AI Resilience

Deploy AI agents on your Airtable. Undo anything they break.

AlreadyBack is the recovery layer for the new failure mode where a single AI agent rewrites thousands of records in seconds. Daily snapshots, point-in-time restore, and a Panic Button for the moment something goes wrong.

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The new failure mode

AI agents make irreversible changes at machine speed.

In 2025 the question was whether to let AI write to your data. In 2026 it's already writing — Airtable AI Credits, no-code automation platforms, and homegrown LLM agents. One misconfigured prompt or a model regression can rewrite thousands of records in the time it takes to read this sentence.

Airtable's built-in trash captures deletions. It does not capture the prior values of fields that were overwritten. Without a recovery layer, you're choosing between AI capability and data integrity. AlreadyBack is what removes that choice.

Use cases

Four scenarios — and what recovery looks like.

Airtable AI Credits go wide

What happens

A user prompts the built-in Airtable AI to clean and normalize a column. It misinterprets the schema and rewrites 4,300 fields across two tables in 12 seconds.

How AlreadyBack helps

Panic Button → restore the affected tables to the snapshot taken before the prompt ran. Airtable trash never saw the prior values; ours did.

An AI automation step misfires

What happens

An AI automation step classifies leads, but a prompt regression flips the polarity of the output. Hundreds of records get tagged with the wrong status.

How AlreadyBack helps

Filter snapshots from before the deploy, restore the affected records. Linked records and lookups stay consistent.

Custom AI agent regression

What happens

A homegrown agent with a Personal Access Token runs nightly on three bases. After a model upgrade it starts overwriting computed-field overrides instead of source values.

How AlreadyBack helps

Roll back the affected base entirely, or restore just the overwritten records from a pre-upgrade snapshot.

Airtable scripting block bug

What happens

A scripting block triggered by a button overwrites the wrong field group because of an off-by-one in the column array. The button runs 30 times before someone notices.

How AlreadyBack helps

Snapshot history is per-base and per-day. Pull the right one, restore. The pre-change snapshot stays on retention until the audit closes.

What we ship

Live today. Honest about what's coming.

We ship the recovery primitives now. The AI-attribution layer lands with our backend rollout — we mark it as roadmap rather than vapor.

Live

Daily point-in-time snapshots

Every base, every day, with five years of history on Resilience. Restore to any day, any base, any time.

Live

Panic Button — guarded full restore

When the agent misbehaved, you do not want to navigate menus. The Panic Button is reachable from anywhere in the dashboard. Confirm the snapshot, confirm the target, done.

Roadmap

Vault — WORM-lock a snapshot

Mark the snapshot taken before the AI agent ran as immutable at the storage layer, so not even a compromised account can purge its own backups.

Live

Integrity-verified restore

When the agent rewrote linked records, a naive restore breaks relationships. Every AlreadyBack restore is verified for referential integrity — links and computed views land intact, and you get the report.

Roadmap

AI-aware audit log

Every change tagged with actor type — human, AI agent, API token, or system — with the prompt context preserved. Filter the log to AI changes only.

Roadmap

One-click rollback of AI changes since [date]

Pick a timestamp; we revert every AI-attributed change after it, leaving human edits intact. Surgical recovery for the agent era.

Get started

Deploy AI confidently. Recover when needed.

14-day free trial (card required), 30-day money-back on your first purchase. Daily snapshots on every plan, including the entry tier.

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