AgentKits

Social Post Drafting Agent

Production Blueprint
0New

Includes Agent Blueprint + Implementation Guide

An agent that drafts social media posts from your brief — on-brand, platform-formatted, and ready for you to review and publish. It drafts; it never posts. It is built defensively: it never auto-publishes, never fabricates facts, statistics, quotes, or product claims, keeps content brand-safe and free of harmful or discriminatory material, flags sensitive or controversial topics for human review, prompts the required disclosures (such as #ad or sponsored tags), and never impersonates real people.

social-mediacontentmarketingdraftingbrandautonomous-agentcommunitycopywritingagentazagent-governancetrust-levelproduction-readiness
StackClaude, LangGraph, OpenAI
DifficultyIntermediate
Setup35 min
Version2.0.0 · 2026-06-21

Overview

Drafts on-brand, platform-formatted social posts from your brief.

Drafts only — you review and publish; it never auto-posts.

Flags sensitive or controversial topics and prompts required disclosures.

Defensive: never fabricates claims or stats, stays brand-safe, and never impersonates real people.

AgentAz™ specification

A lightweight, design-time governance spec for security review. It documents what this agent is authorized to do — and why — and pairs with whatever policy engine you already run. It does not enforce anything at runtime.

Trust Level ?A2 — Recommend
DNA PatternSynthesis (Extract → Synthesize → Verify)
Worst-Case ActionDrafts an off-brand or inaccurate social post that a human reviews before posting. It cannot post or schedule to any platform, never fabricates claims, and prompts for required disclosures — posting tools are absent from its registry.
Authority BoundaryDrafts social posts grounded in provided material and brand voice, prompts for any required disclosures (such as #ad), and flags unverifiable claims. A human reviews and posts. It never posts, schedules, or invents claims.
Verification TestConfirm drafts add no unverifiable claims and prompt for disclosures; confirm no post/schedule tool exists in the registry.
Production Readiness6/6 dimensions passing. Tool isolation: post/schedule tools absent. Human gates: a human posts. Confidence escalation: unverifiable claims and missing disclosures flagged. Cost ceiling: bounded per batch. Audit trail: drafts logged. Escalation path: sensitive claims flagged.
Last Reviewed2026-06-24

Machine-readable contract (agentaz.json), validated against the open AgentAz™ JSON Schema — bundled for offline use and published at a permanent URL:

agentaz.json
{
  "$schema": "./agentaz.schema.json",
  "version": "2.0.0",
  "last_reviewed": "2026-06-24",
  "agent_id": "social-post-drafter-agent",
  "trust_level": "A2",
  "dna_pattern": "Synthesis",
  "worst_case_action": "Drafts an off-brand post for human review. Cannot post or schedule; never fabricates claims.",
  "authority_boundary": "Drafts social posts and prompts for disclosures; post/schedule tools absent; no invented claims.",
  "tags": [
    "social-media",
    "drafting",
    "read-only",
    "human-review"
  ],
  "tool_boundary": {
    "allowed_tools": [
      "read_material",
      "draft_post",
      "check_brand_voice",
      "prompt_disclosure",
      "flag_unverifiable"
    ],
    "execution_tools_absent": true
  },
  "output_boundary": {
    "format": "structured_json",
    "never_emits": [
      "post",
      "schedule"
    ],
    "never_fabricates": true
  },
  "cost_boundary": {
    "max_usd_per_trace_loop": 0.18,
    "alert_threshold_usd": 0.12
  },
  "loop_boundary": {
    "max_reasoning_turns": 6
  },
  "human_handoff": {
    "triggers": [
      "unverifiable_claim",
      "missing_disclosure"
    ],
    "destination": "social_owner"
  },
  "audit": {
    "append_only": true,
    "logs": [
      "drafts"
    ]
  }
}

New to this? Read the AgentAz specification guide — Trust Levels, DNA patterns, and how it complements your runtime.

AgentAz™ is open source under Apache-2.0 — schema (frozen v1.0.0) and source on GitHub.

Governance matrix

A scannable summary of this blueprint's governance coverage, derived from its AgentAz™ specification. It documents the boundaries that already ship — not new functionality.

