How the stack works
Verified by construction.
A look under the hood: how your raw ad data becomes a grounded daily brief that structurally can't make numbers up — and stands behind its own track record.
01 · The verifier spine
Compute first. Narrate second. Verify last.
Most tools bolt an LLM onto a dashboard and let it generate prose — so it invents numbers. We reversed the order of operations.
Trends, anomalies, pacing, baselines, peers, targets — every fact and dollar is computed directly from your synced data. No model is involved at this stage.
A low-temperature model writes the brief using only the already-verified facts. It explains the why and the mechanism — it never sources the numbers.
Every claim is checked against a computed fact. Anything unprovable is rejected and the brief falls back to the deterministic story. A hallucination cannot ship.
02 · Data to recommendation
How your data becomes a recommendation
Every insight in your daily report is built from your own history, then cross-referenced against your vertical.
Ad platforms, analytics, commerce & warehouses sync in — read-only.
Unified and modeled into one schema for the campaign reporting.
Detectors surface fatigue, pacing drift, saturation and more.
Context from anonymized peers in your industry (with n= and as-of date).
The verified brief: the move that matters, with dollars and provenance.
Read-only OAuth, one connection per platform. Google, Meta, TikTok, LinkedIn, Amazon Ads, GA4, Shopify and Snowflake flow into your own per-brand warehouse — and you can drop in historical CSV / Excel exports too. Nothing is ever shared across tenants.
Each platform's quirks — naming, currencies, time zones, differing metric definitions — are mapped to one consistent schema. So “spend,” “conversion” and “CPA” mean exactly the same thing everywhere before a single number is analyzed.
Deterministic detectors compute trends, anomalies, pacing, baselines, creative fatigue, dayparting concentration and audience saturation straight from your data. No model is involved here — the facts exist before any sentence is written.
Your numbers are placed against anonymized peers in your category, always carrying a sample size (n=) and an as-of date. That turns a raw CPA into “top-quartile for your vertical” — context, not an absolute.
The verifier-gated brief turns those facts into the one move that matters, with dollars attached and a provenance footer. Any clause that doesn't match a computed fact is rejected and replaced by the deterministic story — so nothing unprovable ships.
Every recommendation traces back to these patterns in your data — drawn from your live sources and uploaded historicals.
03 · The data layer
Your own warehouse, siloed and modeled
Connect your ad accounts and analytics, or upload historical exports. Everything is unified, per-brand, and modeled for the reporting above.
Upload a historical export and it's matched to the right campaign deterministically — date-overlap, daily-pattern correlation, and name-token similarity — with the “why” shown and a confidence bar. Below threshold, it's flagged “needs review,” never a guessed link.
04 · Delivery
One source of truth
The canonical report renders identically everywhere — so the number you see is always the same verified number.
- The dashboard at app.adres.ai/insights
- The daily email — with the data attached as CSV
- The read-only connector, inside your own AI
05 · The connector
Bring your own AI
A remote MCP server. Add AdRes in Claude, sign in with per-user OAuth, and your AI gets grounded, read-only tools — every payload carrying verified provenance.
What's shipped — and what's next
We'd rather under-promise. Here's the honest split.
- The grounded daily brief — campaign & portfolio levels
- Verifier-gated narration with deterministic fallback
- Self-grading track record & forecast calibration
- Marginal-dollar reallocation & learnings ledger (v1)
- The 3D warehouse graph + CSV auto-match
- Read-only MCP connector, working end-to-end
- Live-spend pilots on real daily budgets
- Creative- & audience-level plays wired to live data
- Verifier-gated, human-approved MCP write-back
- Learnings ledger v2 — persisted cross-campaign
- Auto daily-email schedule (today it's manual/gated)
Deliberately not building: a proprietary chatbot, attribution/MMM, or automated write-access to ad platforms. Read-only is the trust position.
Run it on your own data.
Connect one account, read-only, and watch the verified daily brief — and its track record — build on your spend.