◈
01Expertise never becomes publications
Knowledge lives in people's heads, documents, and email threads. It never makes it into content.
A CONTENT FACTORY FOR SOCIAL MEDIA
Meaning becomes
content.
Content becomes dialogue
Your brand's knowledge turns into posts, carousels, and videos. Consistent publishing, approvals, and initial lead warming — all in one process.
Your voice. Your rules. Your final word.
Brand context
Content plan
Ready for approval
✳✦Post · cards · video
TYPICAL BREAKDOWNS
The strategy is done,
but publishing stalls
The usual places where content production loses speed and its connection to results.
✦
02Every channel writes from scratch
There is no shared source of facts, so the same material gets reworked for every platform.
▥
03Approvals live in chats
Versions drift across messengers and email. The final text is hunted down a week later.
◉
04Publishing depends on one person
One person drops out for a week, and publishing stops.
↗
05Ads off — inquiries gone
The company rents attention every month instead of building its own content asset.
▦
06Scale = hiring
More channels mean more people in production, not more return from the ones you already have.
PRODUCTION WITH MEANING
From company knowledge
to living content
We capture your brand voice and rules, find topics, and start publishing. Every piece passes checks, and publication results feed the next cycle.
- ◉ Interviews
- ▦ Documents
- ▥ Data
- ▶ Video
SMYSLITproduction
- ▦ Article
- ▶ Video
- ✦ Post
- ? FAQ
- ◈ Cards
Sources → production → publishing → analytics → next release
◈
01Understands context
Brand materials, authored texts, and social signals become the foundation of the voice, the topic tracks, and the content plan.
✦
02Creates and adapts
Finished texts, images, carousels, and videos — matching the formats and limits of the platforms you choose.
↗
03Helps warm up leads
Useful content introduces the audience to the brand. The lead bot delivers material, asks questions, and hands the inquiry to a manager.
NO STRATEGY IN PLACE?
We run a diagnosis before production starts and gather the inputs ourselves
- Audit of sources and channels
- Process and role map
- Content strategy by funnel stage
- Metric baseline
If you already have analytics, we work with your data.
CLIENT DASHBOARD
Full control —
from content to leads
Every release closes with a report: a funnel from post reach to signed contracts, with conversion at every step.
Switch sections in the menu on the left; the data is a demo.
PIPELINE SIMULATION
How SMYSLIT works
Run the simulation and watch the generation chain, from company profile to a verified content package.
01
Data collection
DataAnalytics
02
Strategy
StrategyMedia plan
03
Production
Art directorCopywriterScriptwriter
04
Review
CriticEditor
▸ simulation ready — press “Run the simulation”
START WITH A SPECIFIC TASK
One stream.
A clear first step
We define the format, the scope, and the approval flow. Configuration and pricing are fixed before work begins.
Demo
We break down your task and walk you through the production cycle using a real piece of content.
Pilot
We pick a content stream, gather brand context, and approve the first releases.
Ongoing support
We keep publishing on schedule and feed the metrics into the next iterations.
Tell us what content your brand needs
Formats, channels, and target volume are enough to start the conversation.
THE FIRST STEP TO AN INQUIRY
Keep the conversation going
after publication
The lead bot helps an interested visitor get useful material and take the next step.
Lead magnet→Questions→Qualification→Manager
Handoff to a manager and lead export are available. Connecting an external CRM is discussed separately.
SMYSLIT StrategistSample lead bot dialogue
Here is a content preparation checklist. Which task matters most to you right now?
Setting up consistent publishing.
Which channels do you publish on?
INDUSTRY USE CASES
A universal production cycle
From developers to GameDev: for every industry SMYSLIT assembles its own sources, content, and channels. Each use case includes a cycle setup: sources, formats, control, and metrics.
Developer
From project documentation to demand
View use case ↗
Car dealership
Trims and stock turn into inquiries
View use case ↗
Medical clinic
Clear services instead of fear of the appointment
View use case ↗
Landscape design
Completed projects sell the next estimate
View use case ↗
Marketplace seller
From reviews and reports to cards that sell
View use case ↗
Restaurant
Guests come back for content before the table
View use case ↗
Kids' store
Answers for parents before they ask
View use case ↗
Expert
A personal brand without a copywriter on staff
View use case ↗
IT SaaS
Documentation and cases instead of manual emails
View use case ↗
GameDev
The community grows between releases, not just on them
View use case ↗Target metrics are fixed after an audit of the client's data: no invented numbers, no guarantees.
COMPARISON
Manual production
vs SMYSLIT
A team is needed where decisions about meaning are made. The publishing pipeline is run by the system itself.
In-house team and contractors
- Deadlines depend on specific people's workload
- Every edit means another email or message
- More channels mean more hiring
- Knowledge walks out the door with employees
SMYSLIT
- Publishing follows a route; deadlines are predictable
- Versions and statuses are visible in the system
- Scale grows without headcount growth
- The knowledge base stays with the company
ONE TOPIC. MANY FORMS
Content for the task,
not for the template
26 production pipelines. From a short post to a fully edited video with cuts and voice-over.
CLEAN PUBLICATIONS
Social networks don't flag
SMYSLIT posts as AI
Before publication, SMYSLIT removes digital watermarks and the metadata platforms use to detect generation. The post goes out without a “made with AI” label — followers see the team's regular content.
RC
“Svetly” residential complexyesterday, 18:40
Construction update, week 41: the third-floor slabs are in place; roofing and glazing are next.
♥ 83✱ 10↗ 4
Created with AIwith generator labels
SMYSLIT
removing C2PA tags
and watermarks
RC
“Svetly” residential complexyesterday, 18:40
Construction update, week 41: the third-floor slabs are in place; roofing and glazing are next.
♥ 1 190✱ 143↗ 60
✓ Publishedclean post
✓ Every material is checked — text, image, video
✓ C2PA tags and generator watermarks are removed
✓ Telegram, VK, YouTube, and the other platforms
QUESTIONS AND ANSWERS
Common
questions
What is SMYSLIT?
An AI content production platform. SMYSLIT gathers a company's expertise into a knowledge base and produces texts, images, and videos from it: every piece goes through approval, is published on a schedule, and feeds the analytics of the next release. You can try the platform in a 12-week pilot on a single stream.
How long is the pilot?
12 weeks: two weeks of diagnostics, two of system setup, six of regular operation, and two of comparison against the baseline and a decision on scale.
What do you need from us to start?
A process owner, access to sources, expert review of materials, legal constraints, and baseline data.
Who owns the final text?
SMYSLIT runs production; the final word stays with your expert review. Every material has an owner, a version, and a status.
Where is the data stored?
In the SMYSLIT knowledge base. In the Enterprise configuration, the database is deployed inside the company's perimeter with access logs.
What gets fixed before the start?
Scope and channels, roles and deadlines, quality criteria, effect metrics, and commercial terms.
NEXT STEP
Pick one stream for the pilot
and fix the baseline
- 1 Appoint a process owner
- 2 Choose channels and scope
- 3 Agree on metrics
The first step is limited to a single content stream — the risk is capped by the pilot duration.
