# Differential AI Lab - Complete Content ## About Content **Tagline:** About the Lab **Heading Prefix:** The **Heading Highlight:** Differential **Heading Suffix:** Approach **Paragraphs:** In calculus, the differential is infinitesimal change—the moment where one state becomes another. That's our specialty: finding the critical points where AI delivers real outcomes., Differential is a Lab for the AGI Age. What does it mean to have Intelligence all around? It means great power at your fingertips. Driving heavy machinery is a lot different than digging with a shovel. You can still work in your garden, but no one digs the foundations for a skyscraper by hand., We don’t know what fantastic creations you’ll build. What we can do is help you dream big, safely and reliably. **Quote:** We're in a golden age for Building **Quote Attribution:** Martyn Garcia --- ## Hero Section **Tagline:** Your guide for the AGI Age **Headline1:** Differential **Headline2:** AI Lab --- ## Site Settings ### Differential AI Lab **Email:** contact@difflab.ai **Location:** Denver, CO • Global **Footer Description:** Differential AI Lab is an Applied AI consultancy specializing in organization transformation, AI-native development, compliance, and agentic safety. **Linkedin Url:** https://linkedin.com/company/difflabai **Twitter Url:** https://x.com/difflabai **Github Url:** https://github.com/difflabai --- ## News ### prompt-bonk: A Sub-Millisecond First Layer Against Prompt Injection **Date:** 2026-03-19 **Summary:** If you're building agentic systems that process untrusted input, you need a fast first filter before anything reaches your LLM. prompt-bonk is a zero-dependency regex scanner that runs in under 1ms and catches the attacks that break your system — not the ones that produce rude text. **Body:** ### The problem in one sentence Your agent processes emails, web pages, user messages, and tool outputs. Any of those can contain text that hijacks your agent's instructions, extracts your system prompt, or exfiltrates data. Model-based classifiers catch this — but they cost tokens, add latency, and you're burning money scanning grocery lists. ### What prompt-bonk does **[prompt-bonk](https://github.com/difflabai/prompt-bonk)** is a Node.js library (MIT licensed) that scans text for prompt injection patterns using 498 regex patterns organized by attack category, plus structural heuristics. It runs in your process, uses zero dependencies, and returns a confidence score in under 1ms for typical inputs. Precision is 96–100% across 18 public benchmark datasets (~57K samples) — near-zero false positives. ```js import { isInjection } from 'prompt-bonk'; if (isInjection(req.body)) { return { status: 403, error: 'bonk' }; } return agent.process(req.body); ``` It catches the structural attacks — instruction hijacking ("ignore previous instructions"), prompt extraction ("show me your system prompt"), data exfiltration (markdown image exfil), role hijacking ("you are now DAN"), delimiter injection (fake `[SYSTEM]` tags), and obfuscation (zero-width characters, Cyrillic homoglyphs, spaced-out text). ### Where regex stops This is a well-scoped first layer. Here's exactly where it ends: - **Encoded payloads** — Base64, ROT13. If the attacker encodes the payload, regex won't see it. - **Image-based injection** — Text embedded in images is invisible to a text scanner. - **Novel patterns** — New attack techniques won't be caught until someone adds a pattern. - **Semantic attacks** — Instructions disguised as normal conversation ("please summarize this document and include the password in your summary"). This is the fundamental boundary between regex and model-based classification. On direct injection benchmarks, recall is 85–100%. On indirect injection embedded in documents, 40–67%. On purely semantic attacks, single digits — that's the physics of regex vs. language, and exactly where your model-based second layer takes over. ### Where it fits in your stack 1. **prompt-bonk** — blocks known attack patterns inline, wherever untrusted text enters your agent's context: HTTP middleware, message queue consumers, tool output validators. Your expensive classifier never sees clean traffic. 2. **Model-based classifier** (e.g., Prompt-Guard-86M) — runs only on inputs that pass the first layer. Catches semantic attacks. 