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Agentic sales intelligence

DeepLead

Eighteen specialized agents turning an ICP into evidence-backed action.

DeepLead researches companies and people, triangulates public information, scores fit and coordinates safe outreach through specialized agents. The system includes model policy, evaluation gates and cost governance so intelligence quality can improve without making production behavior unpredictable.

18 AGENTSEVIDENCE GRAPHROUTE · CRITIQUE · SCORE

SEMANTIC CRITIC

claim confidence 0.94

Private product repository. Architecture facts are derived from its 42 route handlers, specialized agent modules and executable quality-gate pipeline.

18

specialized agents

42

API routes

40+

automated tests

4

quality-gate stages

System anatomy

Complexity broken into reliable boundaries.

01

Specialized agent graph

Research, enrichment, scoring, critique and outreach responsibilities are separated into bounded modules rather than collapsed into one general agent.

02

Evidence triangulation

Claims are assembled from multiple sources and passed through semantic critique before they become operational recommendations.

03

Policy-based routing

Claude Agent SDK and OpenAI capabilities are selected through task policies that account for quality, latency and cost.

04

Evaluation-driven rollout

Intelligence gates, chat A/B evaluation, automated tests and production-readiness checks protect releases from silent quality regressions.

Engineering judgment

The decisions behind the build.

Seniority is not the number of technologies in a project. It is the ability to identify failure modes early and choose boundaries that keep the system understandable after launch.

Boundaries beat agent drift

Each agent owns a narrow contract, making routing explainable and failures easier to isolate and evaluate.

Cost is a product constraint

A cost governor and model policies keep higher-capability inference focused on the stages where it changes the result.

Quality needs executable gates

Prompt quality is backed by automated evaluation and rollout checks instead of relying on manual spot checks alone.

Production stack

Chosen for the system.

Next.js 16React 19TypeScriptSupabasePostgreSQLClaude Agent SDKAnthropicOpenAIVitestPlaywrightVercel

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