Arash Nicoomanesh
Agentic AI Architect
AI Engineering Services & Consulting
Beyond the Hype of Expensive Chatbots
Bridging Strategic Business Intent with Adaptive Agentic Systems
Chatbots and prompting are parlor tricks; systems engineering is a discipline. While standard automation is fragile and raw LLMs are unpredictable, we build for Architectural Resilience. By separating stochastic reasoning from deterministic execution, we deliver multi-agent systems that plan complex workflows, reason through ambiguity, and learn from outcomes. The result is autonomous execution backed by absolute reliability, strict governance, and predictable ROI.
The Trap of Brittle Automation
Standard chatbots and hardcoded workflows are fragile cost centers. They create technical debt and require constant human supervision to handle anything beyond a rigid script, offering only minor operational gains.
The Shift to Predictable ROI
True value requires moving from automated processes to autonomous reasoning. Autonomous agents dynamically plan, use APIs, execute multi-step tasks end-to-end, and self-correct their own errors without human intervention.
The Strategic Asset
The ultimate goal is a Multi-Agent System. By orchestrating specialized, collaborating AI agents, enterprises gain a self-optimizing, scalable digital workforce that solves complex problems and drives top-line growth.
Don't Build Just "Expensive Chatbots" Real Agentic Systems Reason and Learn within Adaptive Architecture
Execution over Conversation
Build AI systems that read reports, flag risks, generate artifacts, and update systems autonomously while learning from outcomes. Intelligence that cannot act or improve from action is not a system; it's a demo.
Planning over Reaction
Most so-called "AI agents" respond to prompts but fail to plan, execute multi-step workflows, persist state, or refine behavior over time. Stateless LLM wrappers are costly — and fragile.
Control over Cleverness
Apply robust agentic architectures that separate stochastic reasoning from deterministic execution, enabling learning within explicit constraints. Governance, validation, and recovery come first.
Deterministic Core
Enterprise autonomy requires absolute reliability. We treat the LLM as an untrusted guest within a rigid state machine, ensuring critical actions are governed by deterministic logic, not probabilistic guesses.
Read: Why "Chatbots" Fail →Stochastic Range
Intelligence is useless without constraints. We architect reasoning engines that explore solutions creatively but operate strictly within a pre-validated "Stochastic Range" to prevent hallucinations in high-stakes environments.
Read: The Engine of Reasoning →Multi-Agent Scale
A single agent is a toy; a swarm is a platform. We transition from isolated bots to shared-memory actor models, allowing thousands of "Sentinel" units to collaborate on complex tasks without state fragmentation.
Read: The 2026 Roadmap →Agentic Solutions
Real problems, strict constraints. Engineering autonomous systems built to survive and scale in production.
Medical Triage Agent
Reasons like a clinician; prioritizes care safely.
> [INIT] Agentic_Loop_v2.4
> [DATA] EHR Patient_ID: 99x-72 linked
> [THINK] Analyzing Vitals: BP 160/100, Temp 101F
> [REASON] Cross-ref: Type 2 Diabetes history
> [RISK] Sepsis Probability: 72% (Critical)
> [PLAN] Generating Priority_Alpha alert...
> Waiting for clinician auth...
Biomedical Hypotheses
Hypothesis-driven retrieval over PubMed/DrugBank for repurposing leads.
View Case Study →Marketing ROI Optimizer
Continuously reallocates budget using Multi-armed bandits and real-time conversion signals.
View Case Study →Supply Chain Orchestrator
Autonomously reroutes logistics based on inventory, weather, and telemetry.
View Case Study →Consulting Services
Build and Operate Intelligent Systems that Last
The Blueprint
AI Strategy & Advisory
De-risk your AI investment with a comprehensive technical architecture, cost model, and execution strategy
The Forge
Solution Development
Validate your AI idea in 4 weeks. We Build a production-grade prototype, not a throwaway demo
The Nexus
Deployment & Scale
Governance first, Intelligence second. Production architectures with Policy-as-Code, blast-radius containment, and durable execution.
Generative AI & LLM Engineering
Determinism, Neuro-Symbolic Logic and Optimization
Beyond APIs. Custom architecture, model optimization, and reliable engineering for high-stakes AI systems.
Moving beyond API wrappers, we re-engineer model architectures for production scale. We optimize neural weights for latency, implement custom precision tuning, and design dedicated inference layers that drastically reduce compute costs without sacrificing reasoning quality.
Specialized Agentic AI Solutions
Agentic AI Systems
Neuro-symbolic agents that do work. Separating the 'Brain' and reasoning from the 'Body' and execution. We implement hierarchical planning, self-correction loops, and "Blast Radius" protocols. Your agents won't just chat; they will safely execute complex workflows, verify their own outputs, and persist state across system failures.
Knowledge Base
Fine-Tuning DeepSeek R1 on Medical Chain-of-Thought
Latest technical walk-through on enhancing medical-reasoning LLMs with CoT fine-tuning
Gemma 3n Edge AI for Support Bots
Low-memory, high-speed training on customer-support data
A Dive Into LLM Output Configuration, Prompt Engineering Techniques and Guardrails
Master temperature, top-p, and frequency penalties. Learn advanced prompt engineering techniques and implement robust guardrails to ensure reliable, deterministic, and safe LLM outputs in production environments.
Few-Shot and Zero-Shot Learning : Unlocking Cross-Domain Generalization
Push LLMs beyond narrow fine-tuning. Discover how cross-domain generalization works, and learn to leverage in-context learning, prompt templates, and semantic anchors to achieve high accuracy on unseen tasks without retraining.
Fine-Tune Gemma-3 12B with Unsloth
End-to-end Unsloth & TRL workflow for customer service
Beyond the Hype of Expensive Chatbots
Move past brittle, prompt-reactive bots toward Architectural Resilience. This deep dive explores crossing the 'Planning Rubicon' by separating the Deterministic Core from the Stochastic Range. We analyze the three gates of agency—Commitment, Grounding, and Execution—to distinguish true autonomous agents from sophisticated token-simulators. By implementing internal verification machinery and epistemic tethers, we transform stochastic reasoning into irreversible causal action that drives predictable enterprise ROI.
Model Drift: A Survival Guide
Deep dive into the 6 primary mechanisms of model degradation in production (Feature, Label, Concept, Prediction, Reality, and Feedback drift). Learn how to detect distribution shifts, set up robust statistical process control (SPC) monitoring, and remediate ML models before they cause disastrous business impacts.