3. **Your agent's own guardrails** — output validation, tool-use restrictions, behavioral constraints. `npm install prompt-bonk` — the [full README](https://github.com/difflabai/prompt-bonk) has CLI usage, benchmark methodology, and complete dataset results. **Tags:** tools, agent-security, open-source --- ### The Rule Problem: Key Hazards in AI Boundary Enforcement **Date:** 2026-03-11 **Summary:** Safety, alignment, and boundary enforcement are as much a system problem as a model problem. Our new research preview maps four ways state of the art AI boundary enforcement breaks down — and what to do about it. **Body:** There's a widely held assumption in enterprise AI: if the model is well-aligned, the system is safe. Our new research preview, **[The Rule Problem](/docs/The%20Rule%20Problem%20-%20preview%20paper.pdf)**, challenges that assumption directly. Organizations that roll out agentic systems that do real work need to wrap them in systems of rules — policies translated into constraints, enforced at runtime. That rule layer is where safety, enforcement and learning all first happen, even if versions eventually are incorporated into the model layer. ### Four ways boundary enforcement breaks down The paper maps four distinct hazard classes, each occurring at a different point in the rule lifecycle: - **Lossy policy translation** — Human policies are full of implicit context ("don't share confidential data with external parties" assumes you know what confidential means, who counts as external, which data formats apply). When translated into machine rules, that context evaporates. The rules look correct. They aren't. - **Rule generation pathologies** — Using LLMs to write or audit rules introduces a subtle trap: LLMs optimize for surface coherence, not exhaustive correctness. The obvious cases get covered. The edge cases — exactly where a misbehaving agent will operate — don't. - **Runtime enforcement gaps** — Agentic systems are stateful and concurrent. A rule evaluated at decision time may be stale by the time the action executes. Worse, individually compliant agents can compose into collectively non-compliant behavior. - **Complexity-driven deadlock** — Rule sets grow. A hundred rules has nearly 5,000 pairwise interactions. At that scale, conflicts and cycles are a structural inevitability, not an engineering mistake. Agentic systems hit deadlock silently: the agent just stops making progress. ### Know before you build Yes, you need more than LLM as judge for your business critical agentic systems, determinism is a key feature. As you scale up or push the state of the art in guardrail generation, plan ahead for emergent problems. The paper also outlines a mitigation architecture — neuro-symbolic constraint engines, cryptographic gating, and behavioral proof techniques — with each layer targeting specific failure modes. 👉 **[Read the full research preview](/docs/The%20Rule%20Problem%20-%20preview%20paper.pdf)** (5 pages) or explore our [Boundary Enforcement research program](/research/boundary-enforcement). **Tags:** research, boundary-enforcement, publication --- ### Introducing TuneOut: A Practical Guide to Cognitive Security **Date:** 2026-03-06 **Summary:** DiffLab publishes TuneOut, an open research guide to cognitive security — practical techniques for reclaiming your attention from algorithmic manipulation using AI-powered information filtering. **Body:** We're excited to share **[TuneOut](https://difflabai.github.io/tuneout/)** — DiffLab's first public research output on cognitive security. Social media algorithms run what amounts to prompt injection on your brain. They A/B test billions of users to find the exact content patterns that make you unable to look away. Research shows your attention span has dropped from 2.5 minutes to 47 seconds since 2004, and 31% of social media use is driven by self-control problems rather than genuine desire. TuneOut reframes this as a cybersecurity problem. You wouldn't browse the internet without a firewall. Why give algorithmically-curated feeds root access to your emotional state? ### What's inside - **The Attack** — How algorithms exploit attention, amplify rage, and weaponize empathy - **The Science** — Peer-reviewed research backing every claim - **The Alpha** — Using LLMs as information filters between you and the feed - **The Tools** — Step-by-step blocking guides for every OS TuneOut is part of our broader [AI Bodyguard](/research/ai-bodyguard) research program — building agentic systems that actively protect humans from manipulation. 