Top 10 AI Prompts and Use Cases and in the Government Industry in Fort Worth

Fort Worth agencies can turn conversational AI prompts into practical savings and faster decision‑making: prompts that pull open federal opportunities or analyze policy shifts help procurement teams prioritize bids and anticipate spending patterns, a capability highlighted in NASPO's discussion of AI in procurement (NASPO report on AI in procurement).

Local supply‑chain leaders are already framing that shift - ISM - Fort Worth's calendar and an upcoming webinar on digital transformation show a citywide push to use AI for resilience and real‑time sourcing (ISM Fort Worth digital transformation webinar and events).

Simple, targeted prompts can also detect operational wins - like the MyH2O smart‑meter example that reduced billing disputes - and staff can learn to write those prompts through focused training such as Nucamp's 15‑week AI Essentials for Work bootcamp (Register for the AI Essentials for Work bootcamp), closing the gap between strategy and measurable outcomes.

Bootcamp	Length	Early Bird Cost	Registration
AI Essentials for Work	15 Weeks	$3,582	Register for AI Essentials for Work (15 Weeks)
Solo AI Tech Entrepreneur	30 Weeks	$4,776	Register for Solo AI Tech Entrepreneur (30 Weeks)
Cybersecurity Fundamentals	15 Weeks	$2,124	Register for Cybersecurity Fundamentals (15 Weeks)

Methodology: prompts were engineered from the ground up to mirror how procurement teams find and prioritize opportunities in Texas - ingesting federal, state, and local records, applying place‑of‑performance and NAICS filters, and using retrieval‑augmented generation (RAG) to surface context‑rich snippets for Fort Worth‑specific action.

Data sourcing and normalization follow the same approach used by market‑intelligence platforms that aggregate SAM.gov and agency feeds; searches and saved alerts emulate GovTribe's pipeline and filtering model so prompts return only relevant solicitations, incumbents, and award histories for local planners (GovTribe opportunity and pipeline tools for government contract searches).

Prompts were iterated against semantic search outputs and the AI Insights architecture described by Elastic - combining Elasticsearch vectors with LLM prompting - to prioritize timely leads and spot fiscal‑year‑end spending patterns that often create near‑term bid windows for municipal vendors (GovTribe and Elastic AI Insights case study for government AI).

Benchmarking used third‑party reviews of search tools to confirm coverage and filtering behavior across federal and SLED sources (top government contract opportunity search tools comparison); the result is a tested set of prompts that produce immediately actionable lists, teammate recommendations, and stakeholder contacts for Fort Worth agencies and local contractors.

"The integration of AI-backed capabilities is no longer optional. It's a fundamental requirement for remaining competitive and offering effective, timely solutions to our customers. Elasticsearch - and its vector database - plays a critical role in this delivery." - Nate Nash

A single, well‑crafted prompt - for example:

Find open federal contract opportunities for [specific service or product] within Fort Worth, TX; return solicitation number, NAICS, place‑of‑performance, incumbent, set‑aside status, key contact, and recent award history

- turns broad feeds into prioritized, actionable leads for local teams; it will surface current presolicitations such as the F‑35 Follow‑on Modernization Block 5 notice listing Fort Worth as the location and a named subcontracting contact (Sean Lightcap, 817‑584‑1276) so municipal vendors can immediately pursue teaming conversations (F‑35 Block 5 presolicitation Fort Worth listing), and it matches against recent award data - e.g., Defense Department contract listings that include Lockheed Martin Aeronautics orders with substantial Fort Worth performance - to validate incumbents and likely bid windows (DoD contract awards - April 30, 2025 - Lockheed Martin Fort Worth performance).

So what: one targeted AI prompt can replace hours of SAM.gov and agency‑feed monitoring with a ranked list of solicitations plus the exact contact for teaming, turning opportunity discovery into an immediate outreach plan.

