• What data should the app or agent never expose?
• What test proves the change works?
• What rollback path exists if the output is wrong?