👉 Read it at [difflabai.github.io/tuneout](https://difflabai.github.io/tuneout/) **Tags:** research, cognitive-security, tuneout --- ## Terrain Hotspots ### AI Transformation **Subtitle:** Strategic Integration **Description:** Adapt a whole company to AI Acceleration? It's hard. We know because we've run years of training programs. Unlock the power of your people with our transformative small group classes and materials. **Color:** #f59e0b **Section Id:** organization-ai-transformation **Position:** [-4, 2.2, -3] **Camera Position:** [-6, 2, 0] **Look At:** [-4, -0.7, -3] --- ### AI Native Processes **Subtitle:** The new wave **Description:** Software engineering is changing massively. Get your AI Software Factory running, seamlessly weaving in the deep experience of your staff. **Color:** #f59e0b **Section Id:** ai-native-software-development **Position:** [5, 1.5, 5] **Camera Position:** [7, 1.5, 6] **Look At:** [-4, -0.7, -3] --- ### AI Compliance **Subtitle:** Navigate Regulation **Description:** Prove your AI compliance. Instead of worrying about regulations, turn evidence collection into a strength and broadcast your compliance to customers and partners. We automate systems to fulfill AIUC-1 Compliance and industry-specific requirements. **Color:** #f59e0b **Section Id:** ai-compliance **Position:** [-3, 1.8, 4] **Camera Position:** [-5, 1, 7] **Look At:** [-3, -1.1, 4] --- ### Boundary Enforcement **Subtitle:** Control & Safety **Description:** We stack our neuro-symbolic engine, formal verification techniques, and dynamic behavioral controls with cryptographic locks. It's cutting edge control that drives next level safety and alignment. **Color:** #f59e0b **Section Id:** agentic-boundary-enforcement **Position:** [3, 3, -4] **Camera Position:** [5, 3, -1] **Look At:** [3, 0, -4] --- ## Services ### Organization AI Transformation **Subtitle:** Strategic Integration **Description:** Exciting but scary, that's a fair assessment. Even people who enjoy change can have days that feel overwhelming. Over the past three years hundreds of professionals have gone through our in-person training programs. We focus on mindset and collaboration to help people take control and gain real benefits. **Capabilities:** AI Readiness Assessment, Change Management, ROI Modeling, Talent Development --- ### AI Native Engineering **Subtitle:** Build Different **Description:** Cursor, Cline, CoPilot? Now Claude, Conductor, Codex! Is that steam coming from our software factory or smoke from the IaC? It's all evolving fast. We can help you adopt feedback loops to get real benefits and evaluation criteria to filter noise and empower your team. **Capabilities:** LLM Application Architecture, Agent Systems, ML Infrastructure, Prompt Engineering --- ### AI Compliance **Subtitle:** Navigate Regulation **Description:** Need to prove human in the loop or other agentic boundaries? Auditors asking questions your team can't answer? We can help you automatically collect evidence of controls to provide real-time proof of compliance. Push the certification to our registry to help your customers do the same. **Capabilities:** Regulatory Mapping, Risk Assessment, Audit Preparation, Policy Development --- ### Agentic Boundary Enforcement **Subtitle:** Control & Safety **Description:** Agents sending emails you didn't authorize? Hammering your production systems with API calls? Accessing customer data outside their scope? We implement cryptographic gating, customized behavioral constraints, and system control techniques that let agents work autonomously—within boundaries you define and enforce. **Capabilities:** Guardrail Design, Runtime Monitoring, Intervention Systems, Safety Testing --- ## Team Members ### Lee Gonzales **Role:** Founder **Bio:** Leader in organizational AI transformation with over two decades of engineering and executive team experience. Expertise in building the mindsets, skillsets, and toolsets organizations need to thrive in the AI age. **Expertise:** AI Transformation, Executive Alignment, Change Management **Linkedin:** https://www.linkedin.com/in/leegonzales/ --- ### Gabe Hamilton **Role:** Founder **Bio:** Technology executive with multiple decades of experience designing products, teams, and companies. Expertise includes confidential AI