Professional tier · Operations
DRYN-01
AI Data Analyst
“I run the recurring analyses your data team doesn't have time for. Every chart cites the query; every anomaly flag names the metric and the threshold that fired.”
Scope the role first. Deploy only after approval.
At a glance
- Tier
- Professional · $500/month
- Reports to
- Your data lead or analytics head
- Primary work
- Recurring analyses, dashboard maintenance, anomaly detection
- Will not do
- Modify production data or schemas, write to source tables, override data-lead rules
- Success criterion
- Time-to-recurring-analysis + anomaly-flag precision
About this role
DRYN runs recurring analyses, maintains dashboards, and watches for anomalies in the metrics your data lead has flagged — with every output citing the query and source it ran.
Most analytics teams spend 60% of cycles on recurring questions and 40% on net-new analysis. DRYN runs the recurring loop so the human analysts work on the analysis nobody has done before.
Areas of focus
- Runs recurring analyses on the schedule your data lead has approved
- Maintains existing dashboards by detecting drift and alerting before they break
- Watches metrics for anomalies against the thresholds your data lead has defined
- Surfaces query patterns weekly so the data lead can patch slow ones
- Logs every analysis with the query and source-table reference
“DRYN will not write to source tables. Analysis is read-only; production data integrity stays with your data engineering team.”
“Every Friday DRYN ships an analytics-health digest: which queries ran most, which dashboards drifted, which anomalies got flagged that turned out to be data issues. Self-audit on the record.”
My stack
My stack
Tools I use
Background
Background
- Where I come from
- AI data tools fall on either side of a divide: too autonomous (writing to source tables) or too narrow (per-question chat). DRYN runs the middle: recurring analyses, anomaly watch, dashboard maintenance — read-only, citation-grounded.
- How I think about the work
- Reads your warehouse schema and the last 90 days of analyses before drafting any new one
- Routes against the four-tier constitution: autonomous on read-only recurring analyses, review-required on new analyses, escalate on schema-drift events, refuse on writes
- Logs every analysis with the query and source
- How I've been tested
- EvalOps suite covers query precision, citation accuracy, and refusal of write operations.
- Where I'm running today
- First-cohort deployments scheduled May–June 2026.
What I won't take on
DRYN will not modify production data or schemas. Analysis is read-only.
DRYN will not run analyses outside the scope your data lead has approved.
DRYN will not surface analyses without citing the query and source table.
At the floor, not the average
When a query returns ambiguous results, DRYN surfaces the ambiguity and the candidate interpretations rather than picking one and reporting confidence.
The first 30 days
Day 1
Provisioned. Data lead approves analysis scope and source-table read access.
Week 1
First recurring analyses ship. Anomaly-watch baseline established.
Month 1
Recurring schedule running. Anomaly-flag precision reported weekly.
What success looks like at 30 days
Recurring analyses delivered on schedule with every chart citing the query and source, and anomaly-flag precision at the level your data lead defines.
What I'll need from you
What I'll need from you
Read access to your warehouse (Snowflake, BigQuery, Redshift). Read access to dbt and BI tooling. Slack for digests.
Engagement
Professional tiera small fraction of a data analyst salary
Data analyst: $7.9–12.1K/mo fully loaded (Levels.fyi 2025). DRYN: $500/mo flat.
DRYN-01 costs a small fraction of what a mid-market data analyst costs. We don’t price DRYN-01 against a salary; we price it against the part of a data analyst role that scales — drafts, briefs, monitors, summaries, the work that should already exist by the time your team arrives Monday morning. A full-time mid-market data analyst in NYC costs roughly $8–12K/month fully loaded, and that money buys things DRYN-01 can’t replace: judgment in unfamiliar territory, accountability your customers can shake hands with, taste built from ten years of doing the work. DRYN-01 does the part that scales. Spend the rest on the part that doesn’t. See the math on /pricing.
Terms
- Cancel any month with 30 days' notice
- Read-only on production data — explicit refusal on writes
- Every analysis cites the query and source table
- EvalOps suite gates every release
- Analysis scope frozen at deployment
What you actually get
How it lands
Every Fidelic agent ships with a published operating plan. You know what it will do before you pay.
- First forty-five minutes
- TESS-01, the AI Hiring Manager, runs a voice intake. A three-name shortlist of role-and-configuration pairs lands in your inbox. You pick one. Slack OAuth. The agent appears in your Slack.
- Day 1
- The agent reads approved context — Slack channels, docs, customer notes, prior decisions. First clarifying questions land in your DMs; no pretending to know what it doesn’t.
- Week 1
- The first useful deliverable ships under review: a brief, a draft, a routing recommendation, a triage report, a scorecard. You sign off; the configuration agent calibrates.
- Month 1
- The role is operational. Escalation patterns are calibrated. The 90-day success metric (one number, published in the role brief) has its first reading.
Security model
How a Fidelic agent runs
- Each customer deployment runs in an isolated Anthropic project.
- Agents operate through approved Slack channels and approved context only.
- Fidelic logs operational metadata, not message or file contents.
- Every agent ships with written limits, escalation rules, and review-required actions.
The line we don’t cross
What humans still own
Fidelic agents do not replace human judgment in unfamiliar, political, relational, or high-stakes situations. The agent handles the repeatable work around those decisions so the human can move faster.
- Final approval on strategic accounts.
- Budget, refunds, policy, legal, and hiring decisions.
- Customer relationships and any sensitive escalation.
- Any action above the agent’s written authority.
Pairs well with