Workspace · Acme AI
Prototype Mode
Agent Training

Agent Training Center

Train your marketing agent with brand knowledge, voice examples, sales rules, and content preferences before it acts.

Training coverage: 78%
01 · Training Coverage

What the agent currently knows

6 dimensions tracked
Brand Knowledge
82%
Strong
Voice Samples
74%
Good
Content Examples
68%
Needs More Data
Offer Clarity
91%
Strong
Risk Rules
86%
Strong
Community Rules
77%
Good
02 · Knowledge Sources

Where the agent learned this

Website copy
Processed
Last analyzed
Jun 14
Insights
42
Product one-pager
Processed
Last analyzed
Jun 12
Insights
18
Founder notes
Added
Last analyzed
Jun 16
Insights
27
Previous high-performing posts
Processed
Last analyzed
Jun 10
Insights
64
Sales call notes
Needs Review
Last analyzed
Jun 09
Insights
11
FAQ document
Processed
Last analyzed
Jun 08
Insights
22
Customer objections
Added
Last analyzed
Jun 15
Insights
9
Community guidelines
Missing
Last analyzed
—
Insights
0
03 · Brand Voice Training

Teach the agent how you sound

Voice Samples
Founder-style LinkedIn post
94%
Founder-led
LinkedIn

We almost killed this product 3 times. Here's what changed when we stopped guessing and started shipping the rough version…

Direct sales CTA
88%
Direct
LinkedIn / X

If your content calendar is held together by Notion and willpower, book a 20-min walkthrough. I'll show you the loop we run.

Educational thread
91%
Useful · Specific
X

1/ Most founders treat content like a chore. Compounders treat it like a product surface. Here's the weekly operating loop ↓

Community reply
92%
Warm · Founder
LinkedIn

Fair pushback. The honest answer is: it won't replace strategy. It replaces the 14 hours/week of execution around it.

Voice Rules Extracted
  • Write like a founder, not a corporate brand
  • Be direct and useful
  • Avoid hype words
  • Use specific examples and numbers
  • Prefer short, punchy paragraphs
  • Make CTAs feel conversational
  • Avoid generic AI buzzwords

Rules are derived from your highest-scoring voice samples and applied to every draft before it ever reaches the approval queue.

04 · Good vs Bad Content Examples

Show the agent what to copy — and what to avoid

Good examples
Specific hook with a number

Why it works: Concrete, scroll-stopping, and earns the click.

LinkedIn
Lesson: Hooks beat headlines — lead with the surprising data point.
Clear point of view

Why it works: Takes a stance instead of hedging. Builds authority fast.

X
Lesson: Opinion + reasoning > balanced summary.
Useful framework

Why it works: Reader can apply it the same day. Saves and shares go up.

LinkedIn
Lesson: Teach a repeatable loop, not a one-off insight.
Natural, conversational CTA

Why it works: Feels like a peer suggestion, not a sales close.

LinkedIn / X
Lesson: ‘If this is you, here's what I'd do' converts better than ‘Book a demo'.
Founder-led storytelling

Why it works: Real timeline, real numbers, real mistakes — high trust signal.

LinkedIn
Lesson: Specificity is the credibility shortcut.
Bad examples
Generic motivational quote

Why it fails: Says nothing, attributes nothing, teaches nothing.

LinkedIn
Lesson: Inspiration without specifics is noise.
Unsupported claim

Why it fails: ‘10x your growth' with no evidence trips the claims library.

X / LinkedIn
Lesson: Every claim needs a number, source, or example.
Overly polished corporate voice

Why it fails: Reads like a press release. Loses the founder edge.

LinkedIn
Lesson: Strip adjectives. Keep verbs and numbers.
Vague AI buzzwords

Why it fails: ‘Leverage AI-powered synergy' fails the voice model.

All
Lesson: Replace buzzwords with concrete capability.
Spammy engagement bait

Why it fails: ‘Comment YES if you agree' damages long-term trust.

LinkedIn / X
Lesson: Earn engagement with substance, not gimmicks.
05 · Claims & Compliance Library

What the agent is allowed to say

Enforced pre-generation
Allowed claims
Allowed
  • Saves time on content planning
  • Helps maintain brand consistency
  • Supports human approval workflows
  • Improves content planning discipline
Requires review
Review Required
  • ROI improvement
  • Revenue impact
  • Growth guarantees
  • Competitive comparisons
Blocked
Blocked
  • “10x guaranteed ROI”
  • Medical / legal / financial advice
  • Claims about competitors by name
  • Fake testimonials
  • Manipulative urgency

The agent uses this library before generating, scheduling, or replying.

06 · Objection Handling

How the agent responds to common pushback

“Will AI content sound generic?”
Angle
Show voice training & brand match scoring
Risk
Low

Every draft is scored against your voice samples — anything <85% gets rewritten or sent back.

Safe to auto-draft
“Will this replace my marketing team?”
Angle
Position as operator, not replacement
Risk
Medium

The agent runs execution. Strategy, taste and final calls stay with your team.

Human review required
“Can I trust autopilot?”
Angle
Default to supervised + show guardrails
Risk
Medium

Default mode is Supervised. Nothing publishes externally without your approval.

Human review required
“How much control do I have?”
Angle
Autonomy levels + claims library
Risk
Low

Five autonomy levels, claims library, and per-channel approval gates. You decide what's auto vs reviewed.

Safe to auto-draft
“What if it replies incorrectly?”
Angle
Risk scoring + escalation
Risk
High

Risky comments (angry, legal, competitor) auto-escalate to a human with full thread context.

Human review required
“How fast can I see results?”
Angle
Set realistic expectation
Risk
Low

Week 1 is calibration. Compounding traction usually starts around week 3–4 of consistent posting.

Safe to auto-draft
07 · Community Response Rules

How the agent handles incoming conversations

Safe to auto-draft
Allowed
  • Positive comments
  • Simple questions
  • Thank-you replies
  • Clarifications about features
Requires human review
Review Required
  • Angry comments
  • Refund / pricing complaints
  • Legal / medical / financial topics
  • Competitor comparisons
  • Sensitive personal issues
  • Public accusations
Always escalate
Blocked
  • Threats
  • Harassment
  • Legal complaints
  • PR risk
  • Platform policy concerns
08 · Agent Memory Preview

What the agent currently understands about you

Brand positioning
Operator-grade AI for founder-led content
Voice profile
Founder · direct · specific · low hype
Audience pain points
Inconsistent posting, no time, weak hooks
Content preferences
Educational, founder story, product value
Sales objections
6 mapped · responses approved
Approved CTAs
Book a 20-min walkthrough · Reply for template
Blocked topics
Medical / legal / financial · named competitors
Community escalation
Auto-escalate angry, legal, PR-risk