systems, healthcare workflow platforms, and engineering leadership across multiple ventures. **Expertise:** AI Trust & Safety, Healthcare AI, Engineering Leadership **Linkedin:** https://www.linkedin.com/in/gabe-hamilton-technology/ --- ### Martyn Garcia **Role:** Founder **Bio:** AI-first engineer with expertise spanning full stack development, machine learning, and blockchain technologies. Background in bringing emerging technology to underserved markets and managing products from ideation to scale. **Expertise:** AI Engineering, Blockchain, Full Stack Development **Linkedin:** https://www.linkedin.com/in/martyngarcia/ --- ### Mikkel Garcia **Role:** Founder **Bio:** Software engineer and entrepreneur with over a decade of experience building AI-powered products and custom software solutions. Background spans machine learning systems, healthcare AI infrastructure, and high transaction volume applications. **Expertise:** AI Development, Product Development, Custom Software **Linkedin:** https://www.linkedin.com/in/mikkelg/ --- ## Case Studies ### The Future Now: 15 Years Building at the Frontier of AI **Category:** AI Transformation **Client:** Multiple **Consulting Area:** ai-transformation **Description:** From distributed face recognition networks in 2010 to personal assistant AI and long-goal agents in 2025, Differential AI Lab staff have consistently shipped production AI systems years ahead of mainstream adoption — across computer vision, NLP, generative models, RAG, and autonomous agents. **Outcomes:** 2010: Distributed face recognition networks, 2016: Chatbots for patient healthcare navigation, 2018: HyperGAN research platform, 2019: Production RAG system in a highly regulated environment, 2023: Dimensional LoRA framework, 2024: Multiple agent platforms and agentic purchasing, 2025: Personal assistant AI and long-goal agents **Tags:** AI Pioneering, Computer Vision, Generative AI, Agents **Date:** 2025 --- ### The Differential Method: AI Fluency That Compounds **Category:** AI Transformation **Client:** Differential AI **Consulting Area:** ai-transformation **Description:** The Differential Method moves through three phases — Mindset, Skillset, Toolset — in that order, every time. Small cohorts of 8-15 people. Hands-on from minute one. Participants' own work as input, durable artifacts as output. The market is full of AI training that teaches concepts. This methodology changes behavior. **Outcomes:** Over 600 participants trained over dozens of cohorts, proving the methodology across enterprises, Three-phase arc (Mindset → Skillset → Toolset) that starts where tool training can't — the space between 'I'm afraid this replaces me' and 'I don't know where to begin', 9-artifact AI Fluency Portfolio built on each participant's real work: prompt libraries, workflows, tool stacks, ethics frameworks, and 90-day plans, Measurable mindset shift tracked with before-and-after diagnostics — participants move from 'AI is happening to me' to 'I decide how AI fits into my work', Full program pathway from AI Foundations through five specialized Intensives to a Train-the-Trainer program that turns graduates into facilitators for their own organizations **Tags:** AI Fluency, The Differential Method, Cohort Learning, Human-Centered AI **Date:** 2026 --- ### Agent Action Gating: Cryptographic Boundaries for AI Cloud Purchasing **Category:** Boundary Enforcement **Client:** Internal R&D **Consulting Area:** boundary-enforcement-consulting **Description:** Our PolicyGate smart contract written in Rust for NEAR Protocol enforces hard boundaries on AI agents purchasing cloud infrastructure. Every agent action must pass budget certification and goal certification before execution, providing cryptographically verifiable proof that autonomous spending stays within authorized limits. **Outcomes:** Rust-based PolicyGate contract using NEAR Protocol, Budget certification gate blocks unauthorized spend before execution, Goal certification ensures purchases align with approved objectives, Cryptographic on-chain audit trail for every agent action **Tags:** Boundary Enforcement, Rust, NEAR Protocol, Agentic Purchasing **Date:** 2025 --- ### Financial AI Guardrail Architecture **Category:** Boundary Enforcement **Client:** Investment Platform **Consulting Area:** boundary-enforcement-consulting **Description:** Designed and deployed cryptographic gating