The Playbook for the
Signal-Driven Enterprise
Deep dives on deploying AI Agents, leveraging Intent Signals, and re-architecting workflows for the autonomous future.
The 2026 Competitor Landscape
Don't buy a fragmented stack. We track 30+ top providers across AI Agents and Intent Data. See who leads the market in coverage, latency, and depth.
The Intent Signal Index (Database)
A living comparison of Bombora, 6sense, Demandbase, and other signal providers. We track latency, data sources, and coverage.
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.
Deanonymization is Not Intent
Just because an IP address visited your site doesn't mean they are buying. The critical difference between 'Identity Resolution' and 'True Intent'.
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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