Government contracting insights for teams that bid.
How we decide whether to bid, build a team, keep a proposal compliant, and manage a contract after award. Each guide walks through the method with a worked example and public sources.
Latest
Guides
How to Qualify a Federal Opportunity: Bid/No-Bid
A bid/no-bid decision on a federal opportunity starts with eligibility, fit, evidence, capacity, and timing. A practical method with a worked example.
Updated · 4 min read
Capture Planning and Teaming Roles for Federal Bids
Capture planning for federal bids works when teaming roles are settled first: who owns each requirement, qualification, cost input, and delivery duty.
Updated · 4 min read
Proposal Compliance Matrix: A Review That Works
A proposal compliance matrix traces every instruction and evaluation factor to an owner, response location, evidence, and final review. How to build one.
Updated · 4 min read
Scoping Post-Quantum Cryptography Pursuits
Post-quantum cryptography requirements in federal solicitations ask for inventory and migration planning, not a product. How to scope a credible pursuit.
Updated · 4 min read
Positioning AI and IT Proposals for Federal Buyers
AI and IT proposals for federal buyers win on testable requirements, accountable human review, and attributable experience, not on broad promises about AI.
Updated · 4 min read
Post-Award Contract Management Checklist
A post-award contract management checklist for federal awards: build an obligation register, control change, keep records, and prepare closeout early.
Updated · 3 min read
Qualifying Logistics and Transportation Contracts
Qualifying federal logistics and transportation contracts means matching the buyer's lanes, volumes, and service levels to an operator's real network.
Updated · 3 min read
Earlier articles
AI agent security, from the archive.
Earlier TYR-X articles on AI agent security and oversight. The thinking carries into our AI work today. Check the dates: they describe that period, not our current services.
Amazon’s AI Outage Wasn’t the Problem
Amazon added senior engineer sign-offs after its AI outage. That’s not security. It’s safety performance. The real failure was configuration — and configuration is where the fix has to live.
TYR-X ·
ChatGPT Practiced Law for Months. Nobody Noticed.
A federal court in Chicago is now the place where the AI configuration argument gets made in public. This isn't about a hallucination. It's about drift — and the security model that couldn't see it coming.
TYR-X ·
Your AI Agent Is Learning Everything About Your Business. So Is Everyone Else's.
Managed AI agent platforms promise to handle your operations. What they don't tell you: every decision those agents make trains models that serve your competitors on the same platform. Before you connect your systems, understand what you're really signing up for.
TYR-X ·
Sandboxing Is Not Security: What Perplexity Computer Gets Wrong
Perplexity launched a 19-model AI agent orchestrator with persistent memory and hundreds of integrations. Their security answer is a sandbox. That solves containment. It doesn't solve prevention.
TYR-X ·
Thousands Lost Their Google Accounts This Month. Their AI Agents Were the Reason.
A popular AI agent framework crossed a provider's Terms of Service. Users didn't just lose their AI tools — they lost Gmail, Workspace, Drive, and YouTube. The configuration layer is the security surface nobody's testing.
TYR-X ·
Go deeper
Put the guidance to work.
The bid decision checklist and the sample bid decision brief turn the first guide into a working document. For the services behind the method, see federal contracts and AI consulting.
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