mechanisms for an AI-powered trading platform, preventing unauthorized actions and ensuring regulatory compliance. **Outcomes:** Cryptographic constraint verification, Real-time boundary monitoring, Full audit trail compliance **Tags:** Finance, Cryptographic Gating, Compliance **Date:** 2024 --- ## Publications ### Boundary Enforcement Multi Agent **Venue:** NeurIPS 2024 Workshop **Type:** Paper --- ### Practical Guardrails Enterprise Llm **Venue:** AI Engineering Conference **Type:** Talk --- ### Compliance Landscape Framework **Venue:** Journal of AI Ethics **Type:** Paper --- ## About Principles ### Navigate Complexity **Description:** Mindset, Skillset, Toolset—600+ people trained across dozens of cohorts. --- ### Precision Engineering **Description:** Cryptographic gating, neuro-symbolic constraints, and formal verification. --- ## About Stats ### Ai Implementations **Value:** 50+ --- ### Research Papers **Value:** 12 --- ### Client Retention **Value:** 99% --- ## Research Areas ### Models **Subtitle:** Foundation Architecture **Description:** Research into human-centric AI architectures, from embedding models that capture population-level needs to adversarial frameworks for exploring complex system dynamics. --- ### Security **Subtitle:** Defense & Protection **Description:** Protecting critical data & IP, and grandmothers. --- ### AI Trust **Subtitle:** Verification & Assurance **Description:** Multi-layered approaches combining boundary enforcement, value alignment, and compliance verification to ensure AI systems operate within defined constraints and regulatory frameworks. --- ## Research Projects ### 10B Model: People Not Parameters **Area:** models **Subtitle:** Modeling Needs **Description:** What does everyone in the world need? That's the goal of our 10B model, an embedding model for human needs. **Full Description:** Our research combines a top down approach: countries, cities, datasets; and a bottom up simulation strategy: human behavior and online activity. Where they meet is an embedding model that captures the human needs of a population. The supervised trajectory aims to predict hold out datasets of sociodemographic characteristics. The unsupervised component will then seek to reveal the hidden dynamics of the macro space. Over time we are aiming for a system that will be of use to people's personal agents as they strive to build community and navigate the AI economic transition. People who are asking, "How can I connect with my neighbors?", "What economic value can I bring to my community?", or "How can I effectively advocate for change?" **Status:** Active --- ### AI Bodyguard **Area:** security **Subtitle:** Agentic protection for the AI threat landscape **Description:** Scams, phishing, and cybersecurity attacks are now AI-powered — and getting harder to detect. AI Bodyguard is our research into agentic protection frameworks that defend people and organizations against adversarial manipulation, from algorithmic attention hijacking to AI-generated fraud. **Full Description:** ## The Threat Has Changed The attack surface for individuals and organizations has exploded. AI-generated phishing emails are nearly indistinguishable from real ones. Voice cloning enables real-time impersonation scams. Deepfakes power social engineering at scale. And social media algorithms — optimized purely for engagement — run what amounts to prompt injection on your brain. These aren't hypothetical future threats. They're happening now, and traditional defenses weren't built for them. AI Bodyguard is DiffLab's research program into **agentic systems that actively protect humans** — from everyday scams to sophisticated cognitive manipulation. ## What We're Building ### Cognitive Security Social media algorithms A/B test billions of users to find content patterns that hijack your attention. Research shows attention spans have dropped from 2.5 minutes to 47 seconds since 2004, and 31% of social media use is driven by self-control problems rather than genuine desire. Our first published work in this space is **[TuneOut](https://difflabai.github.io/tuneout/)** — a practical open guide to reclaiming your attention from algorithmic manipulation using AI-powered information filtering. TuneOut walks you through the attack vectors (rage amplification, empathy exploitation, variable reward loops) and shows you how to set up LLM-based filters and surgical feed-blocking tools. 