PRODUCTS
We run our own products - so client advice isn't theoretical.
IllDoItApp and IllReach put AI inside live workflows - moderation, signal filtering, draft-and-review - not wrapper demos. Here's what they are and what running them taught us.
IllDoItApp
A task marketplace - live, with real money moving.
What it is
People post everyday tasks; nearby workers bid, get selected, and get paid. AI helps with moderation and messy task descriptions. An agent interface is in development to draft tasks and surface nearby work - on top of the existing lifecycle, not instead of it.
What it proves
- AI sits where posts are messy - not in the hero banner.
- You get paid in the same flow where you accepted the work.
- Trust (reviews, disputes) lives in the product, not in a spreadsheet.
- You can add an agent layer without rewriting the marketplace.
What we learned
Running IllDoItApp showed us where AI actually helps: incomplete task posts, moderation calls, payout timing. That calibration goes into client work - not "add AI everywhere."
How it flows
- request
- AI moderation
- agent layer
- matching
- payments
- trust
IllReach
Find customers in noisy chats - without becoming a spam bot.
What it is
IllReach monitors Telegram groups and online communities for buying signals that match what you sell. AI filters the noise into a review queue; you approve every reply before it sends.
What it proves
- AI filters community noise into a review queue - not an autoposter.
- You approve every reply before it sends.
- Drafts match your voice; automation finds moments, humans decide.
- The strongest signal is often buried in ordinary chat.
What we learned
IllReach keeps the boundary clear: AI finds the right moment, people decide what to say. Customer discovery should feel like useful listening - not scraping, blasting, or replacing judgment.
How it flows
- groups
- AI filter
- signals
- review queue
- draft reply
- human approval
FROM RUNNING PRODUCTS
What running products changes about client work.
The decisions that look obvious in slide decks are not obvious during an incident. We calibrate on our own software first.
We've seen what breaks under load.
Architecture choices get tested on our own systems before we recommend them to anyone else.
Migrations matter more than launch day.
If we haven't run a painful schema change ourselves, we won't recommend one casually.
Ops shapes the product.
Refunds, abuse, disputes - those change what "a feature" even means. Designing without operating is theory.
Same bar for your system.
WORK WITH US
If you have a system that has to keep working, let's talk.
We take on a small number of client engagements per year. The same standards that apply to our own products apply to yours.
SIGNED
Ivan Kniaziev
Founder & Lead Engineer