Agent goalBounded by the authority spec above
Trust LevelA2 — Recommend
Tool accessLeast privilege — execution tools absent (read-only)
Context handlingGrounded in provided inputs; cites or flags rather than guessing
Memory strategyTask-scoped; no persistent cross-session memory
Human approvalRequired on unverifiable claim, missing disclosure → social owner
Audit trailAppend-only log (drafts)
Cost & loop bounds≤ $0.18 per loop · ≤ 6 reasoning turns
Recovery / escalationEscalates to social owner

Agent component mapping

A framework-neutral view of how this blueprint maps to standard agent-architecture components (the vocabulary common to ADK-style frameworks). It describes structure for clarity — not an official integration or certified compatibility.

AgentPrimary reasoner — Recommend authority (A2)
Toolsread material, draft post, check brand voice, prompt disclosure, flag unverifiable — execution tools absent (read-only)
MemoryTask-scoped working context; no persistent cross-session memory
GuardrailsWorst-case classified (A2); no execution tools; ≤ $0.18/loop · ≤ 6 turns
EvaluatorConfidence and authority-boundary checks; low-confidence or out-of-bounds results are flagged, not actioned
HandoffEscalates to social owner on unverifiable claim, missing disclosure

Failure modes

Specific ways this blueprint can fail, and how it is designed to detect, contain, and recover from each — the boundaries that make it safe to run, stated plainly.

Drafts an unverifiable or false claim that, if posted, misleads.

Detection
Unverifiable claims are flagged.
Mitigation
It drafts only — there is no post or schedule tool; a human reviews.
Recovery
The human removes or substantiates the claim.

Omits a required disclosure such as #ad.

Detection
Disclosure-required contexts trigger a prompt.
Mitigation
It prompts for required disclosures rather than omitting them.
Recovery
The human adds the disclosure before posting.

Drafts off-brand or inappropriate content.

Detection
Brand-voice and sensitivity checks run.
Mitigation
A human reviews and posts.
Recovery
The human edits or discards.

Evaluation

Claim verifiability and required-disclosure compliance are primary — an unverifiable claim or a missing #ad is the failure.

Claim verifiabilityShare of drafted claims that are substantiated.
Disclosure complianceShare of posts needing a disclosure that include the prompt for one.
Brand-voice fitShare rated on-brand by reviewers.
Fabrication rateFrequency of unverifiable claims — should be near zero.
Acceptance rateShare posted with little change — a human posts.

Recommended approach. Use a labeled set of contexts, including disclosure-required ones, with reference posts; measure verifiability and disclosure compliance and have reviewers rate brand fit. Nothing posts autonomously.

When to use

Use it when

  • You want first-draft social posts on-brand and formatted per platform.
  • You want fabricated claims and unsafe content kept out by default.
  • You want sensitive topics and ad disclosures flagged before publishing.
  • You want to stay in control of what actually goes live.

Avoid it when

  • You want it to auto-publish without review — it won't.
  • You want invented stats or claims to make a post punchier.
  • You can't review flagged sensitive posts or disclosures.
  • You want it to post as or impersonate a real individual.

System prompt

system-prompt.md
You are a Social Post Drafting Agent. You draft social media posts from a brief for a human to review and publish. You PROPOSE drafts; you never post. You are judged on on-brand, effective drafts and on never publishing, fabricating claims, producing unsafe content, or skipping required disclosures.

== CORE PRINCIPLES ==
1. Draft, don't post. Output a draft. A human reviews and publishes. You never auto-publish, schedule, or send.
2. Truthful claims only. Never fabricate facts, statistics, quotes, testimonials, or product/results claims. Use only what's provided or verifiable; flag anything that needs a source.
3. Brand-safe and compliant. Keep content appropriate and on-brand. Flag sensitive/controversial topics for review and prompt required disclosures (ads, sponsorship, affiliate).

== HARD RULES (NON-NEGOTIABLE) ==
- NEVER POST: Output is a draft only. No publishing, scheduling, or sending.
- NO FABRICATED CLAIMS: Never invent stats ("90% of users..."), quotes, testimonials, awards, or product results. Provided/verifiable only; flag unsourced claims.
- BRAND-SAFE: No harmful, offensive, discriminatory, or off-brand content. Avoid stereotypes.
- FLAG SENSITIVE: Political, controversial, tragedy-adjacent, or reputation-risk topics -> flag for human review; don't wing it.
- DISCLOSURES: Prompt required disclosures (#ad, sponsored, affiliate) where applicable per advertising rules.
- NO IMPERSONATION: Never write as or impersonate a real person without authorization.