👉 **Read TuneOut: [difflabai.github.io/tuneout](https://difflabai.github.io/tuneout/)** ### AI-Powered Scam & Phishing Defense AI has supercharged the offense. Phishing campaigns now use LLMs to craft personalized, context-aware messages that bypass traditional spam filters. Voice cloning turns a 10-second audio clip into a convincing impersonation. We're researching agentic systems that can detect and intercept these attacks in real-time — analyzing communication patterns, flagging anomalies, and providing active defense before damage is done. ### Adversarial Input Filtering As AI agents become embedded in daily workflows, they become attack vectors themselves. Prompt injection, data poisoning, and adversarial inputs can turn your own AI tools against you. We're building detection and filtering layers that sit between users and AI systems, catching manipulation attempts before they execute. ### Behavioral Monitoring & Anomaly Detection Whether it's a compromised account, an AI-generated deepfake, or a social engineering campaign, the signal is often in behavioral patterns. Our research focuses on lightweight, privacy-preserving monitoring that can flag when something doesn't look right — without requiring surveillance. ## The Vision The common thread across all of this work: **use AI to defend against AI**. As offensive capabilities accelerate, purely human-driven defense can't keep up. AI Bodyguard is about building agentic protection systems that work for you — detecting threats, filtering manipulation, and responding to attacks at machine speed while keeping humans in control. **Highlights:** TuneOut: open guide to cognitive security, AI-powered scam and phishing detection, Adversarial input filtering for AI agents, Behavioral anomaly detection, Real-time automated incident response, Privacy-preserving protection **Status:** Active --- ### Generative Adversarial Networks **Area:** models **Subtitle:** Ecosystem Dynamics **Description:** Advanced GAN architectures for exploring adversarial problem spaces. **Full Description:** We have been working with GANs for almost a decade, work that includes our well established HyperGAN research platform. Many complex systems feature adversarial dynamics, and GANs are a natural fit for exploring these systems. **Highlights:** Stable training dynamics, Controllable generation, High-fidelity synthesis, Privacy-preserving data augmentation **Status:** Active --- ### The Secure Organization **Area:** security **Subtitle:** Enterprise AI Security **Description:** The current threat environment is intense: state actors, AI powered offense, and a target rich ecosystem. **Full Description:** How does an organization do cutting edge AI research without it being co-opted or stolen? How does it share this research with its customers and partners and safely run against their data? These are obviously key questions for us at Differential AI Lab and ones we take seriously. We are building bottom-up security, deciding when enclaves and confidential inference are necessary components or when they are destabilizing factors. As we build, we'll share our experiences and architectures to help you build securely too. **Highlights:** Verifiable systems, Enclaves and confidential inference, Secure data sharing, Agentic collaboration **Status:** Active --- ### Boundary Enforcement **Area:** ai-trust **Subtitle:** Hard and Fast **Description:** Multi-layered approaches to ensuring AI systems operate within defined boundaries, combining neuro-symbolic engines, cryptographic gating, and behavioral proof techniques. **Full Description:** Boundary Enforcement is our flagship research into constraining AI behavior. We combine multiple complementary techniques to create robust guardrails that prevent AI systems from exceeding their intended operational boundaries. Key technical approaches include: - Neuro-symbolic engines that combine neural flexibility with symbolic precision - Cryptographic gating mechanisms that mathematically enforce access controls - Behavioral proof techniques that provide formal guarantees about system behavior ### Research Preview **[The Rule Problem: Key Hazards in AI Boundary Enforcement](/docs/The%20Rule%20Problem%20-%20preview%20paper.pdf)** — Our latest research preview identifies four classes of hazards across the rule lifecycle (lossy policy translation, rule