Before an AI agent publishes to social media, it should prove that the source, account, channel configuration, approval, media, and timing are correct. After submission, it must distinguish an accepted request from a verified live post. An uncertain outcome calls for investigation, not an automatic retry.
This one-page template works for operators using an agent, a web console, or an API; it is not tied to one tool. Groniz Connectors can handle OAuth, per-platform formatting, scheduling, and delivery across 32+ networks, but clients expose different routes and providers have different capabilities. For the lifecycle behind the checklist, see AI agent social media publishing.
Copyable one-page publishing checklist
Paste this block into a runbook, ticket, pull request, or agent instruction. Use a separate copy for each destination. An unchecked item stops the run unless your written policy says otherwise.
## Agent-to-channel publishing run
Run ID:
Operator or agent:
Started at:
Source owner:
Destination:
### 1. Source evidence
- [ ] Record the canonical source URL, file, or version.
- [ ] Record its owner and last-confirmed timestamp.
- [ ] Extract the claims, names, dates, links, and required action that the post must preserve.
- [ ] Confirm the source is current, public or cleared for use, and free of secrets or embargoed details.
### 2. Client and publishing path
- [ ] Name the client or operator surface being used.
- [ ] Select one supported path for that client: Skill, CLI, MCP, Console, or REST API.
- [ ] Confirm authentication works without copying credentials into the draft or log.
- [ ] Record the path chosen; do not assume another client supports the same route.
### 3. Account and integration
- [ ] Discover the available integrations.
- [ ] Resolve the exact network, account, Page, profile, community, or channel.
- [ ] Record the integration reference and a human-readable account label.
- [ ] Confirm the connection is active and belongs to the intended publisher.
### 4. Live integration settings
- [ ] Retrieve or inspect the current settings required by this integration.
- [ ] Identify required fields and supported post, media, and scheduling options.
- [ ] Resolve every required setting before approval and submission.
- [ ] Stop if the live requirements conflict with the intended post.
### 5. Channel format
- [ ] Create a destination-specific draft rather than assuming one payload fits every network.
- [ ] Check the text, links, mentions, structure, and optional fields against the live requirements.
- [ ] Confirm the post suits the selected community and publishing context.
- [ ] Preview the complete destination-specific payload when the route allows it.
### 6. Facts and voice
- [ ] Match every concrete claim, name, date, price, quotation, and link to the source evidence.
- [ ] Remove unsupported implications and mark unresolved facts for a person to decide.
- [ ] Check the draft against the account’s approved voice guidance.
- [ ] Confirm that compression or formatting has not changed the meaning.
### 7. Media
- [ ] Confirm rights, consent, and destination compatibility for every asset.
- [ ] Upload each asset through the supported Groniz media workflow.
- [ ] Store the exact Groniz reference returned by the upload.
- [ ] Attach the returned reference, not a local path or arbitrary external URL.
- [ ] Confirm asset order, captions, and destination-specific media settings.
### 8. Approval
- [ ] Present the final text, links, destination, account, media, mode, and timing together.
- [ ] Record an explicit approve, revise, or reject decision and the reviewer.
- [ ] Bind approval to this exact content version and publishing context.
- [ ] Return for approval if content, destination, account, media, or timing changes.
### 9. Timezone and timestamp
- [ ] Choose publish-now or scheduled delivery.
- [ ] For a schedule, record the intended local time, named timezone, and exact timestamp with offset.
- [ ] Check date boundaries and daylight-saving interpretation where relevant.
- [ ] Confirm the stored schedule matches the approved human-readable time.
### 10. Submission
- [ ] Submit once through the selected path.
- [ ] Record the submission timestamp, response, and returned reference when available.
- [ ] Classify the result as rejected, accepted, scheduled, published, or unknown.
- [ ] Treat acceptance or scheduling as a workflow state, not final publication proof.
### 11. Verification
- [ ] Check the known delivery or scheduled-post state through the supported workflow.
- [ ] Confirm the intended account, content, links, media, and time.
- [ ] Check the public destination when a public result is available.
- [ ] Record the public reference or other evidence and the verification timestamp.
- [ ] Reconcile an unknown outcome before any retry.
### 12. Failure log
- [ ] Record the failed or uncertain stage, destination, timestamps, response, and evidence.
- [ ] Record whether non-publication is confirmed or the outcome remains ambiguous.
- [ ] Redact API keys, tokens, and unnecessary private source data.
- [ ] Record the decision: correct, re-approve, retry once, hold, escalate, or close.
- [ ] Retry only after the cause is addressed and duplicate publication has been ruled out.
### 13. Measurement note
- [ ] Record the post’s objective, measurement source, observation window, and owner.
- [ ] Note which delivery or engagement signals are actually available for this destination.
- [ ] After the window, add the observed result without inventing missing analytics.
- [ ] Add one operational lesson for the next run.
Final state:
Completed at:
Evidence or incident link:
Notes:
Use one checklist per destination
A multi-channel campaign may share one factual core, but the checks must split by destination. Each copy needs its own integration, payload, settings, media treatment, approval context, timestamp, and verification result.
That prevents a partial success from being recorded as a universal one. A media combination accepted by one provider may fail at another, and scheduled-post evidence may differ by destination. Groniz provides a common publishing layer; it does not make provider capabilities identical. The multi-platform media upload guide explains the upload-reference boundary in more detail.
Make approval describe the actual send
Approval should answer a concrete question: may this exact content, with these assets, go to this account at this time? If the reviewer sees only the text, they cannot catch the wrong company Page, an outdated image, or a timestamp interpreted in the wrong timezone.
Keep the approval record in the operator’s own workflow and bind it to a stable draft version or content reference. Do not present Groniz as supplying a team approval queue or audit log; the operator defines those controls. Use the human approval policy template when different risk levels need different reviewers or expiry rules.
Keep acceptance, publication, and verification separate
Submission tells you whether a request was accepted or rejected. It does not necessarily tell you whether the provider made the expected post public. A schedule record is evidence of queued work, not proof of a verified live result.
If a request times out or the caller loses its connection, the outcome is unknown rather than automatically failed. Check the available state and inspect the intended destination before trying again. If the evidence remains ambiguous, hold the run for an operator instead of risking a duplicate. The failed-post recovery workflow provides a decision tree and a larger incident log for this case.
Put the checklist inside the pipeline
The checklist is one part of the publishing system. Feed it from a traceable source packet, store its evidence with the run, and use each result to choose the next state. Send a validation rejection back to preparation and a material edit back to approval. An accepted request proceeds to verification; an ambiguous result goes to reconciliation.
A person can complete every step, or an AI agent can handle routine checks and escalate exceptions. In an AI content distribution pipeline, the pipeline moves the work while the checklist defines what must be true at the agent-to-channel boundary.
To connect your AI agent through a route supported by its client, choose your Groniz agent setup.
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