Turn what your company does into content only your founder could write.
You submit a signal like a closed deal, a shipped feature, or a customer win. SignalStory turns it into LinkedIn posts, X threads, and blog drafts written in your founder's voice. Six agents think before one writes, and the anti-slop editor rejects anything generic.
Most AI content sounds the same because it all starts the same way: writing.
No point of view
Prompt-to-post tools don't know what your founder believes, so they fill the gap with the average opinion of the internet.
No proof
Claims with no customer story, number, or specific behind them read as filler. Your buyers notice.
Anyone could have posted it
If a competitor could publish the same post by swapping the logo, you are building the category for them.
SignalStory inverts that order: writing happens last. Every draft is grounded in what your company believes, says, and can prove before the first sentence is written.
From signal to publish-ready draft in four steps.
Six agents run in order, and only the fifth one writes.
Most tools ask a single model to do the whole job in one pass. SignalStory splits the work across specialists, with a quality gate before the writing and another after it.
Event Listener
extractionTurns the raw signal into clean, verifiable facts: what happened, who was involved, and what can be proven.
Significance Scorer
reasoningJudges whether the signal deserves content at all, scored against your editorial strategy.
Not everything deserves a post.
Weak signals are rejected here rather than padded into thin content, and the rejection comes with a note on what would change the verdict.
Story Finder
reasoningGenerates competing angles for the same signal, then ranks them by how distinctive each one is.
Narrative Strategist
reasoningCommits to one angle and builds the brief: the argument, the structure, and a ledger of claims. Each claim is marked supported or unsupported by your knowledge library.
Channel Transformer
writingThe first and only agent that writes prose. It turns the brief into a LinkedIn post, an X thread, and a blog piece, each shaped for how that channel gets read.
Anti-Slop Editor
reasoningScores every draft against one question: could a generic model have written this without your context?
Generic drafts don't ship.
A failing draft gets exactly one rewrite using the editor's notes. If it fails again, it is flagged for you instead of being published quietly.
What you get alongside the drafts.
Your tools, connected once
Native connections for Pipedrive, Attio, Linear, and GitHub, plus a generic webhook that covers HubSpot, Salesforce, Gong, Slack, and anything Zapier or Make can reach.
Content that cites its sources
Paste in case studies, changelogs, and past posts. Drafts pull from them with citations, and every claim shows whether a real source backs it.
Every claim traced to a source
Each draft carries its evidence trail: which sources grounded it, and which claims you should check yourself before publishing.
Written for each channel
One brief becomes a LinkedIn post, an X thread, and a long-form blog piece. Each is restructured for its format rather than copy-pasted between them.
Regenerate a single channel
If the thread misses, rewrite just that channel from the same brief. The thinking is preserved and only the writing runs again.
Know what every draft costs
Per-run cost tracking and prompt versioning show what you spend and which instructions produce the best drafts.
Common questions
Why does the output sound less like AI?
Because writing happens last. Every earlier stage is grounded in your founder's beliefs, brand voice, editorial strategy, and cited company knowledge. An anti-slop editor then gates whatever comes out of the writing step.
Do I have to write the content myself?
No. You submit a short signal, and the pipeline produces LinkedIn, X, and blog drafts you can review, edit, copy, export, or schedule.
What makes the output 'grounded'?
A retrieval step pulls proof from your own knowledge store, and the brief records which claims those sources actually support. Anything ungrounded is flagged for you.
Can I bring signals in automatically?
Yes. Connect Pipedrive, Attio, Linear, GitHub, or any tool through a generic webhook, and qualifying events become signals on their own.
Publish something only your company could have written.
Connect your tools, teach SignalStory your voice, and let the pipeline turn your company's real work into content that sounds like you wrote it.