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© 2026 Back Tier. Jason Todd Wade, Founder.
Get Free AI Audit →Custom AI agent deployment and vibecoded campaign infrastructure. Small teams with the operational capability of large ones. Custom-built tools at a fraction of traditional development cost. The infrastructure advantage — built for you, not sold to you.
An AI agent is an autonomous software system that perceives its environment, makes decisions, and takes actions to achieve a specified goal — without requiring a human to direct each individual step. In political operations, AI agents are the infrastructure layer that makes everything else possible at scale and speed.
The Back Tier agent infrastructure is built on a multi-agent architecture where specialized agents handle specific functions and a coordination layer manages their interaction. The result is a system that can simultaneously monitor the full OSINT stack, process and analyze incoming data, generate content, manage publishing workflows, track performance metrics, and surface alerts — all without human intervention except at the decision and approval points where human judgment is required.
The OSINT collection and processing layer. Runs continuously, monitoring the full source stack and feeding structured intelligence to the analysis layer. Configured with the client's specific intelligence requirements — the targets, issues, and narrative patterns that matter — and surfaces only the signals that meet the relevance threshold. This is what makes the Daily Intelligence Brief possible: it does the collection and processing work overnight so the analyst can focus on interpretation and recommendation.
The analysis and framing layer. Produces narrative assessments and response architecture recommendations from raw intelligence. What story is being told, who is telling it, what is its trajectory, what are the counter-narratives, and what is the optimal framing for the client's position. Trained on political communication theory, persuasion research, and the client's specific messaging framework. Gives the strategist a first draft of the analysis that would otherwise take hours to produce manually.
The generation layer. Generates the full content suite from the narrative assessment — social posts, press statements, talking points, email, SMS. Content: press statements, social media posts, email copy, SMS copy, talking points, op-ed drafts, and AI platform optimization content. Trained on the client's voice, style, and messaging framework. Every piece of content it generates is reviewed and approved by a human operator before deployment. Compresses the time from 'we need to respond' to 'content is ready for approval' from hours to minutes.
The publishing and distribution layer. Deploys content simultaneously across all channels on command. Social media scheduling, email and SMS send queues, press distribution lists, and web publishing workflows — and executes coordinated deployments on command. Tracks deployment status, monitors initial performance metrics, and surfaces alerts when something is underperforming or when a deployment needs adjustment.
The performance and feedback layer. Tracks deployed content performance and feeds data back for continuous improvement. Monitors the narrative response from the opposition and media, and feeds performance data back into the system to improve future deployments. This is what closes the intelligence cycle: it turns the output of the operation back into input for the next operation.
Vibecoding is the practice of building functional software applications through natural language prompts to AI systems — describing what you want in plain English and having AI agents generate the code, the database schema, the user interface, and the deployment infrastructure.
In political operations, vibecoding eliminates the traditional advantage of well-funded campaigns over resource-constrained ones. A campaign with a $50 million budget and a 20-person engineering team can build custom voter contact tools, donation processing systems, and data analytics dashboards. A campaign with a $500,000 budget historically could not. Vibecoding changes that equation entirely.
Custom mobile apps for canvassing, phone banking, and text banking — built to the campaign's specific workflow and data model. Integrated with the voter file, CRM, and analytics dashboard. Deployed in days, not months.
Custom donation pages, recurring giving programs, and donor management dashboards built to the campaign's brand and optimized for conversion. A/B tested continuously through AI-assisted optimization.
Custom volunteer management for recruitment, scheduling, training, communication, and performance tracking. Integrated with the campaign's communication infrastructure and the voter contact tools.
Custom CMS for the rapid reaction team — publish press statements, social media content, and web updates simultaneously across all channels with a single approval action.
Custom dashboards surfacing OSINT intelligence, deployment performance metrics, structure, and voter contact data from the field operation — all in a single interface designed for the campaign manager.
Custom tools for monitoring the campaign's presence in AI-generated answers across ChatGPT, Perplexity, Gemini, Claude, Grok, and Copilot — built on Back Tier's proprietary AI visibility methodology.
The right built its information warfare infrastructure on Facebook micro-targeting. That era is over. The new information war is being fought inside AI-generated answers, inside the recommendation layers of every major AI system, inside the rapid-cycle narrative environment where a story lives or dies in four hours.
The right has a head start in data infrastructure and micro-targeting. It does not have a head start in AI visibility, AI agent deployment, or vibecoded campaign infrastructure — because those capabilities are new enough that no one has a significant head start. The progressive side has the opportunity to build the AI-native political infrastructure first.
Back Tier is the organization positioned to build that infrastructure. The agent stack, the vibecoding capability, and the AI visibility methodology are all operational today. The question is which campaigns and organizations move first.
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We audit your brand's current citation rate across ChatGPT, Perplexity, Gemini, and Claude. You get a prioritized gap analysis and a 90-day implementation roadmap — delivered in 48 hours, no obligation. Most clients start implementation the same week.
We check your brand across 7 AI engines, identify every citation gap, and deliver a prioritized implementation plan. You'll know exactly where you stand and what it costs to fix it.