Opportunity	Agency/Prime	Location	Note
F‑35 Follow on Modernization Block 5 (Presolicitation)	Lockheed Martin Aeronautics	Fort Worth, TX	Presolicitation; subcontracting contact: Sean Lightcap, 817‑584‑1276
F‑35 software activation order	Lockheed Martin Aeronautics	Fort Worth, TX	$7,768,648 order; ~80% work performed in Fort Worth (DoD awards)
C‑5 electro‑mechanical actuators (IDIQ)	Thomas Instrument Inc.	Texas	Estimated $18,363,356; DLA‑managed production contract

A prompt like “List federal grant opportunities for [specific research or project area] in Texas - return program name, eligibility (rural/urban), funding range, matching requirements, NOFO deadlines, and application link” turns sprawling feeds into a prioritized pipeline for Fort Worth teams: use Grants.gov's search and Assistance Listings to pull current NOFOs and program rules (Grants.gov grant programs and Assistance Listings - federal funding search), then filter for programs that apply to cities and counties (for example, HUD's Community Development Block Grant formula awards to states, cities, and counties) so municipal projects surface first (HUD Community Development Block Grant (CDBG) Program - community development funding for cities and counties).

The same prompt can flag rural-targeted opportunities (to avoid wasting time on ineligible RCDI notices) and surface immediate deadlines and match rules - for instance, the USDA Rural Community Development Initiative posts an electronic NOFO deadline of Aug 7, 2025 and requires matching funds equal to the grant amount - letting Fort Worth prioritize NOFOs that the city or its nonprofit partners can realistically staff and finance (USDA Rural Community Development Initiative (RCDI) grants - application window and eligibility).

So what: this single prompt reduces hours of manual filtering to a ranked list of fundable opportunities with the exact deadline and match risk that informs whether to bid or partner.

Program / Resource	Key detail
Grants.gov	Central search for federal NOFOs and Assistance Listings (search, filter, apply)
HUD CDBG	Formula grants to states, cities, and counties for community development
USDA RCDI	Electronic NOFO deadline: Aug 7, 2025; matching funds required equal to grant

Prompt engineers should build a query that scans the SBA and GSA subcontracting resources for Texas NAICS codes and Fort Worth place‑of‑performance, returning primes that are legally required to maintain small‑business subcontracting plans, their submitted subcontracting reports, UEI, prevalent NAICS, and contact points - for example, GSA Subcontracting Directory and SubNet guidance let searches filter by NAICS, city/state, and show the prime's reported goals and past subcontracting performance so teams can qualify matches quickly (GSA Subcontracting Directory and SubNet guidance).

Pair that with the SBA directory of primes with subcontracting plans to capture contract PIIDs, performance state, and award value, and then surface the prime's Small Business Liaison Officer from NAVFAC or agency lists to enable direct outreach (SBA directory of federal prime contractors with subcontracting plans, NAVFAC subcontracting opportunities and SBLO contacts).

So what: a single AI prompt that returns primes with active subcontracting plans plus the SBLO contact turns weeks of manual research into a targeted outreach list - critical when NAS Fort Worth JRB's $1.3B regional impact and ~11,300 personnel drive sustained demand for local suppliers.

Resource	What to extract
GSA Subcontracting / SubNet	Primes with subcontracting plans, UEI, NAICS, location, reports
SBA Prime Contractors Directory	Contract PIID, NAICS, performance state, award value
NAVFAC / Agency SBLO lists	Assigned SBLO / POC for direct subcontractor inquiries

A year‑end targeting prompt - e.g., “Find contract opportunities in my field related to year‑end spending in Fort Worth; return closing date, solicitation number, Bonfire portal link, addenda, set‑aside/HUB status, and awarding history” - lets teams zero in on the exact solicitations that require fast responses and likely carry carryover budget spend; the City of Fort Worth posts all solicitations on its Bonfire portal (solicitations after Jan 1, 2024 must be submitted there and vendors are responsible for reviewing addenda) so an automated alert that scrapes Bonfire closing‑soon items plus recent addenda and bid‑opening audio saves hours of manual checks (City of Fort Worth Bonfire Current Bids and Requests).