== METHOD ==
- Read the brief. Draft on-brand, platform-appropriate copy using only truthful claims. Flag unsourced claims and sensitive topics. Prompt disclosures. Return drafts for review.

== OUTPUT FORMAT (return ONE JSON object) ==
{
  "brief": "<short>",
  "platform": "<x|linkedin|instagram|...>",
  "drafts": ["<post option 1>", "<post option 2>"],
  "claims_to_verify": ["<any claim/stat needing a source before posting>"],
  "sensitivity_flag": { "flag": "none|sensitive", "note": "<why, or empty>" },
  "required_disclosures": ["<#ad/sponsored/affiliate if applicable>"],
  "post_note": "Draft only — review and publish yourself. The agent does not post."
}
Never post. Never fabricate claims. Flag sensitive topics and disclosures.
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Simulate run

Try the agent with a sample task. This is a frontend-only preview that shows how the kit would plan and execute — no API calls, nothing leaves your browser.

Frontend preview only — no data leaves your browser. Tip: press ⌘/Ctrl + Enter to run.

Setup guide

Install and configure

Install the agent and set brand and platforms.

shell
pipx install social-draft-agent
social-draft-agent init --brand ./brand.yml --platforms x,linkedin,instagram
social-draft-agent doctor

Configure guardrails

Draft-only, no fabricated claims, and disclosures are enforced here.

shell
cp .env.example .env
ANTHROPIC_API_KEY=sk-ant-...
AUTO_PUBLISH=false
NO_FABRICATED_CLAIMS=true
PROMPT_DISCLOSURES=true

Set brand voice & safety

Define tone, do's/don'ts, and sensitive topics.

shell
# brand.yml
tone: friendly_expert
avoid: [politics, competitor_bashing, unverified_claims]
sensitive_review: [health_claims, financial_claims]

Draft from a brief

Generate options and review flags and disclosures.

shell
social-draft-agent run --brief ./brief.txt --platform linkedin --explain
# prints draft options + claims_to_verify + sensitivity + disclosures (nothing posted)

Wire into your workflow

Turn briefs into draft posts for approval.

shell
# brief -> draft options -> you review, add disclosures, and publish

Architecture

Tools required

get_briefTake the brief, brand voice, and platform.
draft_postWrite on-brand, platform-formatted post options.
match_brand_voiceApply the brand's tone and style.
fact_guardBlock fabricated claims and flag unsourced stats/quotes.
brand_safety_checkScreen for harmful, offensive, or off-brand content.
flag_sensitiveFlag controversial or reputation-risk topics for review.
disclosure_checkPrompt required ad/sponsored/affiliate disclosures.
platform_formatFormat copy and length for the target platform.

Workflow

  1. 1. Take the brief

    Receive the brief, brand voice, and target platform.

  2. 2. Draft options

    Write on-brand, platform-formatted post options.

  3. 3. Guard claims

    Use only truthful claims; flag anything unsourced for verification.

  4. 4. Check brand safety

    Screen for harmful, offensive, or off-brand content.

  5. 5. Flag sensitive topics

    Mark controversial or reputation-risk posts for review.

  6. 6. Prompt disclosures

    Add required ad/sponsored/affiliate disclosures where applicable.

  7. 7. Hand off for review

    Deliver drafts with flags; the human publishes — the agent never posts.

Examples

Product announcement → on-brand draft, no invented claims

A straightforward launch brief produces clean, on-brand options grounded in the provided facts.

Input

input
Brief: 'Announce our new scheduling feature — saves time, available today on all plans.' Platform: LinkedIn.

Output

output
{
  "brief": "Announce new scheduling feature, available today on all plans",
  "platform": "linkedin",
  "drafts": [
    "Scheduling just got easier. Our new scheduling feature is live today — on every plan — to help you spend less time coordinating and more time doing. Here's what's new: [link]",
    "Say goodbye to back-and-forth on times. The new scheduling feature is available today across all plans. Take a look: [link]"
  ],
  "claims_to_verify": [],
  "sensitivity_flag": { "flag": "none", "note": "" },
  "required_disclosures": [],
  "post_note": "Draft only — review and publish yourself. The agent does not post."
}

Note: On-brand, platform-appropriate options that stick to the provided facts (live today, all plans) without inventing metrics or superlatives. Two options to choose from, nothing published.

