Pitch deck
Speak before the thought disappears.
Sound like yourself.
The wedge
You talk. Tony finds what is worth saying - and turns it into content in your voice.
Tony is for B2B founders, experts, consultants, and ghostwriters whose public thinking drives trust and revenue. It starts before the blank page: capture the thought, find the idea, develop it, write it in a recognizable voice, then learn from every decision.
The product loop
A thought enters as speech and leaves as leverage.
The loop gets smarter only when the user's decisions return to Voice.
Now
A useful baseline
Deterministic, legible, ready to test.
The current backend produces a stable VoiceProfile v2 and gives every candidate architecture a fair baseline.
Current limitation
Surface voice can sound right while understanding the person wrong.
01Topic leakage
02No cross-sample stability
03No personalized anti-voice
04Weak confidence
05No real evaluation loop
06Style without evidence
How we improve
One hypothesis at a time
No production win without a blind win.
Automatic eval
Blind A/B
Profile metrics diagnose. Generation metrics decide.
Ideal
Evidence, not adjectives
Voice becomes a learning system the user can recognize and trust.
01
Per-sample analysis
Read each piece on its own terms.
02
Cross-sample aggregation
Find patterns that survive across contexts.
03
Topic vs voice separation
Do not confuse subject matter with identity.
04
Contrastive learning
Learn from edits, rejects, and published truth.
05
Evidence-backed profile
Attach support, counterexamples, and confidence.
06
Compact generation bundle
Give the model only the signal it needs.
07
Generation
Produce a draft without flattening the thought.
08
Feedback loop
Return every decision to Voice.
The moat
Every decision teaches Tony what the user means by "me".
Voice learning
Drafts, edits, rejects, and published outputs make the next draft more recognizable.
Persistent memory
Tony remembers the user's distinctions, preferences, and anti-voice.
Intelligence later
The source-to-idea-to-content-to-performance graph compounds after the workflow earns repeat use.
Closing
Tony remembers how you think - and helps you say what is actually worth saying.
Voice that the user immediately recognizes as their own.