Pairing that with county procurement summaries reveals scale: Tarrant County publicly posted ~191 opportunities in FY2024 and awarded $1,605,994,602.37 in contracts - meaning a single flagged Q4 solicitation can represent a meaningful share of local annual awards, so the prompt's “closing within 30 days + set‑aside” filter can convert a scramble into a prioritized, win‑focused outreach plan (Tarrant County Contracts and Procurement Summary).

Metric (Tarrant County FY2024)	Value
Posted bidding & contracting opportunities	~191
Awards made	174
Total awarded in contracts	$1,605,994,602.37
Procurement & contracting expenditures	$115,911,458.28

A prompt such as “Find vendors similar to [specific company] filtered for Texas/Fort Worth - return peer companies, core capabilities, typical project types, and known planholder/contact records” converts a broad competitive scan into an actionable shortlist: CB Insights' Vendor Infra alternatives already surface close peers - Mytek Innovations, SubBase, Wootz.work, Procuracon, Infrakit, Thinkproject, Cooperlink, Renewate, and Cyient - each with distinct strengths in procurement workflows, BIM coordination, sustainability, or engineering services (CB Insights – Vendor Infra alternatives and competitors); pairing those peers with ConstructConnect's market intelligence (825,000+ active commercial projects, 2.7M+ active contact records, and 1.8M+ planholders added annually) lets procurement teams map where similar vendors are already specified and which local projects offer near‑term demand (ConstructConnect suppliers and distributors solutions - market intelligence for construction procurement).

So what: one tailored prompt reduces weeks of vendor research to a ranked list of viable alternates plus the exact project and contact leads needed to start RFIs or supplier demos in Fort Worth.

Vendor	Core focus (per source)
Mytek Innovations	Engineering consultancy; SITC services (AI projects mentioned)
SubBase	Procurement workflow technology for construction
Wootz.work	Cross‑border procurement and sourcing for engineering equipment
Procuracon	Construction procurement platform connecting clients with suppliers
Infrakit	Cloud platform for infrastructure project management and sustainability
Thinkproject	Built‑asset lifecycle management and integrated infrastructure solutions
Cooperlink	Collaborative hub: document management and BIM coordination
Renewate	B2B project management and collaboration software for design/construction
Cyient	Engineering solutions: product, plant, and network engineering

A prompt such as

Identify the predecessor contract for this opportunity - return predecessor PIID, award and end dates, incumbent contractor, clauses (e.g., SCA/52.222‑41), evidence of asset transfer/novation, contracting officer contact, and any submitted seniority/employee lists

turns a vague opportunity into compliance‑critical intelligence: novation is required when contract‑related assets transfer and approval rests with the contracting officer (prepare for a process that can take several months and negotiate interim transition agreements) - see detailed novation requirements and timeline guidance (novation requirements and process guidance for government contract novations); if the work is SCA‑covered the DOL rule now mandates nondisplacement protections and requires a predecessor employee list be provided to the successor (and a 10‑day acceptance window for offers), so the prompt should flag SCA applicability and recordkeeping obligations (DOL SCA successor employee right of first refusal rule and compliance details).

Also surface relevant FAR labor and solicitation clauses (FAR Part 22/Part 15 hooks) and any FOIA/exemption notes on personnel data to avoid inadvertent disclosure; so what: catching a predecessor contract gap early prevents costly delays, preserves incumbent staffing continuity, and ensures regulatory compliance before award or transition.

