Manage AI Agents as a Product
Platform for teams that want to rapidly iterate on AI functionality. Full transparency of every call, delegate prompts to non-developers, provider independence — without building infrastructure.
We are constantly working on adding new providers. Have suggestions? Contact us
Why CTOs and Founders Choose Assemblix
When PM asks to change a prompt — it's minutes, not a release in a week. When an agent malfunctions — you see every step. When your team grows — you scale without hiring AI developers.
PM wants to change prompt — that's a release in a week
Developers are overloaded, every AI logic change is a ticket, code review, deployment. While you're releasing, competitors have tested 10 hypotheses.
Delegate AI Logic to Non-Developers
PM and founders change prompts, conditions, parameters through visual editor themselves. Developers are freed for product work. Iteration — minutes instead of days.
Debugging AI Agent is Hell
Agent sometimes malfunctions, and you don't see why. Digging through logs, adding prints, restarting. A week spent finding a bug in a prompt.
Transparency of Every Call Out of the Box
See all agent steps: prompts, responses, tools, tokens. Filter by clients, dates, results. Find the problem in 2 minutes, not 2 days.
Data Stuck in One Agent
One agent collected information, another doesn't know about it. Have to duplicate logic or write integrations.
Shared Memory Without Infrastructure Setup
Pass client_id — all project agents get access to client data. Qualifier collected budget? Seller sees it. No Redis, no databases, no code.
Locked to OpenAI — Afraid of Rate Limits
Your product depends on one provider. Prices went up? Limits? API changes? Rewriting all code is months of developer work.
Switch Between Providers in 30 Seconds
OpenAI, Claude, Gemini, GigaChat — switch with one click without refactoring. Compare quality on real data. A/B test models right in production.
What's Under the Hood
Create smart agents visually. No programmers, no servers, no infrastructure headaches.
Iterate AI Logic Without Releases
PM changes prompts and conditions visually — changes in production in minutes. Developers are free for features. Tested 5 prompt variants in an hour? Easy. Even marketers can handle it — programmers only needed for API integration.
Assemblix Remembers Everything. Between Sessions and Agents.
Client wrote to you a week ago? Agent will recall the entire dialogue. Qualifier collected data? Seller will receive it automatically. One memory for all project agents — without database setup.
Operational Control Over All Agents
See every client: which agents they talked to, what they said, what the result was. Filter, export, analyze. Works as a unified monitoring system for all your AI agents.
From Idea to Working Agent — Without Code
Three simple steps. No programmers, no servers, no complex configurations.
Build Agent in Constructor
Drag nodes, connect logic, configure prompts. Agent, condition, tool — all visual. No code, no limitations. From idea to ready workflow — 10 minutes.
import requests
WORKFLOW_ID = "a0dee630-e6fb-442a-bbc6-526e885320bd"
response = requests.post(
f"https://app.assemblix.ru/api/workflows/{WORKFLOW_ID}/execute",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"input": {"message": "Хочу узнать о Pro тарифе"},
"chat_id": "session_abc", # Память агента
"client_id": "user_123" # Общая память
}
)Make API Request with session_id or client_id
One POST request — and agent is working. Pass session_id, and it will remember the dialogue. Pass client_id, and all project agents get access to client data. Memory works automatically.
Debug Before Deploy, Optimize in Production
See every agent step: prompt, response, tools, tokens, execution time. Found a bug? Fixed prompt visually in 2 minutes. Agent in production? See all problems in real time.
Real Use Cases
How companies use Assemblix today
Negotiation Training
Negotiation coaches create AI exercises for clients without programmers. Each agent is a separate skill, shared memory stores student progress.
Soft Skills Lab: 2000+ AI negotiations/month
Lead Qualification
Agent conducts dialogue, collects budget and timelines, saves to shared memory. Another agent classifies and notifies manager about hot leads.
Managers work only with hot clients
AI Skills Testing
Each agent checks a specific skill. Shared memory (client_id) stores results of all tests — complete picture of candidate's competencies.
Automated soft skills assessment
AI Assistant in Product
Embedded AI assistant in SaaS. PM changes scenarios without developers. We see every client dialogue with agent — immediately find problematic prompts and improve.
Speed of AI feature iterations increased 10x
Integration in 5 Minutes
One endpoint. All memory on us.
chat_id for agent memory and for shared memory between agents. No databases, everything works out of the box.client_id
import requests
WORKFLOW_ID = "a0dee630-e6fb-442a-bbc6-526e885320bd"
response = requests.post(
f"https://app.assemblix.ru/api/workflows/{WORKFLOW_ID}/execute",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"input": {"message": "Хочу узнать о Pro тарифе"},
"chat_id": "session_abc", # Память агента
"client_id": "user_123" # Общая память
}
)Flexible Plans for Any Task
Start free. Use included credits or connect your own keys for unlimited work.
Free
For prototyping and testing hypotheses
- 1 agent
- 10 requests / min
- Own API keys (BYOK)
- Project variables
- Community support
Starter
For MVP and early product stages
- 5 agents
- 30 requests / min
- Unlimited with your keys
- Project variables
- Telegram support (24h)
Pro
For production and scaling AI functionality
- Unlimited agents
- 60 requests / min
- Unlimited with your keys
- Project variables
- Telegram support (24h)
Business
For teams with critical SLA and compliance requirements
- Unlimited agents
- 150 requests / min
- Expert consulting and audit
- Turnkey implementation and integration
- Personal SLA and manager
- On-Premise option