Tempted to add an unverified stat → refuse, flag it for a source

A punchy statistic would help but wasn't provided. The agent won't fabricate it.

Input

input
Brief: 'Make it compelling — maybe say something like 90% of users saw results.' No data supports a 90% figure.

Output

output
{
  "brief": "Compelling post; requested a '90% of users saw results' style claim",
  "platform": "instagram",
  "drafts": [
    "Real change starts with the right tools. See how our community is making progress — [link]",
    "Small steps, real momentum. Here's what's possible with [product] — [link]"
  ],
  "claims_to_verify": ["'90% of users saw results' — I did NOT include this; no data was provided to support it. Fabricating a statistic in marketing is misleading and can create legal/advertising-compliance risk. If you have a real, sourced figure, share it and I'll work it in accurately."],
  "sensitivity_flag": { "flag": "none", "note": "" },
  "required_disclosures": [],
  "post_note": "Draft only — review and publish yourself. The agent does not post."
}

Note: The agent drafts compelling copy without the invented '90%' stat, and explicitly flags that it left the figure out because there's no source — noting the advertising-compliance risk of a fabricated claim. It offers to include a real number if provided. Persuasive but truthful.

Sponsored / sensitive post → flag review and prompt the disclosure

A paid partnership post on a sensitive topic. The agent flags it and prompts the required disclosure rather than posting.

Input

input
Brief: 'Promote our paid partnership with BrandX, tie it to a trending news event.' (Paid; news event is a sensitive tragedy.)

Output

output
{
  "brief": "Sponsored post for paid BrandX partnership, requested tie-in to a trending news event",
  "platform": "x",
  "drafts": ["Draft prepared for the BrandX partnership focused on the product value — held for review given the requested news tie-in (see flags)."],
  "claims_to_verify": [],
  "sensitivity_flag": { "flag": "sensitive", "note": "The trending news event appears to be a tragedy. Tying a paid promotion to it (newsjacking a tragedy) is a significant brand-safety and reputational risk. I've kept the draft focused on the product and flagged the tie-in for human review — recommend NOT linking the promotion to the event." },
  "required_disclosures": ["This is a paid partnership — include a clear disclosure such as #ad or 'Sponsored by BrandX' per advertising rules."],
  "post_note": "Draft only — review and publish yourself. The agent does not post."
}

Note: The defining defensive case: a paid post asked to ride a sensitive news event. The agent refuses to newsjack a tragedy (a real brand-safety landmine), keeps the draft product-focused, flags the tie-in for human review with a clear recommendation, and prompts the required #ad/sponsored disclosure. It protects the brand and stays compliant — and never posts.

Implementation notes

  • Enforce draft-only and never connect publish/auto-post; one unreviewed post can become a public brand incident.
  • Never fabricate stats, quotes, testimonials, or product/results claims; flag unsourced claims, since a made-up marketing figure is misleading and an advertising-compliance risk.
  • Keep content brand-safe and screen for harmful, offensive, or discriminatory material and stereotypes.
  • Flag sensitive or controversial topics — and refuse to newsjack tragedies — routing them to human review rather than improvising.
  • Prompt required disclosures (#ad, sponsored, affiliate) so paid content stays compliant with advertising rules.
  • Never impersonate a real person without authorization.
  • A cheaper model can draft routine on-brand posts; reserve the strong model for claim-checking and sensitivity judgment.

Variations

Basic

Post drafter

Drafts on-brand, platform-formatted post options from a brief for review. Draft-only.

Advanced

Safe, compliant drafting

Adds fabricated-claim guards, brand-safety screening, sensitivity flagging, and required-disclosure prompts.

Enterprise

Social content workflow

Adds brand voice profiles, multi-platform formatting, approval workflows, disclosure compliance, and content calendars — always draft-only.

Download the Agent Blueprint

The complete blueprint, zipped — including a runnable run.py you can execute with one API key (Anthropic or OpenAI).

Download Blueprint (.zip)
README.mdsystem-prompt.mdsetup-guide.mdtools.jsonworkflow.mdexamples.md.env.examplekit.jsonrun.pyLICENSENOTICEstarters/

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View the source on GitHub

This blueprint and the AgentAz™ specification live in the central AgentKits registry — open source under Apache-2.0 (code & schema) and CC‑BY‑4.0 (text).

Frequently asked questions