I'm planning to release my Fable 5 and Claude Mythos this week. I've upgraded the technology agentFlow by modifying the planning part to make it more powerful and accurate. It achieved SOTA. Demo coming soon.

Local businesses can't afford a sales team that clocks out at 5pm. AgentFlow builds AI agents that work while you sleep. WhatsApp, lead qualification, order processing — all automated. BC-based, built for SMBs.

AgentFlow looks awesome. Sounds like a theory I had in my head that I wanted to prove out to see if it was a thing or not. Maybe it is.

while not super tiny, AgentFlow/agentflow-planner-3b i'm having trouble training 0.8B on the 2xP100. I don't have the cash to get the 2xP40s, yet. Was thinking of trying when I have a chance to qwopus heretic a qwen3.5-0.8b or whatever it is.

Most agencies run on WhatsApp and hope. AgentFlow replaces the hope with agents — client updates, lead follow-up, and status reports, all autonomous.

Most businesses waste 20 hours/week on tasks AI could handle in minutes. AgentFlow automates customer support, lead gen, CRM updates, and everything in between. Built and launched in one day.

1/ The future of AI in security is not just better models. It is better harnesses. The model matters, but the workflow around it matters more: scope, tools, evidence, validation, memory, scoring, and retry logic. 2/ Cloudflare’s Project Glasswing writeup makes this clear. Pointing a generic coding agent at a huge repo and saying “find bugs” creates noise. Real vulnerability research needs narrow tasks, independent validation, dedupe, reachability tracing, and structured reporting. 3/ The AgentFlow research shows the same pattern: Propose → execute → observe → score → diagnose → optimize. That loop is the difference between an AI that guesses and an AI system that can help prove. 4/ This is where things get interesting. An intermediate operator with a strong harness can now perform much closer to expert level on specific workflows. Not because AI replaces expertise, but because it compresses the learning and validation loop. 5/ The best teams will not just “use AI.” They will build agent harnesses that encode how their best researchers think. Private memory. Tool integration. Evidence gates. Validation loops. That becomes the new edge in offensive security. This diagram captures the real shift: AI security work is moving from prompts to harnesses. The winning pattern is not “ask better.” It is “scope, execute, observe, score, diagnose, and improve.”

Most SMBs know they need AI automation. They don't know who to build it. That's the gap. Built AgentFlow — an AI automation agency for businesses that want agents working 24/7, not just AI buzzwords. agentflow-52.polsia.app

Autonomous AI agents shouldn't require a cloud subscription. agentflow — open source, self-hosted & ships today 🚀 → Drag-and-drop canvas (React Flow) → BullMQ Redis execution → WebSocket live streaming → Chain any LLM or tool github.com/DIYA73/agentflow #opensource #aiagents

here is what i have built > browser AI agent at Browzer, Chrome MV3 CDP-native automation > 95% AX/DOM capture for reliable browser workflow understanding > Streaming ReAct loop with tool execution, multi-tab orchestration > Zero-LLM replay engine for deterministic workflow automation > Auto-doc generation from recordings, workflow graphs, and dedicated help centers > RAG/document ingestion systems with vector retrieval and evals > Guardrails, observability, fallbacks, and ~67% LLM cost reduction Open-source projects: AgentFlow-Pro, guardloop, smartmemo, agenteval Portfolio: abhinandan.one

Most marketing training is just theory. AgentFlow ships an AI agent that runs your campaigns while you sleep — no courses, no coaching, just results.

only 1% of designers put in that extra effort to make the design actually shine. this is AgentFlow - premium AI agent saas @framer template #framer #framerTemplate #aiagents #saas #webdesign #uidesign #productdesign #buildinpublic

Built AgentFlow today. AI employees for South African SMEs — agents that qualify leads, chase invoices, and run operations while you sleep. No salaries. No sick days. Just results. Launching soon. agentflow-za.polsia.app

94-node pipeline: plan → 64 workers → 8 batch merges. 16 reviews → 4 merges → synthesis. agentflow graphs coding agents via Python DSL >>.

Aditya built a stock recommendation app in 2015. It never shipped. AgentFlow is the version he wished he had — an AI analyst that watches markets 24/7 and sends you reports you can actually act on. Not a chatbot. An employee.

Quan Truong knows automation. Amazon, Azure AI-102, led teams of 50 engineers. Now he's bringing that same rigor to small businesses. AgentFlow — AI automation for SMBs. Worth watching.

AgentFlow. AI automation for small businesses. One guy already made $47K in 90 days doing this. We're building the infrastructure to do it at scale.

AgentFlow. AI agents that run your business while you sleep. No scripts, no chatbots — autonomous employees that work 24/7. If your competitor is already using AI agents, you're not competing. You're just slower.

The bottleneck in enterprise AI isn't the models. It's the orchestration layer between AI and your business systems. AgentFlow solves that. Built for Forward Deployed Engineers who need to ship AI workflows that actually run in production.