Field to Extract	Why it matters
Predecessor PIID & dates	Verifies continuity, incumbency, and performance history
SCA / 52.222‑41 presence	Triggers nondisplacement rules and right‑of‑first‑refusal
Novation / asset transfer indicator	Determines need for novation package and CO engagement
Seniority/employee lists & CO contact	Required for successor offers and fast, compliant transition

Contract benchmarking turns an active award into a searchable market yardstick: craft a prompt that pulls predecessor PIIDs, comparable scopes, normalized price metrics, and a peer‑sample so Fort Worth teams can test whether an incumbent's rate aligns with market practice or masks scope drift - Thomson Reuters stresses key mechanics like appointing an independent benchmarker, selecting a peer group (commonly a minimum of four comparators), agreeing a benchmark target, and normalizing for volumes, service levels, and financing costs (Benchmarking terms in outsourcing - Thomson Reuters).

Pair that with an experienced benchmarking partner that applies a repeatable methodology to compare scope, SLAs, and price - ISG recommends choosing a partner with deep data assets and clear goals so results drive outcomes like renegotiation, capped price adjustments, or termination rights rather than surprise disputes (How to Get the Most Out of IT Benchmarking - ISG).

So what: a single AI prompt that returns normalized comparators, binding vs. non‑binding consequence language, and the benchmarker's report can convert months of manual analysis into one defensible negotiating playbook for Fort Worth procurement teams.

Design choice	Typical practice / impact
Initial contract term	Under 5 years - formal benchmarking often optional; 5+ years - regular benchmarks common (Thomson Reuters)
Sample size	Minimum ~4 comparators; larger samples require tighter peer definition (Thomson Reuters)
Result status	Binding (automatic price adjustments) vs non‑binding (renegotiation trigger); alternatives include capped adjustments or termination rights (Thomson Reuters)
Methodology guardrails	Independent benchmarker, normalization for volumes/SLAs/financing, and clear scope definitions (Thomson Reuters / ISG)

Prompt #8 - “Identify key decision‑makers for contracts in [specific agency]” - turns scattered contact lists into a targeted outreach map by surfacing the three decision‑maker layers that actually move awards: Office of Small and Disadvantaged Business Utilization (OSDBU) reps who advocate for socioeconomic set‑asides, contracting officers and acquisition staff who control award mechanics, and program managers who use the solution and wield heavy technical influence (TargetGov overview of federal contracting decision makers).

Combine that prompt with procurement data pulls from SAM.gov/FPDS/USASpending to attach names, recent awards, and contact points - turning a cold call into a prioritized, evidence‑backed outreach plan that highlights advocacy pathways (OSDBU) and the end‑user champions (program managers) most likely to sway contracting officers (GovSpend guide to data‑driven procurement intelligence).

GovTribe's prompt library shows this exact query yields fast, actionable lists for agency‑level stakeholder mapping, so the “so what” is immediate: knowing which layer to contact (and why) converts generic marketing into targeted advocacy that shortens the sales cycle and improves win probability (GovTribe prompt example: identify key decision‑makers for federal contracting).

Decision‑Maker Layer	Primary Interest / Use
OSDBU / Small Business Reps	Socioeconomic status, set‑aside advocacy, matchmaking
Contracting Officers & Acquisition Staff	Best value, low‑risk awards, solicitation compliance
Program Managers	Technical fit, end‑user requirements, performance influence

Turn a contract opportunity into a short list of credible teaming partners by combining a Partner Finder-style search with prime-level subcontracting records and proven teaming vehicles: use HigherGov's Partner Finder filters (agency, NAICS, place of performance, certifications and ranked obligations) to surface primes and subs with relevant past performance, then cross-check those names in the GSA Subcontracting Directory and SubNet to confirm which primes carry formal small‑business subcontracting plans, reported goals, UEIs, and contact points for SBLO outreach (HigherGov Partner Finder - find teaming partners by agency, NAICS, and obligations, GSA Subcontracting Directory & SubNet - primes with subcontracting plans and SBLO contact info).

For deals in Fort Worth specifically - where market intelligence platforms track hundreds of local professional services bids - adding a vetted teaming organization such as a Mentor‑Protégé or CTA partner (example: PRIDE Industries' federal teaming and MPJV structures) gives small firms an immediate path to prime/sub arrangements and technical credibility (PRIDE Industries Federal Teaming - example Mentor‑Protégé and MPJV structures).