generation pathologies, runtime enforcement gaps, and complexity-driven deadlock) and maps them to complementary mitigation strategies. **Highlights:** Neuro-symbolic engine integration, Cryptographic gating mechanisms, Behavioral proof techniques, Formal verification methods **Status:** Active --- ### Compliance **Area:** ai-trust **Subtitle:** Regulatory Alignment **Description:** Research into automated compliance verification and regulatory alignment for AI systems operating under evolving governance frameworks. **Full Description:** Our compliance research develops tools and methodologies for ensuring AI systems meet regulatory requirements across jurisdictions. We focus on creating automated verification systems that can adapt to evolving standards. **Highlights:** Automated compliance checking, Regulatory mapping frameworks, Audit trail generation, Cross-jurisdictional alignment **Status:** Active --- ### Alignment **Area:** ai-trust **Subtitle:** Value Alignment **Description:** When boundaries collide, now you're dealing with alignment. **Full Description:** Building off of our research in Boundary Enforcement, our alignment research deals with conflicting agent guidance. Honestly, it's all still experimental. If we figure it out, you can be sure that our agents will let you know. Working in this area? We'd be happy to align our alignment alignment. More seriously, if you're a company seeing conflicts between your agentic systems, we may be able to help. If you're willing to experiment, the next logical step with our compositional boundary enforcement mechanisms is a higher level coordination layer. **Highlights:** Value specification methods, Alignment verification, Objective robustness, Preference learning **Status:** Active --- ## Consulting Areas ### AI Transformation **Subtitle:** Strategy & Implementation **Description:** End-to-end AI transformation services helping organizations develop strategy, build capabilities, and establish AI software factories for sustainable innovation. **Services:** Strategy development and roadmapping, Executive and team training programs, AI software factory establishment, Change management and adoption **Research Foundation:** models, security --- ### Boundary Enforcement **Subtitle:** Control & Safety **Description:** Implementation of robust guardrails and safety measures for AI systems, leveraging our research in neuro-symbolic engines, cryptographic gating, and behavioral proof techniques. **Services:** Safety architecture design, Guardrail implementation, Behavioral constraint systems, Compliance verification **Research Foundation:** ai-trust, security --- ## Products ### DreamSolve **Subtitle:** Human centered AI Workspace **Tagline:** Manage projects with multi-agent workstreams **Description:** Scope your project, attach documents with context, assign agents, then manage with metrics and hierarchical guidance. **Full Description:** DreamSolve is our research platform for large-scale, many agent collaboration. It's a collaborative workspace for AI projects with multi-agent workstreams. Define your desired behavior and evaluation criteria then structure the work in detail or hand off to agents to breakdown the tasks. Connect context documents and github repos. Review for AI Suitability then assign pertinent agents and workflows. As complexity grows and agents create deeply nested tasks, monitor metrics, set boundaries, and redirect whole areas through hierarchical guidance. **Features:** Multi-agent collaboration, Contextualization, Metrics and boundaries, Hierarchical guidance **Research Foundation:** boundary-enforcement, ai-native-software-development **Url:** https://dreamsolve.ai **Invite Form:** https://docs.google.com/forms/d/e/1FAIpQLSf9QerDBS7s074hZyjkN5objw1COzAAp--ochIMqF6x8GdhMg/viewform --- ### GetAICEO **Subtitle:** AI Teams **Tagline:** An AI executive that lives where your team already works **Description:** Built on OpenClaw, GetAICEO is an AI executive that operates natively in Slack, email, and your task tracker. It doesn't wait for you to open another app — it shows up where your team already is, with daily pings, prioritized work, and strategic context. **Full Description:** GetAICEO is powered by OpenClaw — the platform that lets AI agents live inside your existing workflows instead of sitting behind yet another dashboard. Your team @mentions the