The Playbook for the
Autonomous Enterprise
Deep dives on deploying AI agents, re-architecting workflows, and navigating the shift from human-led to signal-driven operations.
The 2026 Agent Landscape
We are tracking 20+ top competitors across HR, Sales, and Finance. Don't buy a fragmented stack—see who truly leads the market in coverage and depth.
The 2026 Agent Index (Main Database)
Access our living database of 20+ top AI competitors. Compare pricing, SWOT analysis, and feature coverage across HR, Sales, and Ops.
Deep Dive: Unorthodox LLC
Is the future of AI agents bespoke services or SaaS? We analyze Unorthodox's 'human-centered' approach, pricing models, and SWOT.
Anatomy of a Hype Cycle: Deconstructing the 'AI SDR'
A viral Reddit post claims AI is 'scary close' to replacing humans. We analyze the missing metrics and architectural gaps that make it a liability.
Blueprint: The Enterprise Inbound Orchestrator
Speed-to-lead is dangerous without governance. We open-source the architecture for a policy-driven, auditable inbound runtime.
The Token Pricing Trap
When you pay by the token, you incentivize hallucinations. Why enterprise reliability requires a capacity-based pricing model.
The 'AI SDR' is Dead. Long Live the Runtime.
A frustrated founder writes: 'We built an AI SDR, and then we killed it.' We diagnose exactly why they fail and how Supervised Architecture fixes it.
Why 'DIY Growth Stacks' Don’t Survive Enterprise Reality
Deterministic workflows + scraping + LLMs ≠ Agentic AI. We break down the security, reliability, and compliance gaps that disqualify DIY stacks.
Agents ≠ LLMs: Our Runtime Blueprint
Why we stopped using off-the-shelf AI SDRs and built a private supervision tree for autonomous sales. (Code included).
Stop Calling It 'Just an LLM with Tools'
An agent is a system architecture, not a model. We break down the anatomy: Perception, Memory, Policy, and Execution.
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