Blockchain enthusiast with a focus on Web3 consulting and digital asset trading.Freelancing my way through the decentralized realm, creating innovative solution
15/15
Today ChatATP isn't just one product.
It's a company building infrastructure for AI agents.
My dream is simple:
Make it possible for anyone, especially builders in Africa, to create powerful AI agents without going through all the pain I went through.
We're just getting started.
https://t.co/KSuG7GWnkn
1/15
People know ChatATP today as an AI agent company.
But the story didn't start with AI.
It started with a teenager in Nigeria who didn't even own a laptop.
I learned Python on my dad's Android phone because I wanted to build software.
This is the story of how that eventually became a company building AI infrastructure.
🧵👇
I have a theory:
My fellow Nigerians don't like paying for software, even when they can comfortably afford it.
We’ll happily pay for food, data, subscriptions and gadgets...
But tell us to pay ₦5,000 for software and suddenly we're looking for a free version.
Guys, why ?
They will pay for the one from the west.
They are paying for CapCut, they pay X, etc
But when it comes to Nigerian own software, that’s where they remember purchasing power.
Now that many Nigerian developers are building alternative software and making it more affordable, hopefully they will change their mind and patronize.
Many of such software are listed here https://t.co/5MfVnGMi6R
🚀 New Feature Alert: Agent Preview Console is here on ChatATP Studio!
We’re excited to introduce the Agent Preview Console in ChatATP Studio, your new real-time window into exactly what your agents are doing while you test them.
What’s new?
Live terminal-style logs right inside the Preview tab
Watch every tool call as it happens
See the exact payload, status (LOG / OK), timestamps, and results in real time
No more guessing what your agent is thinking. Now you can monitor its reasoning, tool usage, and responses live while you’re building and testing.
How to use it
Open any agent
Go to the Preview tab
Switch to the Console view
Start chatting, watch the magic (and the logs) unfold in real time
Perfect for debugging, fine-tuning tool calls, and making sure everything works exactly the way you expect before you ship.
Try it now and give your agents the transparency they (and you) deserve!
What do you think? Drop your feedback below 👇
@the_boludada let's build @bachs_hq 's Copilot and Customer Support Agent
@honour_can_code let's build @pxxl_space 's Copilot and Customer Support Agent
@_devTomiwa let's build https://t.co/R02byMbLOH 's Copilot and Customer Support Agent
You can deploy the Agent to Social Platforms like WhatsApp, Telegram, Slack Embed on Website/WebApp or Integrate our JS or PY SDKs
https://t.co/KSuG7GWnkn
My partner got this car tyre pump inflator from Temu and I was so shocked it worked.
Just remembered because he had a flat tyre this morning on his way to work, as in flat, and all he did was park, pumped it himself with this small thing and go.
Dope stuff. I think it costs 19k
We’re solving the Olodo uprising pandemic, one NYSC at a time. That’s our contribution to society.
That’s why @Tunde_OD, @hackSultan and I are launching a ₦250 Million Scholarship Fund to help recent graduates gain real, in-demand tech skills that lead to jobs.
Each successful applicant will receive a ₦160,000 scholarship towards a 9–12 month AltSchool Africa diploma in any course of their choice. Beyond technical training, participants will also receive career support and internship/job opportunities through Jobs59.
We also know that learning without a laptop is a major barrier, so we’ll be providing laptops to a select number of scholarship recipients through an additional application process.
If you know a recent graduate who deserves this opportunity, share this post with them.
Tap to apply 👉🏾 https://t.co/goQ7Jmpctj
If you can build these 12 Agentic AI projects.
You're hired.
Project 1: Structured Output Agent
Enforce Pydantic JSON schemas, validate tool responses, retry on parse errors, log validation failures.
→ Shows: You can make LLMs reliable not random
Project 2: RAG Agent with Citation Grounding
Retrieve context, generate answers with sources, flag low-confidence responses, fallback to search.
→ Shows: You can prevent hallucinations at scale
Project 3: ReAct Planning Agent
Observe → think → act → reflect loop, max iteration limits, self-critique, graceful degradation.
→ Shows: You can build agents that don't infinite loop
Project 4: Multi-Tool Orchestrator Agent
Dynamic tool registry, capability-based routing, permission scoping, parallel execution, conflict resolution.
→ Shows: You can coordinate complex workflows
Project 5: Memory-Enabled Conversational Agent
Short-term buffer + long-term vector recall, context compression, relevance scoring, cross-session sync.
→ Shows: You can build agents that remember users
Project 6: Human-in-the-Loop Approval Agent
Uncertainty detection → pause → request human input → resume with validated context, full audit trail.
→ Shows: You can build safe, compliant systems
Project 7: Cost-Aware Agent Router
Token budgeting per task, model routing by complexity/cost, early exit on confidence, cost-per-decision analytics.