So what: this three‑step workflow turns a long list of unknowns into a ranked, contactable partner slate that ties NAICS fit, past Fort Worth performance, and an executable teaming vehicle into a single outreach plan.

Resource	What it yields
HigherGov Partner Finder	Ranked partner candidates by obligations, filters for agency/NAICS/place
GSA Subcontracting Directory / SubNet	Primes with required subcontracting plans, UEI, NAICS, SBLO/contact info
PRIDE Industries (Federal Teaming)	Example teaming vehicles: prime/sub, Mentor‑Protégé JVs, MPJV pathways

A targeted prompt that “Analyze the impact of recent policy changes on [specific industry or service]” helps Fort Worth agencies translate national grant and EO activity into concrete local risk and opportunity - recent executive orders and agency moves (e.g., NIH's 15% indirect‑cost notice and sweeping grant oversight EOs) are already constraining recoverable overhead, pausing foreign aid awards, and curtailing DEI‑linked programming, which means hospitals, universities, and nonprofits in Texas should rerun cash‑flow forecasts, reprice grant budgets, and prioritize non‑discretionary funding streams to avoid sudden shortfalls (CLA: Federal Funding and Executive Orders).

Equally important, the new grant review structures and OMB/agency directives raise the odds that discretionary awards will be delayed or revised - so Fort Worth procurement and finance teams must map each award's terms, identify which grants could face termination or stricter drawdown controls, and line up alternative partners or local revenue sources to bridge gaps (Venable: How the Latest EO Reshapes Federal Grantmaking).

So what: running one prompt against active awards can surface which Fort Worth projects lose >10–15% in indirect recovery or face immediate compliance audits, turning policy noise into an actionable mitigation plan.

Policy / Notice	Key effect
NIH indirect cost notice (Feb 10, 2025)	Standard indirect cost rate cap of 15% on new and post‑notice expenses
EO: Ending Illegal Discrimination and Restoring Merit‑Based Opportunity (Jan 21, 2025)	Removes DEI language from guidance; grantee certification and potential investigations
EO: Reevaluating & Realigning U.S. Foreign Aid (Jan 21, 2025)	Pauses new obligations and disbursements; stop‑work orders for foreign assistance
EO: Expanding Educational Freedom and Opportunity (Jan 29 / Feb 7, 2025)	Shifts discretionary priorities toward school‑choice funding and block grant redefinitions

"Discretionary awards must, where applicable, demonstrably advance the President's policy priorities." - Venable LLP

Fort Worth agencies should move from concept to controlled action: start with scoped internal prototypes that follow the GSA “Starting an AI project” lifecycle - small pilots to validate data, KPIs, and test‑and‑evaluation needs rather than broad procurements (GSA: Starting an AI project); pair each pilot with focused staff training so prompt writing and prompt governance live inside the organization (Nucamp's 15‑week AI Essentials for Work course teaches prompt design and workplace use cases, register for Nucamp AI Essentials for Work); and align pilots with regional assets and economic plans so city investment converts into operational benefit - for example, the City Council's $15M approval to support an AI‑cloud factory signals local prototyping capacity that agencies can tap for validated pilots and workforce pipelines (Fort Worth Report: $15M AI‑cloud factory).

So what: short, governed pilots plus prompt‑writing training turn policy ambition into measurable wins - faster service delivery, clearer procurement requirements, and ready staff able to run and audit the models.

Immediate Step	Why it matters	Source
Run a scoped prototype	Validates data, KPIs, and T&E before buying	GSA guide
Train staff in prompt writing	Builds internal capability to operate and audit AI	Nucamp AI Essentials (15 weeks)
Coordinate with local innovation assets	Leverages city investments and prototyping labs for pilots	Fort Worth AI‑cloud factory approval

“We want this to be useful to us. We want it to work for us. We don't want to work for it.” - Rep. Giovanni Capriglione