Tutorials Prompt Engineering Tutorial
AI Analytics Automation — Complete Guide
AI Analytics Automation — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.
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Prompt Engineering Tutorial · Lesson 68 of 100
AI Analytics Automation
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 7: AI Automation
What is this?
Analytics automation turns natural language questions into SQL or metric definitions, runs guarded queries, and narrates results.
Why should you care?
PromptVerse Analytics Bot maps "churn by plan last quarter" to approved metric SQL template + narrative.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
USER: Why did churn spike in March?
AGENT:
1 map to metric churn_rate_by_plan
2 run_sql_readonly(template, params={month:"2026-03"})
3 llm_narrate(table, instruction="no causal claims without data")What happened?
- Approved templates prevent arbitrary SQL.
- Narrate step forbids causal claims beyond returned table.
Practice next
- Define 5 approved metrics as templates.
- Ask NL question matching one.
- Run read-only.
- Add chart spec JSON output.
- Cache identical metric queries 15min.
Remember
Template SQL not freeform. Read-only connection. Narration bounded by data.
Board prep
PM asks churn question in Slack.
Outcome: Bot returns table + 3-bullet narrative in 20s.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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