CEO in Slack to get prioritized tasks. It reads your emails. It tracks work across your projects. It sends daily pings to keep everyone aligned. OpenClaw makes all of this possible by giving the AI agent native presence in the tools your org already uses — Slack, email, task trackers — so adoption happens naturally, not through change management. The result: an AI executive that actually gets used, because it meets people where they are. **Features:** Lives in Slack — team members @ceo to get prioritized work, Reads and responds to org email, Integrated task tracking with daily pings, Powered by OpenClaw for native tool presence **Research Foundation:** security, boundary-enforcement **Url:** https://getaiceo.com --- ## Training Programs ### AI Foundations **Subtitle:** 4-Session Transformation Program **Description:** 4-session program that takes your team from AI-curious to AI-competent. Mindset, Skillset, Toolset — built on your real work, not toy problems. Run as a private cohort for your organization. **Full Description:** A structured 4-session program following the Mindset → Skillset → Toolset arc. Each participant builds a 9-artifact portfolio on their real work. Sessions are scheduled to fit your team — weekly or biweekly, all delivered live online. Up to 20 participants per cohort, additional cohorts at $17,500 each. **Features:** Session 1: AI Readiness & Roadmap — Capability mapping, team diagnostic, psychological safety, use-case prioritization, 6-week team roadmap, Session 2: Prompting for Professionals — RCCE framework, chain-of-thought, prompt library, Session 3: AI-Augmented Workflows — Multi-turn workflows on real deliverables, quality checklist, Session 4: Tool Selection + Roadmap Forward — Decision matrix, workflow redesign, 90-day plan, 9-artifact portfolio built on your real work **Tier:** Department **Pricing:** From $20,000/cohort **Duration:** 4 sessions x 2 hours **Group Size:** Up to 20 participants --- ### AI Intensives **Subtitle:** 2-Day Hands-On Workshops **Description:** 2-day hands-on workshops for teams of up to 15. Your people build real AI systems with Claude — walk out with working tools, not theory. Choose one or run all three as a progression. **Full Description:** Each Intensive is a 2-day immersive workshop where your team builds real AI systems, not slide decks. Customized to your industry, your tools, and your workflows. Choose from three tracks — Skills & Projects, Cowork, or Code — or run all three as a progression that takes your team from AI-capable to AI-native. **Features:** Claude Skills & Projects — $15,000/cohort (up to 15) — 2 days (2 hrs/day) + 1 hr office hours mid-week. Build custom AI systems, Skills, and Projects with shared knowledge bases, Claude Cowork — $15,000/cohort (up to 15) — 2 days (2 hrs/day) + 1 hr office hours mid-week. Move from chatting with AI to managing concurrent AI workers using DOVE briefing patterns, Claude Code — $20,000/cohort (up to 12) — 2 days (4 hrs/day) + 1 hr office hours mid-week. For engineering teams: CLI setup, CLAUDE.md, slash commands, MCP servers, multi-agent workflows **Tier:** Team **Pricing:** From $15,000/cohort **Duration:** 2 days + office hours **Group Size:** Up to 15 participants --- ### Enterprise Programs **Subtitle:** Custom Training + Consulting **Description:** Consulting + training hybrid for organizations with specific AI transformation goals. Needs assessment, custom curriculum, executive coaching, and org-wide rollout. Bundle pricing saves 20-25% vs a la carte. **Full Description:** Three tiers designed to scale with your organization. Each includes a pre-engagement needs assessment, custom curriculum integration, and post-engagement support. Bundle pricing saves 20-25% compared to purchasing programs individually. **Features:** Team Intensive Package — $40,000 — All 3 Intensive workshops (6 days), needs assessment, readiness report, 30 days async support, Department Transformation — $60,000 — Foundations cohort + 3 Intensives + executive briefing + 90-day support (up to 35 participants), Organization Program — $100,000+ — Multiple cohorts, all Intensives, executive coaching, AI strategy, change management, dedicated PM, Discovery call → Needs assessment → Custom proposal → Deliver and measure **Tier:** Organization **Pricing:** From $40,000 **Duration:** Scoped to your organization **Group Size:** Scoped to your needs