PostSlick

AI Growth Agent

Recommendations you approve, never actions taken behind your back

The Growth Agent reviews your connected accounts, performance and conversations, then proposes next steps as suggestions. Nothing consequential happens until a person approves it.

AI Growth Agent — connected nodes
PostSlick · AI Growth Agent — recommendations
1Audit

Reviews connected accounts, cadence gaps and unfinished drafts.

2Audience

Groups the profiles and conversations your workspace already holds.

3Strategy

Proposes a publishing rhythm per network from your own history.

4Content

Suggests post ideas and captions you can edit before scheduling.

5Scheduling

Recommends send times drawn from your best-time-to-post data.

6Review

Reports what moved and what to adjust in the next cycle.

Every recommendation is a suggestion you approve — nothing publishes without your review.

Review required

Why it matters

What this gives you

  • Connected nodes that review, plan and recommend
  • Suggestions grounded in your own workspace data
  • Human approval before anything publishes or changes
  • Every recommendation is dismissible and auditable

Capabilities

What is included

Each capability is part of the PostSlick product, within the limits each network's API allows.

  • Account review

    Checks connection health, cadence and coverage across networks.

  • Performance reading

    Summarises what moved and what stalled in your own metrics.

  • Plan suggestions

    Proposes cadence and content-mix adjustments for the period ahead.

  • Assisted drafting

    Offers caption starting points that you edit before scheduling.

  • Recommended next steps

    A short, ranked list rather than an unexplained score.

  • Approval gate

    Consequential actions require explicit human approval.

Outcomes

What changes in practice

  • A starting point, fast

    Planning begins from a reading of your data instead of a blank page.

  • Control kept

    Approval-gated by design, so AI never publishes unattended.

  • Explainable suggestions

    Each recommendation points at the data behind it.

How it works

The workflow, end to end

  1. 1

    Review

    The agent reads connected accounts, recent performance and conversations.

  2. 2

    Propose

    It produces ranked recommendations with the reasoning shown.

  3. 3

    You decide

    Approve, edit or dismiss each recommendation.

  4. 4

    Apply

    Approved items become drafts or queued posts in the normal publishing flow.

FAQ

Questions, answered

Put ai growth agent to work

Start free, connect your accounts, and upgrade when your team and account count grow.