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PRODUCTION BLUEPRINTS

AI Workflows & Agentic Architecture Directory

Step-by-step guides, automation pipelines, and production blueprints for building multi-agent systems, RAG pipelines, and enterprise AI workflows.

Deep Dive LLMs

Cloudflare Gives Agents a Wallet: x402 & Identity-Aware Gateway

Cloudflare's Agents Week in August 2026 shipped 20+ launches that give AI agents the two things they need to be trusted with real work: money and identity. Cloudflare Wallets and cloudflare.pay (handle reservation on August 4, 2026, full banking later) let agents buy within human-set limits via the x402 machine-to-machine payment protocol, while the Identity-Aware AI Gateway went GA on August 5, 2026 to attach verified identity to every outbound AI request. DeepSeek V4 Flash/Pro 0813 also landed on Workers AI on August 15, 2026 with a 1,048,576-token context window.

Deepak Bagada Deepak Bagada
9m read
Deep Dive Coding

Codex Multi-Agents v2: Sol Delegates Grunt Work to Cheaper Luna

OpenAI shipped cross-model delegation in Codex on August 15, 2026, announced by Eric Provencher on X: an orchestrator agent named Sol can now delegate narrowly-defined tasks to Luna, the fastest and lowest-cost model in the GPT-5.6 family. Luna is a pure sub agent — it cannot message or spawn other agents — and routing still requires prompting, with same-model delegation as the default. Provencher advises capping sub-agent counts around 6-8, a lesson underscored by July 22, 2026 GitHub issues where Luna was rejected as an unknown model and spawn-schema changes broke workflows.

Deepak Bagada Deepak Bagada
8m read
Deep Dive AI Workflows

Build a Capability-Tier Workflow with Cross-Model Subagents

OpenAI shipped cross-model delegation in Codex Multi Agents v2 (Aug 15, 2026): GPT-5.6 Sol orchestrates while delegating narrow tasks to cheaper GPT-5.6 Luna pure subagents that cannot spawn more agents, with guidance (Provencher) capping fan-out at 6-8 subagents. This dispatch builds modelrouter, a LangGraph workflow implementing capability-tier routing: an orchestrator decomposes a job, routes each task to the cheapest capable tier, enforces a max subagent count, and uses a quality gate to re-escalate failed tasks to a higher tier.

Deepak Bagada Deepak Bagada
10m read
Deep Dive LLMs

Meta Muse Glimmer: The Open 30B Agentic Model for Your Device

Meta Superintelligence Labs released Muse Glimmer on August 10, 2026: an Apache 2.0, 30B-parameter model optimized for always-on local agent workflows that runs on a single consumer GPU on Mac or PC. It targets local agents, function calling, local coding, and LLM-as-judge, with support across llama.cpp, MLX, and ExecuTorch and serving via vLLM and SGLang. This briefing covers the use cases, the local-ecosystem integrations, and the real cost math of local inference versus API calls.

Deepak Bagada Deepak Bagada
8m read
Deep Dive AI Workflows

Build a Machine-Payment Workflow with Human Spend Ceilings

Cloudflare Agents Week (Aug 4-15, 2026) launched Cloudflare Wallets and cloudflare.pay on the x402 protocol so agents can hold verifiable identity and purchase within human-set limits, plus an Identity-Aware AI Gateway (Aug 5, 2026) attaching verified identity to every outbound AI request. This dispatch builds machpay, a LangGraph payment workflow where an agent requests a purchase, the workflow validates the request against a human-set spend ceiling, checks wallet balance, settles via x402 in a single idempotent request, and logs every spend line to an audit ledger with identity attribution.

Deepak Bagada Deepak Bagada
10m read
Deep Dive Coding

Hazmat: Sandboxing AI Coding Agents with Least Privilege

Open-source Hazmat, released on GitHub around August 17, 2026, wraps Claude Code, Codex, OpenCode, and Cursor Agent in a dedicated OS account so coding agents run with least privilege: only the declared project directory is shared and a per-session firewall rule caps network access. This briefing walks the macOS containment flow, the ~5.5% TLA+ formal specification, the demo that proves private keys stay unreadable, and the ROI of OS-account sandboxing versus breach risk.

Deepak Bagada Deepak Bagada
8m read
Deep Dive AI Workflows

Build a Regulated Account-Opening Agent Workflow with Human Approval Gates

Zeplyn's Schwab integration (Aug 12, 2026) showed agentic account opening cuts NIGO by 80% — but regulated account opening needs compliance rails, not just automation. This workflow builds account-open, a LangGraph pipeline that drafts the entire account-opening workflow, runs KYC/AML and eligibility checks, routes every uncertain field to a human approval gate, and writes an immutable audit trail before submission. It is the assisted-automation pattern for regulated finance.

Deepak Bagada Deepak Bagada
11m read
Deep Dive LLMs

SKALE Agent Pit: Paper-Trading Sandboxes for Prediction-Market Agents Before They Touch Real Money

On August 12, 2026, SKALE Labs launched Agent Pit — a paper-trading prediction-market sandbox built on its zero-gas blockchain and modeled on Polymarket's structure, so builders can train and validate AI agents before deploying them to live markets. This briefing covers why prediction markets are the natural proving ground for agent strategy, how paper trading prevents the live-money failure loop, and the validation discipline — benchmark, sandbox, then go live with caps.

Deepak Bagada Deepak Bagada
9m read
Deep Dive AI Workflows

Build an Explainable eDiscovery Fact-Investigation Workflow with Citation Trails

DISCO's Advanced Research GA (Aug 13, 2026) proved agentic eDiscovery can investigate facts autonomously — but legal defensibility demands citations on every finding. This workflow builds fact-finder, a LangGraph pipeline where an investigator agent plans a line of inquiry, runs multi-step searches across a document corpus, assembles findings with per-claim citation trails, and routes the trail through a human review gate before anything is admitted as a conclusion.

Deepak Bagada Deepak Bagada
11m read
Deep Dive LLMs

Chainlink for Agents: The Verified Data, Execution & Cross-Chain Layer for Autonomous Onchain AI Agents

On August 14, 2026, Chainlink unveiled Chainlink for Agents — an infrastructure platform that gives autonomous AI agents verified data, protected execution, and cross-chain settlement via CCIP. The platform answers the three problems every agent economy hits: agents cannot trust scraped web data, cannot pay for services autonomously, and cannot move value across blockchains. This briefing covers the agent-data trust problem, the CCIP settlement layer, and what protected computation means for agent safety.

Deepak Bagada Deepak Bagada
9m read
Deep Dive AI Tools

Build a Polymarket MCP Server for Prediction-Market Agents with Paper-Trading Validation

SKALE's Agent Pit (Aug 12, 2026) established paper trading as the training ground for prediction-market agents. This MCP server — polymarket-mcp — gives agents the same discipline as a tool surface: read markets, order books, and positions in paper mode by default, then graduate to live orders only behind an explicit mode flag with position caps. Built with FastMCP in TypeScript with inputSchema JSON, mcpServers config, and an API-key security guide.

Deepak Bagada Deepak Bagada
11m read
Deep Dive LLMs

Octane's AI Operating System: When Agentic AI Runs the Convenience Store

On August 14, 2026, Octane launched an AI operating system built for convenience-store operators — an AI workforce that goes beyond dashboards to complete work across store operations, with the goal of making stores self-operating. This briefing covers what an AI workforce actually does in a c-store, why retail is the perfect agent proving ground, and the deployment discipline — start with back-office autonomy, keep humans for exceptions.

Deepak Bagada Deepak Bagada
9m read
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