Integrated AI Solutions

Slack History → Living Status Docs

Move the channel's knowledge out of chat scrollback into one living status document per project, enforced by rules the agent follows and a scheduled watchdog that costs nothing to run.

Continuous, with scheduled checks

What was getting in the way.

An AI agent in a busy Slack channel re-reads an ever-growing conversation on every reply. The scrollback silently balloons until each answer costs dollars instead of cents, and nobody notices until the bill.

Context

Run across every project channel of an AI agent deployment at a marketing-services company.

How the work runs.

  1. 01

    One status doc per project channel

    Decisions, current state, next actions, maintained as plain text the agent owns.

  2. 02

    Read-first rule

    At every task start the agent reads the doc, not the chat history. The doc is the memory; scrollback is disposable.

  3. 03

    Write-back-before-reply rule

    Results and decisions land in the doc before the agent answers in channel, so the conversation can be reset at any moment with zero loss.

  4. 04

    Zero-cost watchdog

    A scheduled job measures actual cost per reply from usage logs (no AI involved) and posts an alert in the channel when a conversation crosses the spend threshold, prompting a write-back and a fresh start.

Evidence from the workflow.

Header of a live channel STATE doc declaring it the single source of truth: read at task start, write back at task end, never rely on chat scrollback
Fig 1: The STATE doc's standing contract: read it at task start, write results back at task end, never rely on chat scrollback.
Cost watchdog dry-run output: per-channel average spend per turn, 24-hour totals, context size, and healthy or BREACH verdicts, with channel IDs blurred
Fig 2: The watchdog's dry-run sweep: per-channel $-per-turn vs the $1.50 threshold, 24-hour spend, and context size; one BREACH flagged. Channel IDs blurred.

Each system has a role.

  • Signal (channel conversations + alerts)

    Slack

  • Record of truth

    Plain-text status documents

  • Action (scheduled watchdog)

    Cron scheduler

  • Signal (cost per reply)

    Usage-log cost measurement

Why this is Operator.

Owns a workflow end to end, running the process inside the authority you set.

  1. 01

    The watchdog is read-only and alerts humans rather than acting; thresholds are set by the team; the status docs are human-readable and auditable at any time.

Impact / Outcomes

Replies that had crept past $1.50 each returned to cents after a reset.

Resetting the conversation became free and routine because nothing important lives in scrollback.

Context now survives restarts, new sessions, even agent upgrades.

← All use cases

Find where a workflow like this fits.

Start with the systems, work, constraints, and authority already present in your operation.

Book a DemoExplore Use Cases