→ Shows: You can reduce infra costs by 40-60%
Project 8: Event-Triggered Automation Agent
Listen to webhooks/queues, execute workflows on triggers, idempotent execution, dead-letter handling, retry logic.
→ Shows: You can build production automation not demos
Project 9: Multi-Agent Debate System
Multiple agents propose solutions, critic evaluates, voting/consensus logic, aggregator synthesizes with confidence.
→ Shows: You can orchestrate swarms not single agents
Project 10: Self-Reflective Agent with Auto-Eval
Execute → evaluate via LLM-as-judge → critique reasoning → regenerate with constraints, log improvement metrics.
→ Shows: You can build systems that improve over time
Project 11: Production Agent with Observability
Deploy with LangSmith/Arize tracing, latency/cost dashboards, alerting on loops/failures, canary testing, rollback.
→ Shows: You can ship to production not just localhost
Project 12: Open Source Agent Framework Contribution
Extend LangGraph/CrewAI/AutoGen with new pattern, write docs + demo, publish benchmarks, submit PR + tutorial.
→ Shows: You're a community builder not just a consumer
(Bookmark this)
happy building...
Just upgraded the ChatATP Studio Visual Agent Builder. 🚀
It's now much closer to the flexibility of n8n and Make.
✨ Free drag-and-drop
🔗 Connect components with nodes
🖐️ Zoom & pan
⚡ Fluid canvas interactions
You can now build AI agents in 4 ways:
• Fill a form
• Drag & drop on the Visual Canvas
• Vibe Build with ChatATP Studio Copilot
• Deploy An Agent Template
An agent is simply made up of:
🧠 LLM
🛠️ Tools
📚 Knowledge Base
🌐 Platforms
...with Behaviour and Personality shaping how it thinks and acts.
Still cooking. 👨🏽🍳🔥
Check it out at https://t.co/KSuG7GWnkn
One Copilot.
Three ways to use it.
💬 Popup when you need quick help.
📑 Sidebar while you're working.
🖥️ Full Screen when it's time to lock in.
The goal wasn't just to make ChatATP Studio beautiful, it was to make AI fit naturally into your workflow instead of getting in your way.
Still refining every interaction. 🚀
#buildinpublic #AIAgents #SaaS
Our ecosystem currently consists of three products:
1. ChatATP Agent(https://t.co/VnsA8Vi6QN)
An AI agent that lets users talk from anywhere, think with any AI model, and act through any tool. It is designed to provide a unified AI experience across different models and integrations.
2. ChatATP Studio(https://t.co/hVm6OF1SlW) (Our Primary Focus)
ChatATP Studio is a no-code platform that enables businesses to build AI agents for any platform, powered by any language model, and connected to any business tool.
With ChatATP Studio, organizations can create:
- AI-powered website chatbots
- In-app AI copilots and assistants
- Customer support AI agents
- Help centers with embedded AI chat
- Product updates and news channels
- AI workflows connected to existing business tools
One of our flagship capabilities is ChatATP Studio Copilot, an AI assistant that helps users build and manage AI agents, configure integrations, manage help centers, connect LLM providers, and automate virtually any task within the platform using natural language.
Our goal is to make building and managing enterprise AI agents as simple as having a conversation.
3. ChatATP Developers
A developer platform for building AI tools and OAuth integrations that AI agents can securely use to interact with external applications and services.
@Dominus_Kelvin Building @chatatpai
ChatATP Agent is an Agent that lets you talk from anywhere, thinks with any model, and acts through any tool.
ChatATP Studio is the platform that lets you build agents for any platform, powered by any model, and connected to any tool without coding.
We're live.
ChatATP Studio — an Agent OS for businesses that can't afford to wait on an AI engineering team.
Deploy proactive agents on WhatsApp, web, Slack, and Telegram. Memory. Scheduling. Any LLM.
Free to start → https://t.co/zuOIirOwwp
What does your first agent do?
🎉 CHANGELOG v19.0.0
✨ +1 year experience ⚡ Performance improvements 🤖 AI upgrade installed 🚀 CEO mode active ☕ Coffee dependency increased 🐛 Some previous bugs fixed 😴 Sleep schedule still under investigation.
Happy Birthday to the developer behind the commits. 🎂🥳
We got into Y Combinator (P26)
After scaling SimpleClaw to $40k MRR in <3 weeks, we learnt what our users were trying to accomplish - build companies with agents.
SimpleClaw is shutting down;
I’m now 19, and made the hard decision to skip college to build Result, my biggest bet so far.
Company announcement tomorrow.
ok, back to work.
I am currently running a 100 Days Build with AI Challenge but beyond that
I want to build a community of people who also want to build with AI
A place where we can learn, ship projects, stay ahead with AI, participate in hackathons and win together
If you are interested let me know
fundraising in africa is not the problem.
not knowing where the money is that's the problem!
i've been fixing that, we've got access to £50 million just for Africa founders.
If you're an African founder trying to raise and i havent sent you the link to our community.
Tell me here 👇